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Shengjia Zhao
Shengjia Zhao
OpenAI
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Cited by
Cited by
Year
Gpt-4 technical report
OpenAI
arXiv preprint arXiv:2303.08774, 2023
3113*2023
InfoVAE: Balancing Learning and Inference in Variational Autoencoders
S Zhao, J Song, S Ermon
Proceedings of the AAAI Conference on Artificial Intelligence, 2019
773*2019
Learning controllable fair representations
J Song, P Kalluri, A Grover, S Zhao, S Ermon
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
1952019
ChatGPT: Optimizing language models for dialogue
J Schulman, B Zoph, C Kim, J Hilton, J Menick, J Weng, JFC Uribe, ...
OpenAI blog 2 (4), 2022
1932022
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, 2020
1892020
Towards deeper understanding of variational autoencoding models
S Zhao, J Song, S Ermon
arXiv preprint arXiv:1702.08658, 2017
1882017
Learning hierarchical features from generative models
S Zhao, J Song, S Ermon
Proceedings of the 34th International Conference on Machine Learning, PMLR …, 2017
166*2017
A theory of usable information under computational constraints
Y Xu, S Zhao, J Song, R Stewart, S Ermon
International Conference on Learning Representations, 2019
1402019
Bias and generalization in deep generative models: An empirical study
S Zhao, H Ren, A Yuan, J Song, N Goodman, S Ermon
Proceedings of the 32nd International Conference on Neural Information …, 2018
1382018
Learning neural PDE solvers with convergence guarantees
JT Hsieh, S Zhao, S Eismann, L Mirabella, S Ermon
International Conference on Learning Representations, 2018
1352018
A-nice-mc: Adversarial training for mcmc
J Song, S Zhao, S Ermon
Proceedings of the 31st International Conference on Neural Information …, 2017
1322017
Amortized inference regularization
R Shu, HH Bui, S Zhao, MJ Kochenderfer, S Ermon
Proceedings of the 32nd International Conference on Neural Information …, 2018
1012018
The information autoencoding family: A lagrangian perspective on latent variable generative models
S Zhao, J Song, S Ermon
Proc. 34th Conference on Uncertainty in Artificial Intelligence, 2018
782018
Individual Calibration with Randomized Forecasting
S Zhao, T Ma, S Ermon
International Conference on Machine Learning, 2020
682020
Domain adaptive imitation learning
K Kim, Y Gu, J Song, S Zhao, S Ermon
International Conference on Machine Learning, 5286-5295, 2020
602020
Adaptive concentration inequalities for sequential decision problems
S Zhao, E Zhou, A Sabharwal, S Ermon
Advances in Neural Information Processing Systems 29, 2016
562016
Sample-efficient safety assurances using conformal prediction
R Luo, S Zhao, J Kuck, B Ivanovic, S Savarese, E Schmerling, M Pavone
International Workshop on the Algorithmic Foundations of Robotics, 149-169, 2022
512022
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
S Zhao, MP Kim, R Sahoo, T Ma, S Ermon
Proceedings of the 35th International Conference on Neural Information …, 2021
502021
Low-Degree Multicalibration
P Gopalan, MP Kim, M Singhal, S Zhao
2022 Conference on Learning Theory, 2022
362022
Introducing chatgpt
J Schulman, B Zoph, C Kim, J Hilton, J Menick, J Weng, JFC Uribe, ...
OpenAI Blog, 2022
332022
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