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Publications

Xinrun Wang, Milind Tambe, Branislav Bošanský, Bo An (2019). When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games. GameSec 2019: Decision and Game Theory for Security. https://doi.org/10.1007/978-3-030-32430-8_32.

Daniel Freund, Shane G. Henderson, Eoin O'Mahony, David B. Shmoys (2019). Analytics and Bikes: Riding Tandem with Motivate to Improve Mobility. INFORMS Journal on Applied Analytics. https://doi.org/10.1287/inte.2019.1005.

Rafael M. Almeida, Qinru Shi, Jonathan M. Gomes-Selman, Xiaojian Wu, Yexiang Xue, Hector Angarita, ... Alexander S. Flecker (2019). Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning. Nature Communications. https://doi.org/10.1038/s41467-019-12179-5.

Andrew Morozov, Karen Abbott, Kim Cuddington, Tessa Francis, Gabriel Gellner, Alan Hastings, ... Mary Lou Zeeman (2019). Long transients in ecology: Theory and applications. Physics of Life Reviews. https://doi.org/10.1016/j.plrev.2019.09.004.

Douglas S. Hamilton, Rachel A. Scanza, Yan Feng, Joseph Guinness, Jasper F. Kok, Longlei Li, ... Natalie M. Mahowald (2019). Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0). Geoscientific Model Development. https://doi.org/10.5194/gmd-12-3835-2019. [pdf]

Carla Gomes, Thomas Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, ... Mary Lou Zeeman (2019). Computational Sustainability: Computing for a Better World and a Sustainable Future. Communications of the ACM. https://doi.org/10.1145/3339399. [pdf]

Related

Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David Lobell, Stefano Ermon (2019). Learning to Interpret Satellite Images using Wikipedia. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/502. [pdf]

Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, Marshall Burke, ... Stefano Ermon (2019). Predicting Economic Development using Geolocated Wikipedia Articles. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19. https://doi.org/10.1145/3292500.3330784.

Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon (2019). Sliced Score Matching: A Scalable Approach to Density and Score Estimation. Conference on Uncertainty in Artificial Intelligence (UAI2019). [pdf]

Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon (2019). Adaptive Hashing for Model Counting. Conference on Uncertainty in Artificial Intelligence (UAI2019). [pdf]

Sebastian E. Ament, Helge S. Stein, Dan Guevarra, Lan Zhou, Joel A. Haber, David A. Boyd, ... Carla P. Gomes (2019). Multi-component background learning automates signal detection for spectroscopic data. npj Computational Materials. https://doi.org/10.1038/s41524-019-0213-0.

Shengjia Zhao, Jiaming Song, Stefano Ermon (2019). InfoVAE: Balancing Learning and Inference in Variational Autoencoders . Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v33i01.33015885. [pdf]

Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, Stefano Ermon (2019). Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v33i01.33013967. [pdf]

Di Chen, Carla P. Gomes (2019). Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v33i01.3301493 . [pdf]

Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes (2019). Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v33i01.3301476. [pdf]

Anmol Kabra, Yexiang Xue, Carla P. Gomes (2019). CPU-accelerated principal-agent game for scalable citizen science. Proceedings of the Conference on Computing & Sustainable Societies - COMPASS '19. https://doi.org/10.1145/3314344.3332495.

Amrita Gupta, Bistra Dilkina, Dana J. Morin, Angela K. Fuller, J. Andrew Royle, Christopher Sutherland, Carla P. Gomes (2019). Reserve design to optimize functional connectivity and animal density. Conservation Biology. https://doi.org/10.1111/cobi.13369.

Warren B. Powell (2019). A unified framework for stochastic optimization. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2018.07.014.

Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic (2019). Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). [pdf]

Rose M Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, David Lobell (2019). Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. [pdf]

Kristy Choi, Kedar Tatwawadi, Aditya Grover, Tsachy Weissman, Stefano Ermon (2019). Neural Joint Source-Channel Coding. Proceedings of the 36th International Conference on Machine Learning.

Aditya Grover, Aaron Zweig, Stefano Ermon (2019). Graphite: Iterative Generative Modeling of Graphs. Proceedings of the 36th International Conference on Machine Learning.

Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon (2019). Calibrated Model-Based Deep Reinforcement Learning. Proceedings of the 36th International Conference on Machine Learning.

Hongyu Ren, Shengjia Zhao, Stefano Ermon (2019). Adaptive Antithetic Sampling for Variance Reduction. Proceedings of the 36th International Conference on Machine Learning.

Lantao Yu, Jiaming Song, Stefano Ermon (2019). Multi-Agent Adversarial Inverse Reinforcement Learning. Proceedings of the 36th International Conference on Machine Learning.

Kevin P. O'Keeffe, Amin Anjomshoaa, Steven H. Strogatz, Paolo Santi, Carlo Ratti (2019). Quantifying the sensing power of vehicle fleets. Proceedings of the National Academy of Sciences (PNAS). https://doi.org/10.1073/pnas.1821667116.

Po-Wei Wang, Priya Donti, Bryan Wilder, Zico Kolter (2019). SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. Proceedings of the 36th International Conference on Machine Learning, PMLR. [pdf]

Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe (2019). Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems.

Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe (2019). Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems.

Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe (2019). Using Game Theory in Real Time in the Real World: A Conservation Case Study. Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems.

Julia Berazneva, Jon M Conrad, David T Güereña, Johannes Lehmann, Dominic Woolf (2019). Agricultural Productivity and Soil Carbon Dynamics: A Bioeconomic Model. American Journal of Agricultural Economics. https://doi.org/10.1093/ajae/aaz014.

Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John Gregoire, Carla Gomes (2019). Imitation Refinement for X-ray Diffraction Signal Processing. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/ICASSP.2019.8683723.

Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon (2019). Stochastic Optimization of Sorting Networks via Continuous Relaxations. Seventh International Conference on Learning Representations (ICLR 2019). [pdf]

J. Nicolas Hernandez-Aguilera, Jon M. Conrad, Miguel I. Gómez, Amanda D. Rodewald (2019). The Economics and Ecology of Shade-grown Coffee: A Model to Incentivize Shade and Bird Conservation. Ecological Economics. https://doi.org/10.1016/j.ecolecon.2019.01.015.

Carla P. Gomes, Junwen Bai, Yexiang Xue, Johan Björck, Brendan Rappazzo, Sebastian Ament, ... John M. Gregoire (2019). CRYSTAL: a multi-agent AI system for automated mapping of materials' crystal structures. MRS Communications. https://doi.org/10.1557/mrc.2019.50.

Rui Shu, Hung Bui, Jay Whang, Stefano Ermon (2019). Training Variational Autoencoders with Buffered Stochastic Variational Inference. Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS).

Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon (2019). Learning Controllable Fair Representations. Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS).

Aditya Grover, Stefano Ermon (2019). Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization. Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS).

Mike Wu, Noah Goodman, Stefano Ermon (2019). Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference. Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS).

Sagar Jha, Jonathan Behrens, Theo Gkountouvas, Matthew Milano, Weijia Song, Edward Tremel, ... Kenneth P. Birman (2019). Derecho: Fast State Machine Replication for Cloud Services. ACM Transactions on Computer Systems (TOCS). https://doi.org/10.1145/3302258.

Richard Schuster, Scott Wilson, Amanda D. Rodewald, Peter Arcese, Daniel Fink, Tom Auer, Joseph. R. Bennett (2019). Optimizing the conservation of migratory species over their full annual cycle. Nature Communications. https://doi.org/10.1038/s41467-019-09723-8.

Fei Fang, Milind Tambe, Bistra Dilkina, Andrew J. Plumptre (2019). Artificial Intelligence and Conservation. https://doi.org/10.1017/9781108587792.

Daniel Freund, Shane G. Henderson, David B. Shmoys (2019). Bike Sharing. Sharing Economy. https://doi.org/10.1007/978-3-030-01863-4_18.

Frank A. La Sorte, Kyle G. Horton, Cecilia Nilsson, Adriaan M. Dokter (2018). Projected changes in wind assistance under climate change for nocturnally migrating bird populations. Global Change Biology. https://doi.org/10.1111/gcb.14531.

Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon (2018). Amortized Inference Regularization. Advances in Neural Information Processing Systems 31 (NIPS 2018).

Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah Goodman, Stefano Ermon (2018). Bias and Generalization in Deep Generative Models: An Empirical Study. Advances in Neural Information Processing Systems 31 (NIPS 2018).

Yang Song, Rui Shu, Nate Kushman, Stefano Ermon (2018). Constructing Unrestricted Adversarial Examples with Generative Models. Advances in Neural Information Processing Systems 31 (NIPS 2018).

Garrett Bernstein, Daniel R. Sheldon (2018). Differentially Private Bayesian Inference for Exponential Families. Advances in Neural Information Processing Systems 31 (NIPS 2018).

Rico Angell, Daniel R. Sheldon (2018). Inferring Latent Velocities from Weather Radar Data using Gaussian Processes. Advances in Neural Information Processing Systems 31 (NIPS 2018).

Neal Jean, Sang Michael Xie, Stefano Ermon (2018). Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance. Advances in Neural Information Processing Systems 31 (NIPS 2018).

Aditya Grover, Tudor Achim, Stefano Ermon (2018). Streamlining Variational Inference for Constraint Satisfaction Problems. Advances in Neural Information Processing Systems 31 (NIPS 2018).

Nils Bjorck, Carla P. Gomes, Bart Selman, Kilian Q. Weinberger (2018). Understanding Batch Normalization. Advances in Neural Information Processing Systems 31 (NIPS 2018).

Katherine Meyer, Alanna Hoyer-Leitzel, Sarah Iams, Ian Klasky, Victoria Lee, Stephen Ligtenberg, ... Mary Lou Zeeman (2018). Quantifying resilience to recurrent ecosystem disturbances using flow–kick dynamics. Nature Sustainability. https://doi.org/10.1038/s41893-018-0168-z.

P. van den Driessche, Abdul-Aziz Yakubu (2018). Demographic population cycles and ℛ₀ in discrete-time epidemic models. Journal of Biological Dynamics. https://doi.org/10.1080/17513758.2018.1537449.

Orin J. Robinson, Viviana Ruiz-Gutierrez, Daniel Fink, Robert J. Meese, Marcel Holyoak, Evan G. Cooch (2018). Using citizen science data in integrated population models to inform conservation. Biological Conservation. https://doi.org/10.1016/j.biocon.2018.10.002.

D. Fink, T. Auer, A. Johnston, M. Strimas-Mackey, M. Iliff, S. Kelling (2018). eBird Status and Trends. Cornell Lab of Ornithology.

Jennifer Denno Cissé, Christopher B. Barrett (2018). Estimating development resilience: A conditional moments-based approach. Journal of Development Economics. https://doi.org/10.1016/j.jdeveco.2018.04.002.

Milind Tambe, Eric Rice (2018). Artificial Intelligence and Social Work. Artificial Intelligence for Social Good.

Abdul-Aziz Yakubu, Najat Ziyadi (2018). A discrete-time anthrax model in human and herbivore populations. Natural Resource Modeling. https://doi.org/10.1111/nrm.12192.

Abdul-Aziz Yakubu (2018). Population cycles in discrete-time infectious disease models. Notices of the American Mathematical Society. https://doi.org/10.1090/noti1727.

Alan Hastings, Karen C. Abbott, Kim Cuddington, Tessa Francis, Gabriel Gellner, Ying-Cheng Lai, ... Mary Lou Zeeman (2018). Transient phenomena in ecology. Science. https://doi.org/10.1126/science.aat6412 .

Heidi J. Albers, Kim Meyer Hall, Katherine D. Lee, Majid Alkaee Taleghan, Thomas G.Dietterich (2018). The Role of Restoration and Key Ecological Invasion Mechanisms in Optimal Spatial-Dynamic Management of Invasive Species. Ecological Economics. https://doi.org/10.1016/j.ecolecon.2018.03.031.

