A FAULT-TOLERANT CONTROL STRATEGY FOR SIX-PHASE PMLG IN DIRECT-DRIVE WAVE ENERGY CONVERSION SYSTEM

von Huang, Lei
Veröffentlicht in International Conference on Renewable Power Generation (8. : 2019 : Schanghai) 8th International Conference on Renewable Power Generation (RPG 2019) ; Volume 3 of 4 (2020)

EFFICIENT APPROXIMATION OF DEEP RELU NETWORKS FOR FUNCTIONS ON LOW DIMENSIONAL MANIFOLDS

von Chen, Minshuo
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

BESOV FUNCTION APPROXIMATION AND BINARY CLASSIFICATION ON LOW-DIMENSIONAL MANIFOLDS USING CONVOLUTIONAL RESIDUAL NETWORKS

von LIU, HAO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 9 of 16 (2022)

On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds

von Dahal, Biraj
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 14 of 50 (2023)

TOWARDS UNDERSTANDING THE IMPORTANCE OF SHORTCUT CONNECTIONS IN RESIDUAL NETWORKS

von Liu, Tianyi
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL

von Chen, Minshuo
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 22 of 36 (2022)

Benefits of Overparameterized Convolutional Residual Networks: Function Approximation Under Smoothness Constraint

von Liu, Hao
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 17 of 33 (2023)

TOWARDS UNDERSTANDING HIERARCHICAL LEARNING: BENEFITS OF NEURAL REPRESETATIONS

von Chen, Minshuo
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 27 of 27 (2021)

DIFFERENTIABLE TOP-K WITH OPTIMAL TRANSPORT

von Xie, Yujia
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 25 of 27 (2021)

HOW IMPORTANT IS THE TRAIN-VALIDATION SPLIT IN META-LEARNING?

von BAI, YU
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 1 of 16 (2022)