Infinitely deep neural networks as diffusion processes

27 May 2019

Papers citing "Infinitely deep neural networks as diffusion processes"

11 / 11 papers shown

Title
Clustering in pure-attention hardmax transformers and its role in sentiment analysis Albert Alcalde Giovanni Fantuzzi Enrique Zuazua 40 3 0 26 Jun 2024
Width and Depth Limits Commute in Residual Networks Soufiane Hayou Greg Yang 50 14 0 01 Feb 2023
Asymptotic Analysis of Deep Residual Networks R. Cont Alain Rossier Renyuan Xu 27 4 0 15 Dec 2022
Nonlinear controllability and function representation by neural stochastic differential equations Tanya Veeravalli Maxim Raginsky DiffM 32 2 0 01 Dec 2022
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations Simon Koop M. Peletier J. Portegies Vlado Menkovski DiffM 35 1 0 17 Nov 2022
Scaling ResNets in the Large-depth Regime Pierre Marion Adeline Fermanian Gérard Biau Jean-Philippe Vert 26 16 0 14 Jun 2022
Scaling Properties of Deep Residual Networks A. Cohen R. Cont Alain Rossier Renyuan Xu 30 18 0 25 May 2021
Posterior contraction for deep Gaussian process priors G. Finocchio Johannes Schmidt-Hieber 37 11 0 16 May 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu Ricky T. Q. Chen Xuechen Li David Duvenaud BDL UQCV 27 46 0 12 Feb 2021
Learning Continuous-Time Dynamics by Stochastic Differential Networks Yingru Liu Yucheng Xing Xuewen Yang Xin Wang Jing Shi Di Jin Zhaoyue Chen BDL 26 6 0 11 Jun 2020
Neural Jump Stochastic Differential Equations Junteng Jia Austin R. Benson BDL 20 222 0 24 May 2019