Guillaume Perez, Brendan Rappazzo, Carla Gomes (2018). Extending the Capacity of 1 / f Noise Generation. CP 2018: Principles and Practice of Constraint Programming. https://doi.org/10.1007/978-3-319-98334-9_39.

Carmen Chilson, Katherine Avery, Amy McGovern, Eli Bridge, Daniel Sheldon, Jeffrey Kelly (2018). Automated detection of bird roosts using NEXRAD radar data and Convolutional neural networks. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.92.

Saksham Agarwal, Shijin Rajakrishnan, Akshay Narayan, Rachit Agarwal, David Shmoys, Amin Vahdat (2018). Sincronia: near-optimal network design for coflows. Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication (SIGCOMM '18). https://doi.org/10.1145/3230543.3230569.

Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, ... Stefano Ermon (2018). Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '18). https://doi.org/10.1145/3219819.3219924.

Patrick R. Steele, Shane G. Henderson, David B. Shmoys (2018). Aggregating courier deliveries. Naval Research Logistics (NRL). https://doi.org/10.1002/nav.21804.

Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon (2018). Bayesian optimization and attribute adjustment. Proc. 34th Conference on Uncertainty in Artificial Intelligence (UAI-18) [pdf]

Shengjia Zhao, Jiaming Song, Stefano Ermon (2018). A Lagrangian Perspective on Latent Variable Generative Models. Proc. 34th Conference on Uncertainty in Artificial Intelligence (UAI-18) [pdf]

Travis Moore, Weng-Keen Wong (2018). An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates. Proc. 34th Conference on Uncertainty in Artificial Intelligence (UAI-18) [pdf]

Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon (2018). Adversarial Constraint Learning for Structured Prediction . Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2018/366. [pdf]

Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha (2018). Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2018/470. [pdf]

Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, ... Milind Tambe (2018). Near Real-Time Detection of Poachers from Drones in AirSim . Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2018/847. [pdf]

Daniel Sheldon, Kevin Winner, Debora Sujono (2018). Learning in Integer Latent Variable Models with Nested Automatic Differentiation. Proceedings of the 35th International Conference on Machine Learning (PMLR).

Di Chen, Yexiang Xue, Carla Gomes (2018). End-to-End Learning for the Deep Multivariate Probit Model. Proceedings of the 35th International Conference on Machine Learning (PMLR).

Yang Song, Jiaming Song, Stefano Ermon (2018). Accelerating Natural Gradient with Higher-Order Invariance. Proceedings of the 35th International Conference on Machine Learning (PMLR).

Manik Dhar, Aditya Grover, Stefano Ermon (2018). Modeling Sparse Deviations for Compressed Sensing using Generative Models. Proceedings of the 35th International Conference on Machine Learning (PMLR).

Volodymyr Kuleshov, Nathan Fenner, Stefano Ermon (2018). Accurate Uncertainties for Deep Learning Using Calibrated Regression. Proceedings of the 35th International Conference on Machine Learning (PMLR).

Bryan Wilder, Han Ching Ou, Kayla de la Haye, Milind Tambe (2018). Optimizing Network Structure for Preventative Health. Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems.

Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Margaret Driciru, ... Eric Enyel (2018). Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers. Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems.

Natalie M. Mahowald, Douglas S. Hamilton, Katherine R. M. Mackey, J. Keith Moore, Alex R. Baker, Rachel A. Scanza, Yan Zhang (2018). Aerosol trace metal leaching and impacts on marine microorganisms. Nature Communications. https://doi.org/10.1038/s41467-018-04970-7.

Nicole, Sintov, Viviane Seyranian, Milind Tambe (2018). Adoption of Conservation Technologies. Wildlife Crime: From Theory to Practice.

Jonathan M. Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt García-Villacorta, Alexander S. Flecker, Carla P. Gomes (2018). Boosting Efficiency for Computing the Pareto Frontier on Tree Structured Networks. CPAIOR 2018: Integration of Constraint Programming, Artificial Intelligence, and Operations Research. https://doi.org/10.1007/978-3-319-93031-2_19.

Junwen Bai, Sebastian Ament, Guillaume Perez, John Gregoire, Carla Gomes (2018). An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science. CPAIOR 2018: Integration of Constraint Programming, Artificial Intelligence, and Operations Research. https://doi.org/10.1007/978-3-319-93031-2_4.

Huaiyang Zhong, Xiaocheng Li, David Lobell, Stefano Ermon, Margaret L. Brandeau (2018). Hierarchical modeling of seed variety yields and decision making for future planting plans. Environment Systems and Decisions. https://doi.org/10.1007/s10669-018-9695-4.

Hangil Chung, Daniel Freund, David B. Shmoys (2018). Bike Angels: An Analysis of Citi Bike's Incentive Program. Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS '18). https://doi.org/10.1145/3209811.3209866. [pdf]

Qinru Shi, Jonathan M. Gomes-Selman, Roosevelt García-Villacorta, Suresh Sethi, Alexander S. Flecker, Carla P. Gomes (2018). Efficiently Optimizing for Dendritic Connectivity on Tree-Structured Networks in a Multi-Objective Framework. Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS '18). https://doi.org/10.1145/3209811.3209878. [pdf]

Amrita Gupta, Caleb Robinson, Bistra Dilkina (2018). Infrastructure Resilience for Climate Adaptation. Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS '18). https://doi.org/10.1145/3209811.3209859. [pdf]

Caleb Robinson, Bistra Dilkina (2018). A Machine Learning Approach to Modeling Human Migration. Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS '18). https://doi.org/10.1145/3209811.3209868. [pdf]

Srinivasan Iyengar, Stephen Lee, Daniel Sheldon, Prashant Shenoy (2018). SolarClique: Detecting Anomalies in Residential Solar Arrays. Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS '18). https://doi.org/10.1145/3209811.3209860. [pdf]

Elizabeth Bondi, Lucas Joppa, Milind Tambe, Debadeepta Dey, Ashish Kapoor, Jim Piavis, ... Arvind Iyer (2018). AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS '18). https://doi.org/10.1145/3209811.3209880. [pdf]

Anna X. Wang, Caelin Tran, Nikhil Desai, David Lobell, Stefano Ermon (2018). Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data. Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS '18). https://doi.org/10.1145/3209811.3212707. [pdf]

Kim Meyer Hall, Heidi J. Albers, Majid Alkaee Taleghan, Thomas G. Dietterich (2018). Optimal Spatial-Dynamic Management of Stochastic Species Invasions. Environmental and Resource Economics. https://doi.org/10.1007/s10640-017-0127-6.

