Aditya Grover
Aditya Grover
Ph.D. Candidate in Computer Science, Stanford University
Verified email at cs.stanford.edu - Homepage
TitleCited byYear
node2vec: Scalable feature learning for networks
A Grover, J Leskovec
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016
17432016
A deep hybrid model for weather forecasting
A Grover, A Kapoor, E Horvitz
Proceedings of the 21st ACM SIGKDD International Conference on Knowledge …, 2015
812015
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
A Grover, M Dhar, S Ermon
AAAI Conference on Artificial Intelligence, 2018
44*2018
Graphite: Iterative generative modeling of graphs
A Grover, A Zweig, S Ermon
arXiv preprint arXiv:1803.10459, 2018
242018
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
182015
Boosted generative models
A Grover, S Ermon
AAAI Conference on Artificial Intelligence, 2018
122018
Modeling sparse deviations for compressed sensing using generative models
M Dhar, A Grover, S Ermon
arXiv preprint arXiv:1807.01442, 2018
112018
Learning policy representations in multiagent systems
A Grover, M Al-Shedivat, JK Gupta, Y Burda, H Edwards
arXiv preprint arXiv:1806.06464, 2018
72018
Contextual Symmetries in Probabilistic Graphical Models
A Anand, A Grover, Mausam, P Singla
Proceedings of the 25th International Joint Conference on Artificial …, 2016
72016
Learning controllable fair representations
J Song, P Kalluri, A Grover, S Zhao, S Ermon
arXiv preprint arXiv:1812.04218, 2018
62018
Variational Rejection Sampling
A Grover, R Gummadi, M Lazaro-Gredilla, D Schuurmans, S Ermon
arXiv preprint arXiv:1804.01712, 2018
62018
Uncertainty autoencoders: Learning compressed representations via variational information maximization
A Grover, S Ermon
arXiv preprint arXiv:1812.10539, 2018
52018
Stochastic optimization of sorting networks via continuous relaxations
A Grover, E Wang, A Zweig, S Ermon
arXiv preprint arXiv:1903.08850, 2019
42019
Variational bayes on Monte Carlo steroids
A Grover, S Ermon
Advances in Neural Information Processing Systems, 3018-3026, 2016
42016
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, ...
arXiv preprint arXiv:1803.10937, 2018
32018
A Novel Abstraction Framework for Online Planning: Extended Abstract
A Anand, A Grover, PS Mausam
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
32015
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
22018
Streamlining variational inference for constraint satisfaction problems
A Grover, T Achim, S Ermon
Advances in Neural Information Processing Systems, 10556-10566, 2018
12018
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
arXiv preprint arXiv:1906.09531, 2019
2019
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
A Grover, C Chute, R Shu, Z Cao, S Ermon
arXiv preprint arXiv:1905.12892, 2019
2019
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