Aditya Grover
Aditya Grover
Assistant Professor of Computer Science, UCLA
Verified email at cs.ucla.edu - Homepage
Title
Cited by
Cited by
Year
node2vec: Scalable feature learning for networks
A Grover, J Leskovec
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016
61062016
A deep hybrid model for weather forecasting
A Grover, A Kapoor, E Horvitz
Proceedings of the 21st ACM SIGKDD International Conference on Knowledge …, 2015
1912015
Graphite: Iterative generative modeling of graphs
A Grover, A Zweig, S Ermon
Proceedings of the 36th International Conference on Machine Learning, 2434-2444, 2019
1742019
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
1522020
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
A Grover, M Dhar, S Ermon
AAAI Conference on Artificial Intelligence, 2018
128*2018
Learning controllable fair representations
J Song, P Kalluri, A Grover, S Zhao, S Ermon
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
762019
Stochastic optimization of sorting networks via continuous relaxations
A Grover, E Wang, A Zweig, S Ermon
International Conference on Learning Representations, 2019
612019
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
612018
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
572019
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
48*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
462018
Uncertainty autoencoders: Learning compressed representations via variational information maximization
A Grover, S Ermon
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
342019
Boosted generative models
A Grover, S Ermon
AAAI Conference on Artificial Intelligence, 2018
322018
Pretrained transformers as universal computation engines
K Lu, A Grover, P Abbeel, I Mordatch
arXiv preprint arXiv:2103.05247, 2021
302021
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
30*2015
Decision transformer: Reinforcement learning via sequence modeling
L Chen, K Lu, A Rajeswaran, K Lee, A Grover, M Laskin, P Abbeel, ...
arXiv preprint arXiv:2106.01345, 2021
292021
Fair Generative Modeling via Weak Supervision.
A Grover, K Choi, R Shu, S Ermon
26*2019
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
252018
Permutation invariant graph generation via score-based generative modeling
C Niu, Y Song, J Song, S Zhao, A Grover, S Ermon
International Conference on Artificial Intelligence and Statistics, 4474-4484, 2020
232020
Variational Rejection Sampling
A Grover, R Gummadi, M Lazaro-Gredilla, D Schuurmans, S Ermon
Proceedings of the 21st International Conference on Artificial Intelligence …, 2018
212018
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