C. H. Fleming, D. Sheldon, W. F. Fagan, P. Leimgruber, T. Mueller, D. Nandintsetseg, ... J. M. Calabrese (2018). Correcting for missing and irregular data in home-range estimation. Ecological Applications. https://doi.org/10.1002/eap.1704.

C. Ponce, D. S. Bindel, P. S. Vassilevski (2018). A Nonlinear Algebraic Multigrid Framework for the Power Flow Equations. SIAM Journal on Scientific Computing. https://doi.org/10.1137/16M1109965.

M. M. Vazifeh, P. Santi, G. Resta, S. H. Strogatz, C. Ratti (2018). Addressing the minimum fleet problem in on-demand urban mobility. Nature. https://doi.org/10.1038/s41586-018-0095-1.

Mary Lou Zeeman, Katherine Meyer, Erika Bussmann, Alanna Hoyer-Leitzel, Sarah Iams, Ian J. Klasky, ... Stephen Ligtenberg (2018). Resilience of socially valued properties of natural systems to repeated disturbance: A framework to support value-laden management decisions. Natural Resource Modeling. https://doi.org/10.1111/nrm.12170.

Kevin Winner, Michael J. Noonan, Christen H. Fleming, Kirk A. Olson, Thomas Mueller, Daniel Sheldon, Justin M. Calabrese (2018). Statistical inference for home range overlap. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.13027.

Kyle G. Horton, Benjamin M. Van Doren, Frank A. La Sorte, Daniel Fink, Daniel Sheldon, Andrew Farnsworth, Jeffrey F. Kelly (2018). Navigating north: how body mass and winds shape avian flight behaviours across a North American migratory flyway. Ecology Letters. https://doi.org/10.1111/ele.12971.

Joseph Durante, Raj Patel, Warren B. Powell (2018). Scenario Generation Methods that Replicate Crossing Times in Spatially Distributed Stochastic Systems. SIAM/ASA Journal on Uncertainty Quantification. https://doi.org/10.1137/17M1120555.

P. van den Driessche, Abdul-Aziz Yakubu (2018). Disease Extinction Versus Persistence in Discrete-Time Epidemic Models. Bulletin of Mathematical Biology. https://doi.org/10.1007/s11538-018-0426-2.

Aditya Grover, Ramki Gummadi, Miguel Lazaro-Gredilla, Dale Schuurmans, Stefano Ermon (2018). Variational Rejection Sampling. Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (PMLR). [pdf]

Aditya Grover, Todor Markov, Peter Attia, Norman Jin, Nicolas Perkins, Bryan Cheong, ... Stefano Ermon (2018). Best arm identification in multi-armed bandits with delayed feedback. Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (PMLR). [pdf]

Orin J. Robinson, Viviana Ruiz-Gutierrez, Daniel Fink (2018). Correcting for bias in distribution modelling for rare species using citizen science data. Diversity and Distributions. https://doi.org/10.1111/ddi.12698.

Soroush Alamdari, David Shmoys (2018). A Bicriteria Approximation Algorithm for the k-Center and k-Median Problems. Approximation and Online Algorithms (WAOA 2017). https://doi.org/10.1007/978-3-319-89441-6_6.

Yingfei Wang, Warren B. Powell (2018). Finite-Time Analysis for the Knowledge-Gradient Policy. SIAM Journal on Control and Optimization. https://doi.org/10.1137/16M1073388.

Majid Alkaee Taleghan, Thomas G. Dietterich (2018). Efficient Exploration for Constrained MDPs. 2018 AAAI Spring Symposium Series. [pdf]

Junwen Bai, Yexiang Xue, Johan Bjorck, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, ... Carla P. Gomes (2018). Phase Mapper: Accelerating Materials Discovery with AI. AI Magazine. https://doi.org/10.1609/aimag.v39i1.2785.

Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon (2018). Learning with Weak Supervision from Physics and Data-Driven Constraints. AI Magazine. https://doi.org/10.1609/aimag.v39i1.2776.

Douglas H. Fisher, Jacqueline Cameron, Tamara L. Clegg, Stephanie E. August (2018). Integrating Social Good into CS Education. Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE '18). https://doi.org/10.1145/3159450.3159622. [pdf]

Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, ... Ram Nevatia (2018). SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. The Thirtieth AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-18).

Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark Whitmore, Carla Gomes (2018). Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). [pdf]

Bryan Wilder, Sze-Chuan Suen, Milind Tambe (2018). Preventing Infectious Disease in Dynamic Populations Under Uncertainty. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). [pdf]

Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes (2018). Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). [pdf]

Aditya Grover, Manik Dhar, Stefano Ermon (2018). Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). [pdf]

Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt Garcia-Villacorta, Elizabeth Anderson, ... Carla Gomes (2018). Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). [pdf]

Daniel Levy, Stefano Ermon (2018). Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). [pdf]

Aditya Grover, Stefano Ermon (2018). Boosted Generative Models. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). [pdf]

Jonathan Kuck, Ashish Sabharwal, Stefano Ermon (2018). Approximate Inference via Weighted Rademacher Complexity. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). [pdf]

Shahrzad Gholami, Benjamin Ford, Debarun Kar, Fei Fang, Milind Tambe, Andrew Plumptre, ... Joshua Mabonga (2018). Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence: Engineering Dependable and Secure Machine Learning Systems.

