Black-box Variational Inference for Stochastic Differential Equations

Black-box Variational Inference for Stochastic Differential Equations

9 February 2018

Andrew Golightly

Papers citing "Black-box Variational Inference for Stochastic Differential Equations"

13 / 13 papers shown

Title
Deep Kalman Filters Can Filter Blanka Hovart Anastasis Kratsios Yannick Limmer Xuwei Yang 53 1 0 31 Dec 2024
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations Jongwan Kim Dongjin Lee Byunggook Na Seongsik Park Jeonghee Jo Sung-Hoon Yoon 37 0 0 15 Jun 2022
An end-to-end deep learning approach for extracting stochastic dynamical systems with $α$ -stable Lévy noise Cheng Fang Yubin Lu Ting Gao Jinqiao Duan 55 16 0 31 Jan 2022
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
Stochastic Latent Residual Video Prediction Jean-Yves Franceschi E. Delasalles Mickaël Chen Sylvain Lamprier Patrick Gallinari VGen 26 159 0 21 Feb 2020
Considering discrepancy when calibrating a mechanistic electrophysiology model Chon Lok Lei Sanmitra Ghosh Dominic G. Whittaker Y. Aboelkassem K. Beattie ... R. W. dos Santos J. Walmsley Keith Worden Gary R. Mirams Richard D. Wilkinson 20 48 0 13 Jan 2020
Scalable Gradients for Stochastic Differential Equations Xuechen Li Ting-Kam Leonard Wong Ricky T. Q. Chen David Duvenaud 17 310 0 05 Jan 2020
The Neural Moving Average Model for Scalable Variational Inference of State Space Models Tom Ryder D. Prangle Andrew Golightly Isaac Matthews BDL AI4TS 16 6 0 02 Oct 2019
Black-Box Inference for Non-Linear Latent Force Models W. Ward Tom Ryder D. Prangle Mauricio A. Alvarez DRL 18 14 0 21 Jun 2019
Neural Jump Stochastic Differential Equations Junteng Jia Austin R. Benson BDL 20 222 0 24 May 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions Belinda Tzen Maxim Raginsky DiffM 17 99 0 05 Mar 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 101 4,954 0 19 Jun 2018