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On the Identifiability of Switching Dynamical Systems

25 May 2023

Carles Balsells-Rodas

Yixin Wang

Yingzhen Li

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Papers citing "On the Identifiability of Switching Dynamical Systems"

32 / 32 papers shown

Title
Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies Sébastien Lachapelle Pau Rodríguez López Yash Sharma Katie Everett Rémi Le Priol Alexandre Lacoste Simon Lacoste-Julien 42 20 0 10 Jan 2024
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 66 31 0 16 Jun 2023
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise Wenbo Gong Joel Jennings Chen Zhang Nick Pawlowski AI4TS CML 60 26 0 26 Oct 2022
Temporally Disentangled Representation Learning Weiran Yao Guangyi Chen Kun Zhang CML BDL OOD 59 51 0 24 Oct 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 91 52 0 20 Jun 2022
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 65 31 0 13 Jun 2022
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 217 1,821 0 31 Oct 2021
Deep Explicit Duration Switching Models for Time Series Abdul Fatir Ansari Konstantinos Benidis Richard Kurle Ali Caner Turkmen Harold Soh Alex Smola Yuyang Wang Tim Januschowski BDL 84 20 0 26 Oct 2021
Learning Temporally Causal Latent Processes from General Temporal Data Weiran Yao Yuewen Sun Alex Ho Changyin Sun Kun Zhang BDL CML 91 87 0 11 Oct 2021
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA Sébastien Lachapelle Pau Rodríguez López Yash Sharma Katie Everett Rémi Le Priol Alexandre Lacoste Simon Lacoste-Julien CML OOD 90 140 0 21 Jul 2021
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA Hermanni Hälvä Sylvain Le Corff Luc Lehéricy Jonathan So Yongjie Zhu Elisabeth Gassiat Aapo Hyvarinen CML 60 65 0 17 Jun 2021
Clockwork Variational Autoencoders Vaibhav Saxena Jimmy Ba Danijar Hafner VGen DRL 63 49 0 18 Feb 2021
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding David A. Klindt Lukas Schott Yash Sharma Ivan Ustyuzhaninov Wieland Brendel Matthias Bethge Dylan M. Paiton CML 112 134 0 21 Jul 2020
Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series Hermanni Hälvä Aapo Hyvarinen OOD BDL CML 62 79 0 22 Jun 2020
Independent Innovation Analysis for Nonlinear Vector Autoregressive Process H. Morioka Hermanni Hälvä Aapo Hyvarinen 101 22 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 510 10,591 0 17 Feb 2020
DYNOTEARS: Structure Learning from Time-Series Data Roxana Pamfil Nisara Sriwattanaworachai Shaan Desai Philip Pilgerstorfer Paul Beaumont K. Georgatzis Bryon Aragam CML AI4TS BDL 77 192 0 02 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 544 42,591 0 03 Dec 2019
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems Zhe Dong Bryan Seybold Kevin Patrick Murphy Hung Bui BDL 78 31 0 21 Oct 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 71 597 0 10 Jul 2019
AMASS: Archive of Motion Capture as Surface Shapes Naureen Mahmood N. Ghorbani N. Troje Gerard Pons-Moll Michael J. Black 3DH 48 1,259 0 05 Apr 2019
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning Aapo Hyvarinen Hiroaki Sasaki Richard Turner OOD CML 97 331 0 22 May 2018
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 71 271 0 08 Mar 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 102 949 0 04 Mar 2018
Stochastic Variational Video Prediction Mohammad Babaeizadeh Chelsea Finn D. Erhan R. Campbell Sergey Levine DRL VGen 84 543 0 30 Oct 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 76 284 0 16 Oct 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 240 210 0 25 May 2017
Recurrent switching linear dynamical systems Scott W. Linderman Andrew C. Miller Ryan P. Adams David M. Blei Liam Paninski Matthew J. Johnson 107 72 0 26 Oct 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 92 485 0 20 Mar 2016
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 107 1,262 0 07 Jun 2015
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 259 6,786 0 03 Sep 2014
Identifiability of parameters in latent structure models with many observed variables E. Allman C. Matias J. Rhodes CML 159 534 0 29 Sep 2008