Bryan Wilder, Sze-Chuan Suen, Milind Tambe (2018). Preventing Infectious Disease in Dynamic Populations under Uncertainty. Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence: Health Intelligence.

J. F. Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern (2018). Dictionary Learning for Bioacoustics Monitoring with Applications to Species Classification. Journal of Signal Processing Systems. https://doi.org/10.1007/s11265-016-1155-0.

Joleah B. Lamb, Bette L. Willis, Evan A. Fiorenza, Courtney S. Couch, Robert Howard, Douglas N. Rader, ... C. Drew Harvell (2018). Plastic waste associated with disease on coral reefs. Science. https://doi.org/10.1126/science.aar3320.

Related

Maureen A. O'Leary, Kenzley Alphonse, Arce H. Mariangeles, Dario Cavaliere, Andrea Cirranello, Thomas G. Dietterich, ... Marymegan Daly (2018). Crowds Replicate Performance of Scientific Experts Scoring Phylogenetic Matrices of Phenotypes. Systematic Biology. https://doi.org/10.1093/sysbio/syx052.

Bertrand Ottino-Loffler, Jacob G Scott, Steven H Strogatz (2017). Evolutionary dynamics of incubation periods. eLife. https://doi.org/10.7554/eLife.30212. [pdf]

Caleb Robinson, Bistra Dilkina, Jeffrey Hubbs, Wenwen Zhang, Subhrajit Guhathakurta, Marilyn A. Brown, Ram M. Pendyala (2017). Machine learning approaches for estimating commercial building energy consumption. Applied Energy. https://doi.org/10.1016/j.apenergy.2017.09.060.

Carla Gomes (2017). Keynotes: Computational sustainability. 2017 Sustainable Internet and ICT for Sustainability (SustainIT). https://doi.org/10.23919/SustainIT.2017.8379790.

Priya Donti, Brandon Amos, J. Zico Kolter (2017). Task-based End-to-end Model Learning in Stochastic Optimization. Advances in Neural Information Processing Systems 30 (NIPS 2017). [pdf]

Related

Tao Sun, Dan Sheldon, Brendan O'Connor (2017). A Probabilistic Approach for Learning with Label Proportions Applied to the US Presidential Election. 2017 IEEE International Conference on Data Mining (ICDM). https://doi.org/10.1109/ICDM.2017.54.

Kevin P. O'Keeffe, Hyunsuk Hong, Steven H. Strogatz (2017). Oscillators that sync and swarm. Nature Communications. https://doi.org/10.1038/s41467-017-01190-3. arXiv: 1701.05670. [pdf]

Daniel R. Jiang, Warren B. Powell (2017). Risk-Averse Approximate Dynamic Programming with Quantile-Based Risk Measures. Mathematics of Operations Research. https://doi.org/10.1287/moor.2017.0872.

Haifeng Xu, Benjamin Ford, Fei Fang, Bistra Dilkina, Andrew Plumptre, Milind Tambe, ... Joshua Mabonga (2017). Optimal Patrol Planning for Green Security Games with Black-Box Attackers. International Conference on Decision and Game Theory for Security. https://doi.org/10.1007/978-3-319-68711-7_24. [pdf]

Christopher J. Lauer, Claire A.Montgomery, Thomas G.Dietterich (2017). Spatial interactions and optimal forest management on a fire-threatened landscape. Forest Policy and Economics. https://doi.org/10.1016/j.forpol.2017.07.006.

Shahrzad Gholami, Benjamin Ford, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, ... Joshua Mabonga (2017). Taking it for a test drive: A hybrid spatio-temporal model for wildlife poaching prediction evaluated through a controlled field test. Proceedings of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases. [pdf]

Natalie M Mahowald, Daniel S Ward, Scott C Doney, Peter G Hess, James T Randerson (2017). Are the impacts of land use on warming underestimated in climate policy?. Environmental Research Letters. https://doi.org/10.1088/1748-9326/aa836d. [pdf]

Alice Paul, Daniel Freund, Aaron Ferber, David B. Shmoys, David P. Williamson (2017). Prize-Collecting TSP with a Budget Constraint. 25th Annual European Symposium on Algorithms (ESA 2017). https://doi.org/10.4230/LIPIcs.ESA.2017.62. [pdf]

Venu M. Garikapati, Daehyun You, Wenwen Zhang, Ram M. Pendyala, Subhrajit Guhathakurta, Marilyn A. Brown, Bistra Dilkina (2017). Estimating Household Travel Energy Consumption in Conjunction with a Travel Demand Forecasting Model. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.3141/2668-01.

Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes (2017). Deep Multi-species Embedding. Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17). https://doi.org/10.24963/ijcai.2017/509. [pdf]

Xiaojian Wu, Yexiang Xue, Bart Selman, Carla P. Gomes (2017). XOR-Sampling for Network Design with Correlated Stochastic Events. Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17). https://doi.org/10.24963/ijcai.2017/647. arXiv: 1705.08218. [pdf]

Mark D. Reynolds, Brian L. Sullivan, Eric Hallstein, Sandra Matsumoto, Steve Kelling, Matthew Merrifield, ... Scott A. Morrison (2017). Dynamic conservation for migratory species. Science Advances. https://doi.org/10.1126/sciadv.1700707.

Neal Jean, Chi-Sing Ho, Amr Saleh, Niaz Banaei, Jennifer Dionne, Stefano Ermon (2017). Enabling rapid screening of bacterial blood infections with machine learning. ICML 2017 Workshop on Computational Biology.

Poster Presentation Award

Kevin Winner, Debora Sujono, Dan Sheldon (2017). Exact Inference for Integer Latent-Variable Models. Proceedings of the 34th International Conference on Machine Learning (PMLR). [pdf]

North American Bird Conservation Initiative, U.S. Committee (2017). The State of the Birds 2017: A Farm Bill Special Report.

