| node2vec: Scalable feature learning for networks A Grover, J Leskovec Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016 | 4547 | 2016 |
| A deep hybrid model for weather forecasting A Grover, A Kapoor, E Horvitz Proceedings of the 21st ACM SIGKDD International Conference on Knowledge …, 2015 | 149 | 2015 |
| Graphite: Iterative generative modeling of graphs A Grover, A Zweig, S Ermon Proceedings of the 36th International Conference on Machine Learning, 2434-2444, 2019 | 120 | 2019 |
| Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models A Grover, M Dhar, S Ermon AAAI Conference on Artificial Intelligence, 2018 | 99* | 2018 |
| Closed-loop optimization of fast-charging protocols for batteries with machine learning PM Attia, A Grover, N Jin, KA Severson, TM Markov, YH Liao, MH Chen, ... Nature 578 (7795), 397-402, 2020 | 71 | 2020 |
| Learning controllable fair representations J Song, P Kalluri, A Grover, S Zhao, S Ermon Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019 | 45 | 2019 |
| Learning policy representations in multiagent systems A Grover, M Al-Shedivat, JK Gupta, Y Burda, H Edwards Proceedings of the 35th International Conference on Machine Learning, 1802-1811, 2018 | 42 | 2018 |
| Neural joint source-channel coding K Choi, K Tatwawadi, A Grover, T Weissman, S Ermon Proceedings of the 36th International Conference on Machine Learning, 1182-1192, 2019 | 38* | 2019 |
| Stochastic optimization of sorting networks via continuous relaxations A Grover, E Wang, A Zweig, S Ermon International Conference on Learning Representations, 2019 | 35 | 2019 |
| Modeling sparse deviations for compressed sensing using generative models M Dhar, A Grover, S Ermon Proceedings of the 35th International Conference on Machine Learning, 1214-1223, 2018 | 34 | 2018 |
| Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting A Grover, J Song, A Agarwal, K Tran, A Kapoor, E Horvitz, S Ermon Advances in Neural Information Processing Systems, 11056--11068, 2019 | 29 | 2019 |
| ASAP-UCT: abstraction of state-action pairs in UCT A Anand, A Grover, M Mausam, P Singla Proceedings of the 24th International Joint Conference on Artificial …, 2015 | 29* | 2015 |
| Uncertainty autoencoders: Learning compressed representations via variational information maximization A Grover, S Ermon Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019 | 26 | 2019 |
| Boosted generative models A Grover, S Ermon AAAI Conference on Artificial Intelligence, 2018 | 25 | 2018 |
| Contextual Symmetries in Probabilistic Graphical Models A Anand, A Grover, Mausam, P Singla Proceedings of the 25th International Joint Conference on Artificial …, 2016 | 16* | 2016 |
| Variational Rejection Sampling A Grover, R Gummadi, M Lazaro-Gredilla, D Schuurmans, S Ermon Proceedings of the 21st International Conference on Artificial Intelligence …, 2018 | 15 | 2018 |
| Best arm identification in multi-armed bandits with delayed feedback A Grover, T Markov, P Attia, N Jin, N Perkins, B Cheong, M Chen, Z Yang, ... Proceedings of the 21st International Conference on Artificial Intelligence …, 2018 | 13 | 2018 |
| AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows A Grover, C Chute, R Shu, Z Cao, S Ermon AAAI Conference on Artificial Intelligence, 2020 | 12 | 2020 |
| Evaluating generalization in multiagent systems using agent-interaction graphs A Grover, M Al-Shedivat, JK Gupta, Y Burda, H Edwards Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 9* | 2018 |
| Fair Generative Modeling via Weak Supervision. A Grover, K Choi, R Shu, S Ermon | 8* | 2019 |
Stefano ErmonStanford UniversityVerified email at cs.stanford.edu
