Learning Optimal Flows for Non-Equilibrium Importance Sampling

von Cao, Yu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 17 of 50 (2023)

Continuous-time random walks for the numerical solution of stochastic differential equations

von Bou-Rabee, Nawaf
Veröffentlicht 2018

Continuous-time random walks for the numerical solution of stochastic differential equations

von Bou-Rabee, Nawaf
Veröffentlicht 2018

Applied stochastic analysis

von E, Weinan
Veröffentlicht 2019

OPTIMIZATION AND GENERALIZATION OF SHALLOW NEURAL NETWORKS WITH QUADRATIC ACTIVATION FUNCTIONS

von Mannelli, Stefano Sarao
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 17 of 27 (2021)

A DYNAMICAL CENTRAL LIMIT THEOREM FOR SHALLOW NEURAL NETWORKS

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

Continuous-time random walks for the numerical solution of stochastic differential equations

von Bou-Rabee, Nawaf
Veröffentlicht 2018

Learning sparse features can lead to overfitting in neural networks

von Petrini, Leonardo
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 13 of 50 (2023)

ON ENERGY-BASED MODELS WITH OVERPARAMETRIZED SHALLOW NEURAL NETWORKS

von DOMINGO-ENRICH, CARLES
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 4 of 16 (2022)