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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
120962016
Decision transformer: Reinforcement learning via sequence modeling
L Chen, K Lu, A Rajeswaran, K Lee, A Grover, M Laskin, P Abbeel, ...
Advances in neural information processing systems 34, 15084-15097, 2021
12992021
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
6862020
Graphite: Iterative generative modeling of graphs
A Grover, A Zweig, S Ermon
Proceedings of the 36th International Conference on Machine Learning, 2434-2444, 2019
3252019
A deep hybrid model for weather forecasting
A Grover, A Kapoor, E Horvitz
Proceedings of the 21st ACM SIGKDD International Conference on Knowledge …, 2015
2952015
Pretrained transformers as universal computation engines
K Lu, A Grover, P Abbeel, I Mordatch
AAAI Conference on Artificial Intelligence, 2022
2772022
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
A Grover, M Dhar, S Ermon
AAAI Conference on Artificial Intelligence, 2018
2212018
Learning controllable fair representations
J Song, P Kalluri, A Grover, S Zhao, S Ermon
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
1912019
Online decision transformer
Q Zheng, A Zhang, A Grover
International Conference on Machine Learning, 2022
1872022
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
1842020
Climax: A foundation model for weather and climate
T Nguyen, J Brandstetter, A Kapoor, JK Gupta, A Grover
arXiv preprint arXiv:2301.10343, 2023
171*2023
Stochastic optimization of sorting networks via continuous relaxations
A Grover, E Wang, A Zweig, S Ermon
International Conference on Learning Representations, 2019
1572019
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
1322019
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
131*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
127*2019
Fair generative modeling via weak supervision
K Choi, A Grover, T Singh, R Shu, S Ermon
International Conference on Machine Learning, 1887-1898, 2020
119*2020
Cyclip: Cyclic contrastive language-image pretraining
S Goel, H Bansal, S Bhatia, R Rossi, V Vinay, A Grover
Advances in Neural Information Processing Systems 35, 6704-6719, 2022
1062022
Frame averaging for invariant and equivariant network design
O Puny, M Atzmon, H Ben-Hamu, EJ Smith, I Misra, A Grover, Y Lipman
International Conference on Learning Representations, 2022
912022
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
812018
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
T Nguyen, A Grover
International Conference on Machine Learning, 2022
792022
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