Aditya Grover
Aditya Grover
Ph.D. Candidate in Computer Science, Stanford University
確認したメール アドレス: cs.stanford.edu - ホームページ
タイトル
引用先
引用先
node2vec: Scalable feature learning for networks
A Grover, J Leskovec
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016
34322016
A deep hybrid model for weather forecasting
A Grover, A Kapoor, E Horvitz
Proceedings of the 21st ACM SIGKDD International Conference on Knowledge …, 2015
1182015
Graphite: Iterative generative modeling of graphs
A Grover, A Zweig, S Ermon
Proceedings of the 36th International Conference on Machine Learning, 2434-2444, 2019
852019
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
A Grover, M Dhar, S Ermon
AAAI Conference on Artificial Intelligence, 2018
73*2018
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
34*2018
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
28*2015
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
272018
Learning controllable fair representations
J Song, P Kalluri, A Grover, S Zhao, S Ermon
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
232019
Boosted generative models
A Grover, S Ermon
AAAI Conference on Artificial Intelligence, 2018
232018
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
22*2019
Stochastic optimization of sorting networks via continuous relaxations
A Grover, E Wang, A Zweig, S Ermon
International Conference on Learning Representations, 2019
202019
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
202019
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
162020
Uncertainty autoencoders: Learning compressed representations via variational information maximization
A Grover, S Ermon
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
16*2019
Contextual Symmetries in Probabilistic Graphical Models
A Anand, A Grover, Mausam, P Singla
Proceedings of the 25th International Joint Conference on Artificial …, 2016
15*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
142018
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
122018
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
8*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
5*2020
Variational bayes on Monte Carlo steroids
A Grover, S Ermon
Advances in Neural Information Processing Systems, 3018-3026, 2016
42016
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–20