Nathaniel D. Jensen, Russell Dean Toth, Yexiang Xue, Rich Bernstein, Eddy K. Chebelyon, Andrew G. Mude, ... Carla Gomes (2017). Don't Follow the Crowd: Incentives for Directed Spatial Sampling. Agricultural & Applied Economics Association (AAEA).

Alison Johnston, Daniel Fink, Wesley M. Hochachka, Steve Kelling (2017). Estimates of observer expertise improve species distributions from citizen science data. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.12838.

Frank A. La Sorte, Daniel Fink, Peter J. Blancher, Amanda D. Rodewald, Viviana Ruiz-Gutierrez, Kenneth V. Rosenberg, ... Steve Kelling (2017). Global change and the distributional dynamics of migratory bird populations wintering in Central America. Global Change Biology. https://doi.org/10.1111/gcb.13794.

Reid Pryzant, Stefano Ermon, David Lobell (2017). Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning. CVPR 2017 EARTHVISION Workshop. https://doi.org/10.1109/CVPRW.2017.196. [pdf]

Best Presentation Award

Bertrand Ottino-Löffler, Jacob G. Scott, Steven H. Strogatz (2017). Takeover times for a simple model of network infection. Physical Review E. https://doi.org/10.1103/PhysRevE.96.012313.

Frank A. La Sorte, Daniel Fink, Jeffrey J. Buler, Andrew Farnsworth, Sergio A. Cabrera-Cruz (2017). Seasonal associations with urban light pollution for nocturnally migrating bird populations. Global Change Biology. https://doi.org/10.1111/gcb.13792.

Christen H. Fleming, Daniel Sheldon, Eliezer Gurarie, William F. Fagan, Scott LaPoint, Justin M. Calabrese (2017). Kálmán filters for continuous-time movement models. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2017.04.008.

Daniel Freund, Shane G. Henderson, David B. Shmoys (2017). Minimizing Multimodular Functions and Allocating Capacity in Bike-Sharing Systems. Integer Programming and Combinatorial Optimization (IPCO 2017). https://doi.org/10.1007/978-3-319-59250-3_16.

Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris (2017). Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework. Proceedings of the 2017 ACM Conference on Economics and Computation (EC '17). https://doi.org/10.1145/3033274.3085099. arXiv: 1608.06819. [pdf]

Related

Bolong Cheng, Tsvetan Asamov, Warren B. Powell (2017). Low-Rank Value Function Approximation for Co-optimization of Battery Storage. IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2017.2716382.

Junwen Bai, Johan Bjorck, Yexiang Xue, Santosh K. Suram, John Gregoire, Carla Gomes (2017). Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery. Fourteenth International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming (CPAIOR). https://doi.org/10.1007/978-3-319-59776-8_9.

Mateo Diaz, Ronan Le Bras, Carla Gomes (2017). In Search of Balance: The Challenge of Generating Balanced Latin Rectangles. Fourteenth International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming (CPAIOR). https://doi.org/10.1007/978-3-319-59776-8_6.

Nicole Sintov, Debarun Kar, Thanh Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe (2017). Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. AI Magazine. https://doi.org/10.1609/aimag.v38i2.2733. [pdf]

Tianshu Liu, Nichole Nadermann, Zhenping He, Steven H. Strogatz, Chung-Yuen Hui, Anand Jagota (2017). Spontaneous Droplet Motion on a Periodically Compliant Substrate. Langmuir. https://doi.org/10.1021/acs.langmuir.7b01414.

Debarun Kar, Benjamin Ford, Shahrzad Gholami, Fei Fang, Andrew Plumptre, Milind Tambe, ... Aggrey Rwetsiba (2017). Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data. International Conference on Autonomous Agents and Multiagent Systems, AAMAS '17. [pdf]

Maurice Cheung, Julián Mestre, David B. Shmoys, José Verschae (2017). A Primal-Dual Approximation Algorithm for Min-Sum Single-Machine Scheduling Problems. SIAM Journal on Discrete Mathematics. https://doi.org/10.1137/16M1086819.

Nahid Jafari, Bryan L. Nuse, Clinton T. Moore, Bistra Dilkina, Jeffrey Hepinstall-Cymerman (2017). Achieving full connectivity of sites in the multiperiod reserve network design problem. Computers & Operations Research. https://doi.org/10.1016/j.cor.2016.12.017.

Moussa Doumbia, Abdul-Aziz Yakubu (2017). Malaria incidence and anopheles mosquito density in irrigated and adjacent non-irrigated villages of Niono in Mali. Discrete and Continuous Dynamical Systems - Series B (DCDS-B). https://doi.org/10.3934/dcdsb.2017042.

Fei Fang, Benjamin Ford, Rong Yang, Milind Tambe, Andrew M. Lemieux (2017). PAWS: Game-Theory Based Protection Assistant for Wildlife Security. Conservation Criminology, Ch. 10

Somayeh Moazeni, Warren B. Powell, Boris Defourny, Belgacem Bouzaiene-Ayari (2017). Parallel Nonstationary Direct Policy Search for Risk-Averse Stochastic Optimization. INFORMS Journal on Computing. https://doi.org/10.1287/ijoc.2016.0733.

Douglas H. Fisher (2017). Establishing Conventions for Citing Educational Materials. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE '17). https://doi.org/10.1145/3017680.3022396.

R. Tachet, O. Sagarra, P. Santi, G. Resta, M. Szell, S. H. Strogatz, C. Ratti (2017). Scaling Law of Urban Ride Sharing. Scientific Reports. https://doi.org/10.1038/srep42868. arXiv: 1610.09921. [pdf]

Revathy Narasimhan, Xiaoli Z. Fern, Raviv Raich (2017). Simultaneous segmentation and classification of bird song using CNN. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/ICASSP.2017.7952135.

Lina Al-Kanj, Belgacem Bouzaiene-Ayari, Warren B. Powell (2017). A Probability Model for Grid Faults Using Incomplete Information. IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2015.2447275.

Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, ... Andrew Lemieux (2017). PAWS - A Deployed Game-Theoretic Application to Combat Poaching. AI Magazine. https://doi.org/10.1609/aimag.v38i1.2710. [pdf]

Natalie M. Mahowald, Rachel Scanza, Janice Brahney, Christine L. Goodale, Peter G. Hess, J. Keith Moore, Jason Neff (2017). Aerosol Deposition Impacts on Land and Ocean Carbon Cycles. Current Climate Change Reports. https://doi.org/10.1007/s40641-017-0056-z. [pdf]

Joleah B. Lamb, Jeroen A. J. M. van de Water, David G. Bourne, Craig Altier, Margaux Y. Hein, Evan A. Fiorenza, ... C. Drew Harvell (2017). Seagrass ecosystems reduce exposure to bacterial pathogens of humans, fishes, and invertebrates. Science. https://doi.org/10.1126/science.aal1956.

Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, ... Carla P. Gomes (2017). Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. Twenty-Ninth IAAI Conference. [pdf]

Deployed Application Award

Yann Dujardin, Tom Dietterich, Iadine Chadès (2017). Three New Algorithms to Solve N-POMDPs. AAAI-17 Special Track on Computational Sustainability. [pdf]

Jiaxuan You, Xiaocheng Li, Melvin Low, David Lobell, Stefano Ermon (2017). Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. AAAI-17 Special Track on Computational Sustainability. [pdf]

Best Student Paper - CompSust Track

Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein (2017). Robust Optimization for Tree-Structured Stochastic Network Design. AAAI-17 Special Track on Computational Sustainability. arXiv: 1612.00104. [pdf]

Best Paper - CompSust Track

Yexiang Xue, Xiaojian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla Gomes (2017). Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information. AAAI-17 Special Track on Computational Sustainability. [pdf]

Douglas H. Fisher (2017). A Selected Summary of AI for Computational Sustainability. AAAI-17 Senior Member Summary Talks.

Bassidy Dembele, Abdul-Aziz Yakubu (2017). Controlling imported malaria cases in the United States of America. Mathematical Biosciences and Engineering (MBE). https://doi.org/10.3934/mbe.2017007.

Colin Ponce, David S. Bindel (2017). FLiER: Practical Topology Update Detection Using Sparse PMUs. IEEE Transactions on Power Systems. https://doi.org/10.1109/TPWRS.2017.2662002. arXiv: 1409.6644. [pdf]

Natalie M. Mahowald, James T. Randerson, Keith Lindsay, Ernesto Munoz, Scott C. Doney, Peter Lawrence, ... Forrest M. Hoffman (2017). Interactions between land use change and carbon cycle feedbacks. Global Biochemical Cycles. https://doi.org/10.1002/2016GB005374.

József Z. Farkas, Stephen A. Gourley, Rongsong Liu, Abdul-Aziz Yakubu (2017). Modelling Wolbachia infection in a sex-structured mosquito population carrying West Nile virus. Journal of Math Biology. https://doi.org/10.1007/s00285-017-1096-7. [pdf]

Santosh K. Suram, Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, ... John M. Gregoire (2017). Automated Phase Mapping with AgileFD and its Application to Light Absorber Discovery in the V-Mn-Nb Oxide System. ACS Combinatorial Science. https://doi.org/10.1021/acscombsci.6b00153. [pdf]

ACS Editors' Choice

Nourridine Siewe, Abdul-Aziz Yakubu, Abhay R Satoskar, Avner Friedman (2017). Granuloma formation in leishmaniasis: A mathematical model. Journal of Theoretical Biology. https://doi.org/10.1016/j.jtbi.2016.10.004.

Chadi Saad-Roy, P. van den Driessche, Abdul-Aziz Yakubu (2016). A Mathematical Model of Anthrax Transmission in Animal Populations. Bulletin of Mathematical Biology. https://doi.org/10.1007/s11538-016-0238-1.

Nanjing Jian, Daniel Freund, Holly M. Wiberg, Shane G. Henderson (2016). Simulation optimization for a large-scale bike-sharing system. Proceedings of the 2016 Winter Simulation Conference. https://doi.org/10.1109/WSC.2016.7822125.

Ajitesh Jain, David Robinson, Bistra Dilkina, Richard Fujimoto (2016). An approach to integrate inter-dependent simulations using HLA with applications to sustainable urban development. Proceedings of the 2016 Winter Simulation Conference. https://doi.org/10.1109/WSC.2016.7822178.

Kevin Winner, Daniel Sheldon (2016). Probabilistic Inference with Generating Functions for Poisson Latent Variable Models. Neural Information Processing Systems (NIPS). [pdf]

Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani (2016). The Multiple Quantile Graphical Model. Neural Information Processing Systems (NIPS). arXiv: 1607.00515. [pdf]

Debarun Kar, Fei Fang, Francesco M. Delle Fave, Nicole Sintov, Milind Tambe, Arnaud Lyet (2016). Comparing human behavior models in repeated Stackelberg security games: An extended study. Journal of Artificial Intelligence. https://doi.org/10.1016/j.artint.2016.08.002. [pdf]

Jingjing Liang, Thomas W. Crowther, Nicolas Picard, Susan Wiser, Mo Zhou, Giorgio Alberti, ... Peter B. Reich (2016). Positive biodiversity-productivity relationship predominant in global forests. Science. https://doi.org/10.1126/science.aaf8957. [pdf]

Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole Sintov, Milind Tambe (2016). Divide to Defend: Collusive Security Games. GameSec 2016: Decision and Game Theory for Security. https://doi.org/10.1007/978-3-319-47413-7_16. [pdf]

Douglas H. Fisher, Zimei Bian, Selina Chen (2016). Incorporating Sustainability into Computing Education. IEEE Intelligent Systems. https://doi.org/10.1109/MIS.2016.76.

