Jerry Yao-Chieh Hu
According to our database1,
Jerry Yao-Chieh Hu
authored at least 24 papers
between 2023 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2023
2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality.
CoRR, 2024
Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Training.
CoRR, 2024
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency.
CoRR, 2024
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs).
CoRR, 2024
CoRR, 2024
CoRR, 2024
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs).
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023