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Aditya Grover
Aditya Grover
Assistant Professor of Computer Science, UCLA
cs.ucla.edu의 이메일 확인됨 - 홈페이지
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node2vec: Scalable feature learning for networks
A Grover, J Leskovec
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016
104462016
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
6992021
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
5212020
Graphite: Iterative generative modeling of graphs
A Grover, A Zweig, S Ermon
Proceedings of the 36th International Conference on Machine Learning, 2434-2444, 2019
2822019
A deep hybrid model for weather forecasting
A Grover, A Kapoor, E Horvitz
Proceedings of the 21st ACM SIGKDD International Conference on Knowledge …, 2015
2662015
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
A Grover, M Dhar, S Ermon
AAAI Conference on Artificial Intelligence, 2018
197*2018
Pretrained transformers as universal computation engines
K Lu, A Grover, P Abbeel, I Mordatch
AAAI Conference on Artificial Intelligence, 2022
1932022
Learning controllable fair representations
J Song, P Kalluri, A Grover, S Zhao, S Ermon
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
1592019
Stochastic optimization of sorting networks via continuous relaxations
A Grover, E Wang, A Zweig, S Ermon
International Conference on Learning Representations, 2019
1292019
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
1142019
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
1132018
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
107*2019
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
962020
Fair generative modeling via weak supervision
K Choi, A Grover, T Singh, R Shu, S Ermon
International Conference on Machine Learning, 1887-1898, 2020
95*2020
Online decision transformer
Q Zheng, A Zhang, A Grover
International Conference on Machine Learning, 2022
882022
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
652018
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
602020
Uncertainty autoencoders: Learning compressed representations via variational information maximization
A Grover, S Ermon
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
532019
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
522018
Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols
B Jiang, WE Gent, F Mohr, S Das, MD Berliner, M Forsuelo, H Zhao, ...
Joule 5 (12), 3187-3203, 2021
492021
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