Bistra Dilkina, Rachel Houtman, Carla P. Gomes, Claire A. Montgomery, Kevin S. McKelvey, Katherine Kendall, ... Michael K. Schwartz (2016). Trade-offs and efficiencies in optimal budget-constrained multispecies corridor networks. Conservation Biology. https://doi.org/10.1111/cobi.12814.

Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole Sintov, Milind Tambe (2016). Toward Addressing Collusion among Human Adversaries in Security Games. European Conference on Artificial Intelligence (ECAI). https://doi.org/10.3233/978-1-61499-672-9-1750. [pdf]

Judy Shamoun-Baranes, Andrew Farnsworth, Bart Aelterman, Jose A. Alves, Kevin Azijn, Garrett Bernstein, ... Hans van Gasteren (2016). Innovative Visualizations Shed Light on Avian Nocturnal Migration. PLOS ONE. https://doi.org/10.1371/journal.pone.0160106. [pdf]

Yexiang Xue, Ian Davies, Daniel Fink, Christopher Wood, Carla P. Gomes (2016). Behavior Identification in Two-Stage Games for Incentivizing Citizen Science Exploration. International Conference on Principles and Practice of Constraint Programming, CP 2016. https://doi.org/10.1007/978-3-319-44953-1_44. [pdf]

Neal Jean, Marshall Burke, Michael Xie, W. Matthew Davis, David B. Lobell, Stefano Ermon (2016). Combining satellite imagery and machine learning to predict poverty. Science. https://doi.org/10.1126/science.aaf7894.

Jocelyn L. Aycrigg, Craig Groves, Jodi A. Hilty, J. Michael Scott, Paul Beier, D. A. Boyce Jr., ... Rand Wentworth (2016). Completing the System: Opportunities and Challenges for a National Habitat Conservation System. Bioscience. https://doi.org/10.1093/biosci/biw090.

Siamak Safarzadegan Gilan, Naman Goyal, Bistra Dilkina (2016). Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design. GECCO '16 Proceedings of the Genetic and Evolutionary Computation Conference 2016. https://doi.org/10.1145/2908812.2908947.

Aruni Roy Chowdhury, Daniel Sheldon, Subhransu Maji, Erik Learned-Miller (2016). Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW.2016.41. [pdf]

Yexiang Xue, Stefano Ermon, Ronan LeBras, Carla P. Gomes, Bart Selman (2016). Variable Elimination in the Fourier Domain. The 33rd International Conference on Machine Learning, ICML. arXiv: 1508.04032. [pdf]

Nima Dolatnia, Alan Fern, Xiaoli Fern (2016). Bayesian Optimization with Resource Constraints and Production. Twenty-Sixth International Conference on Automated Planning and Scheduling (ICAPS). [pdf]

Nourridine Siewe, Abdul-Aziz Yakubu, Abhay R Satoskar, Avner Friedman (2016). Immune response to infection by Leishmania: A mathematical model. Mathematical Biosciences. https://doi.org/10.1016/j.mbs.2016.02.015.

Benjamin Zuckerberg, Daniel Fink, Frank A. La Sorte, Wesley M. Hochachka, Steve Kelling (2016). Novel seasonal land cover associations for eastern North American forest birds identified through dynamic species distribution modelling. Diversity and Distributions. https://doi.org/10.1111/ddi.12428.

North American Bird Conservation Initiative (2016). The State of North America's Birds 2016.

Thanh H. Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, ... Colin Beale (2016). CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection. International Conference on Autonomous Agents and Multiagent Systems (AAMAS). [pdf]

Yexiang Xue, Ian Davies, Daniel Fink, Christopher Wood, Carla P. Gomes (2016). Avicaching:A Two Stage Game for Bias Reduction in Citizen Science. International Conference on Autonomous Agents and Multiagent Systems (AAMAS). [pdf]

Andrew Farnsworth, Benjamin M. Van Doren, Wesley M. Hochachka, Daniel Sheldon, Kevin Winner, Jed Irvine, ... Steve Kelling (2016). A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern USA. Ecological Applications. https://doi.org/10.1890/15-0023.

Frank A. La Sorte, Wesley M. Hochachka, Andrew Farnsworth, André A. Dhondt, Daniel Sheldon (2016). The implications of mid-latitude climate extremes for North American migratory bird populations. Ecosphere. https://doi.org/10.1002/ecs2.1261. [pdf]

József Z. Farkas, Stephen A. Gourley, Rongsong Liu, Abdul-Aziz Yakubu (2016). Using mathematics at AIM to outwit mosquitoes. Notices of the AMS. [pdf]

Forrest Briggs, Xiaoli Fern, Raviv Raich, Matthew Betts (2016). Multi-Instance Multi Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity. AAAI-16 Special Track on Computational Sustainability. [pdf]

Akshat Kumar, Arambam James Singh, Pradeep Varakantham, Daniel Sheldon (2016). Robust Decision Making for Stochastic Network Design. AAAI-16 Special Track on Computational Sustainability. [pdf]

Sara Marie Mc Carthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion (2016). Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security. AAAI-16 Special Track on Computational Sustainability. [pdf]

Xiaojian Wu, Daniel Sheldon, Shlomo Zilberstein (2016). Optimizing Resilience in Large Scale Networks. AAAI-16 Special Track on Computational Sustainability. [pdf]

Michael Xie, Neal Jean, Marshall Burke, David Lobell, Stefano Ermon (2016). Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. AAAI-16 Special Track on Computational Sustainability. arXiv: 1510.00098. [pdf]

Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, ... Milind Tambe (2016). Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). AAAI-16 Demonstration Papers. [pdf]

Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, ... Andrew Lemieux (2016). Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. Twenty-Eighth IAAI Conference. [pdf]

Deployed Application Award

Frank A. La Sorte, Daniel Fink, Wesley M. Hochachka, Steve Kelling (2016). Convergence of broad-scale migration strategies in terrestrial birds. Proceedings of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rspb.2015.2588. [pdf]