Neural State-Space Modeling with Latent Causal-Effect Disentanglement

Neural State-Space Modeling with Latent Causal-Effect Disentanglement

26 September 2022

Maryam Toloubidokhti

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Papers citing "Neural State-Space Modeling with Latent Causal-Effect Disentanglement"

14 / 14 papers shown

Title
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting Longyuan Li Junchi Yan Xiaokang Yang Yaohui Jin OOD BDL AI4TS 92 63 0 31 Jan 2021
Neural Ordinary Differential Equations for Intervention Modeling Daehoon Gwak Gyuhyeon Sim Michael Poli Stefano Massaroli Jaegul Choo Edward Choi 57 20 0 16 Oct 2020
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin Vincent Le Guen Jérémie Donà Emmanuel de Bézenac Ibrahim Ayed Nicolas Thome Patrick Gallinari AI4CE PINN 80 135 0 09 Oct 2020
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction Xiajun Jiang S. Ghimire Jwala Dhamala Zhiyuan Li P. Gyawali Linwei Wang AI4CE 27 8 0 18 Jul 2020
Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova Ricky T. Q. Chen David Duvenaud BDL AI4TS 91 260 0 08 Jul 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 96 301 0 29 May 2019
ODE $^2$ VAE: Deep generative second order ODEs with Bayesian neural networks Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL DRL 79 88 0 27 May 2019
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential S. Ghimire Jwala Dhamala P. Gyawali J. Sapp M. Horacek Linwei Wang MedIm 43 25 0 12 May 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 450 5,168 0 19 Jun 2018
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 94 284 0 16 Oct 2017
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl Maximilian Sölch Justin Bayer Patrick van der Smagt BDL 57 375 0 20 May 2016
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 77 374 0 16 Nov 2015
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 233 2,540 0 03 Jun 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014

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