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Stefano Ermon - Publications

Affiliations: 
Computer Science Stanford University, Palo Alto, CA 
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30 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Yeh C, Perez A, Driscoll A, Azzari G, Tang Z, Lobell D, Ermon S, Burke M. Using publicly available satellite imagery and deep learning to understand economic well-being in Africa. Nature Communications. 11: 2583. PMID 32444658 DOI: 10.1038/S41467-020-16185-W  0.317
2020 Duris J, Kennedy D, Hanuka A, Shtalenkova J, Edelen A, Baxevanis P, Egger A, Cope T, McIntire M, Ermon S, Ratner D. Bayesian Optimization of a Free-Electron Laser. Physical Review Letters. 124: 124801. PMID 32281869 DOI: 10.1103/Physrevlett.124.124801  0.313
2020 Attia PM, Grover A, Jin N, Severson KA, Markov TM, Liao YH, Chen MH, Cheong B, Perkins N, Yang Z, Herring PK, Aykol M, Harris SJ, Braatz RD, Ermon S, et al. Closed-loop optimization of fast-charging protocols for batteries with machine learning. Nature. 578: 397-402. PMID 32076218 DOI: 10.1038/S41586-020-1994-5  0.339
2019 Gomes C, Dietterich T, Barrett C, Conrad J, Dilkina B, Ermon S, Fang F, Farnsworth A, Fern A, Fern X, Fink D, Fisher D, Flecker A, Freund D, Fuller A, et al. Computational sustainability Communications of the Acm. 62: 56-65. DOI: 10.1145/3339399  0.644
2019 Grover A, Achim T, Ermon S. Streamlining variational inference for constraint satisfaction problems Journal of Statistical Mechanics: Theory and Experiment. 2019: 124006. DOI: 10.1088/1742-5468/Ab371F  0.385
2018 Ren H, Stewart R, Song J, Kuleshov V, Ermon S. Learning with Weak Supervision from Physics and Data-Driven Constraints Ai Magazine. 39: 27-38. DOI: 10.1609/Aimag.V39I1.2776  0.373
2018 Wang AX, Tran C, Desai N, Lobell D, Ermon S. Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data The Compass. 50. DOI: 10.1145/3209811.3212707  0.327
2018 Zhong H, Li X, Lobell D, Ermon S, Brandeau ML. Hierarchical modeling of seed variety yields and decision making for future planting plans Environment Systems and Decisions. 38: 458-470. DOI: 10.1007/S10669-018-9695-4  0.308
2017 Yousefi S, Narui H, Dayal S, Ermon S, Valaee S. A Survey on Behavior Recognition Using WiFi Channel State Information Ieee Communications Magazine. 55: 98-104. DOI: 10.1109/Mcom.2017.1700082  0.325
2016 Duan X, Yang F, Antono E, Yang W, Pianetta P, Ermon S, Mehta A, Liu Y. Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB Magnet. Scientific Reports. 6: 34406. PMID 27680388 DOI: 10.1038/Srep34406  0.314
2016 Jean N, Burke M, Xie M, Davis WM, Lobell DB, Ermon S. Combining satellite imagery and machine learning to predict poverty. Science (New York, N.Y.). 353: 790-4. PMID 27540167 DOI: 10.1126/Science.Aaf7894  0.341
2015 Ermon S, Le Bras R, Suram SK, Gregoire JM, Gomes CP, Selman B, Van Dover RB. Pattern decomposition with complex combinatorial constraints: Application to materials discovery Proceedings of the National Conference On Artificial Intelligence. 1: 636-643.  0.569
2015 Ermon S, Xue Y, Toth R, Dilkina B, Bernstein R, Damoulas T, Clark P, DeGloria S, Mude A, Barrett C, Gomes CP. Learning large-scale dynamic discrete choice models of spatio-temporal preferences with application to migratory pastoralism in east Africa Proceedings of the National Conference On Artificial Intelligence. 1: 644-650.  0.684
2015 Xue Y, Ermon S, Gomes CP, Selman B. Uncovering hidden structure through parallel problem decomposition for the set basis problem: Application to materials discovery Ijcai International Joint Conference On Artificial Intelligence. 2015: 146-155.  0.581
2014 Ermon S, Gomes CP, Sabharwal A, Selman B. Designing fast absorbing Markov chains Proceedings of the National Conference On Artificial Intelligence. 2: 849-855.  0.55
2014 Ermon S, Gomes CP, Sabharwal A, Selman B. Low-density parity constraints for hashing-based discrete integration 31st International Conference On Machine Learning, Icml 2014. 1: 452-462.  0.585
2013 Ermon S, Xue Y, Gomes C, Selman B. Learning policies for battery usage optimization in electric vehicles Machine Learning. 92: 177-194. DOI: 10.1007/S10994-013-5378-Z  0.605
2013 Ermon S, Gomes CP, Sabharwal A, Selman B. Optimization with parity constraints: From binary codes to discrete integration Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 202-211.  0.565
2013 Ermon S, Gomes CP, Sabharwal A, Selman B. Taming the curse of dimensionality: Discrete integration by hashing and optimization 30th International Conference On Machine Learning, Icml 2013. 993-1001.  0.59
2013 Ermon S, Gomes CP, Sabharwal A, Selman B. Embed and project: Discrete sampling with universal hashing Advances in Neural Information Processing Systems.  0.538
2012 Ermon S. A statistical mechanics approach to trust management in autonomic networks International Journal of Systems, Control and Communications. 4: 37-54. DOI: 10.1504/Ijscc.2012.045930  0.386
2012 Ermon S, Le Bras R, Gomes CP, Selman B, Van Dover RB. SMT-aided combinatorial materials discovery Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7317: 172-185. DOI: 10.1007/978-3-642-31612-8_14  0.516
2012 Ermon S, Gomes CP, Sabharwal A, Selman B. Density Propagation and improved bounds on the partition function Advances in Neural Information Processing Systems. 4: 2762-2770.  0.545
2012 Ermon S, Gomes C, Selman B, Vladimirsky A. Probabilistic planning with non-linear utility functions and worst-case guarantees 11th International Conference On Autonomous Agents and Multiagent Systems 2012, Aamas 2012: Innovative Applications Track. 1: 192-199.  0.319
2011 Ermon S, Gomes C, Selman B. A flat histogram method for computing the density of states of combinatorial problems Ijcai International Joint Conference On Artificial Intelligence. 2608-2613. DOI: 10.5591/978-1-57735-516-8/IJCAI11-434  0.599
2011 Ermon S, Conrad J, Gomes C, Selman B. Risk-sensitive policies for sustainable renewable resource allocation Ijcai International Joint Conference On Artificial Intelligence. 1942-1948. DOI: 10.5591/978-1-57735-516-8/IJCAI11-325  0.54
2011 Ermon S, Gomes CP, Sabharwal A, Selman B. Accelerated Adaptive Markov Chain for partition function computation Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011.  0.51
2010 Ermon S, Gomes CP, Selman B. Computing the density of states of boolean formulas Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6308: 38-52. DOI: 10.1007/978-3-642-15396-9_6  0.562
2010 Ermon S, Conrad J, Gomes C, Selman B. Playing games against nature: Optimal policies for renewable resource allocation Proceedings of the 26th Conference On Uncertainty in Artificial Intelligence, Uai 2010. 168-176.  0.35
2009 Ermon S. Trust Estimation in autonomic networks: A message passing approach Ifac Proceedings Volumes (Ifac-Papersonline). 1: 192-197. DOI: 10.3182/20090924-3-It-4005.00033  0.373
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