Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

21 July 2020

Wieland Brendel

Papers citing "Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding"

50 / 93 papers shown

Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang Biwei Huang OffRL CML 27 0 0 13 May 2025
An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 38 0 0 17 Apr 2025
Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization Grace Guinan Addison Salvador Michelle A. Smeaton Andrew Glaws Hilary Egan Brian C. Wyatt Babak Anasori K. Fiedler M. Olszta Steven Spurgeon 65 0 0 25 Feb 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Biwei Huang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Kun Zhang CML 50 0 0 21 Jan 2025
Information Subtraction: Learning Representations for Conditional Entropy Keng Hou Leong Yuxuan Xiu Wai Kin Chan 36 0 0 02 Jan 2025
Learning Identifiable Factorized Causal Representations of Cellular Responses Haiyi Mao Romain Lopez Kai Liu Jan-Christian Huetter David Richmond Panayiotis Benos Lin Qiu CML 27 3 0 29 Oct 2024
Cross-Entropy Is All You Need To Invert the Data Generating Process Patrik Reizinger Alice Bizeul Attila Juhos Julia E. Vogt Randall Balestriero Wieland Brendel David Klindt SSL OOD BDL DRL 102 3 0 29 Oct 2024
Interpretable Representation Learning from Videos using Nonlinear Priors Marian Longa Joao F. Henriques CML DRL 24 0 0 24 Oct 2024
Analyzing (In)Abilities of SAEs via Formal Languages Abhinav Menon Manish Shrivastava David M. Krueger Ekdeep Singh Lubana 42 7 0 15 Oct 2024
Causal Representation Learning in Temporal Data via Single-Parent Decoding Philippe Brouillard Sébastien Lachapelle Julia Kaltenborn Yaniv Gurwicz Dhanya Sridhar Alexandre Drouin Peer Nowack Jakob Runge David Rolnick CML 32 3 0 09 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 29 0 0 07 Oct 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition Xiangchen Song Zijian Li Guangyi Chen Yujia Zheng Yewen Fan Xinshuai Dong Kun Zhang CML 23 2 0 05 Sep 2024
Compositional Image Decomposition with Diffusion Models Jocelin Su Nan Liu Yanbo Wang Joshua B. Tenenbaum Yilun Du CoGe 39 6 0 27 Jun 2024
Identifying latent state transition in non-linear dynamical systems Çağlar Hızlı Çağatay Yıldız Matthias Bethge ST John Pekka Marttinen OOD 18 0 0 05 Jun 2024
Sparsity regularization via tree-structured environments for disentangled representations Elliot Layne Jason S. Hartford Sébastien Lachapelle Mathieu Blanchette Dhanya Sridhar OOD CML 28 0 0 30 May 2024
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding Hiroaki Sasaki CML 20 0 0 30 May 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence Zijian Li Yifan Shen Kaitao Zheng Ruichu Cai Xiangchen Song Mingming Gong Zhengmao Zhu Guan-Hong Chen Kun Zhang CML 29 5 0 24 May 2024
Marrying Causal Representation Learning with Dynamical Systems for Science Dingling Yao Caroline Muller Francesco Locatello CML AI4CE 40 6 0 22 May 2024
Position: Understanding LLMs Requires More Than Statistical Generalization Patrik Reizinger Szilvia Ujváry Anna Mészáros A. Kerekes Wieland Brendel Ferenc Huszár 36 12 0 03 May 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 38 4 0 06 Mar 2024
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process Guan-Hong Chen Yifan Shen Zhenhao Chen Xiangchen Song Yuewen Sun Weiran Yao Xiao Liu Kun Zhang CML 24 7 0 25 Jan 2024
Predictive variational autoencoder for learning robust representations of time-series data Julia Huiming Wang Dexter Tsin Tatiana Engel CML OOD AI4TS 17 2 0 12 Dec 2023
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis Goutham Rajendran Patrik Reizinger Wieland Brendel Pradeep Ravikumar CML 32 8 0 29 Nov 2023
Identifiable Feature Learning for Spatial Data with Nonlinear ICA Hermanni Hälvä Jonathan So Richard E. Turner Aapo Hyvarinen CML 17 2 0 28 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 29 4 0 08 Nov 2023
Multi-View Causal Representation Learning with Partial Observability Dingling Yao Danru Xu Sébastien Lachapelle Sara Magliacane Perouz Taslakian Georg Martius Julius von Kügelgen Francesco Locatello CML 37 30 0 07 Nov 2023
Temporally Disentangled Representation Learning under Unknown Nonstationarity Xiangchen Song Weiran Yao Yewen Fan Xinshuai Dong Guan-Hong Chen Juan Carlos Niebles Eric P. Xing Kun Zhang CML OOD 31 12 0 28 Oct 2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 25 9 0 24 Oct 2023
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems David A. Klindt Sophia Sanborn Francisco Acosta Frédéric Poitevin Nina Miolane MILM FAtt 41 7 0 17 Oct 2023
Provable Compositional Generalization for Object-Centric Learning Thaddäus Wiedemer Jack Brady Alexander Panfilov Attila Juhos Matthias Bethge Wieland Brendel OCL 32 17 0 09 Oct 2023
Subspace Identification for Multi-Source Domain Adaptation Zijian Li Ruichu Cai Guan-Hong Chen Boyang Sun Z. Hao Kun Zhang 21 33 0 07 Oct 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 21 3 0 22 Sep 2023
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations Yuewei Yang Hai Helen Li Yiran Chen CML OOD 17 1 0 16 Aug 2023
Learning Disentangled Discrete Representations David Friede Christian Reimers Heiner Stuckenschmidt Mathias Niepert CoGe OCL OOD DRL 16 0 0 26 Jul 2023
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation Sébastien Lachapelle Divyat Mahajan Ioannis Mitliagkas Simon Lacoste-Julien 34 25 0 05 Jul 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 20 6 0 02 Jul 2023
On the Identifiability of Quantized Factors Vitória Barin Pacela Kartik Ahuja Simon Lacoste-Julien Pascal Vincent OOD CML 21 1 0 28 Jun 2023
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Lowe Yuki M. Asano Taco S. Cohen E. Gavves CML 41 28 0 16 Jun 2023
Learning World Models with Identifiable Factorization Yu-Ren Liu Biwei Huang Zhengmao Zhu Hong Tian Mingming Gong Yang Yu Kun Zhang CML OffRL 20 12 0 11 Jun 2023
Partial Identifiability for Domain Adaptation Lingjing Kong Shaoan Xie Weiran Yao Yujia Zheng Guan-Hong Chen P. Stojanov Victor Akinwande Kun Zhang 40 8 0 10 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 18 56 0 01 Jun 2023
Disentanglement via Latent Quantization Kyle Hsu W. Dorrell James C. R. Whittington Jiajun Wu Chelsea Finn DRL 18 24 0 28 May 2023
On the Identifiability of Switching Dynamical Systems Carles Balsells-Rodas Yixin Wang Yingzhen Li 30 4 0 25 May 2023
Provably Learning Object-Centric Representations Jack Brady Roland S. Zimmermann Yash Sharma Bernhard Schölkopf Julius von Kügelgen Wieland Brendel OCL 31 31 0 23 May 2023
Latent Processes Identification From Multi-View Time Series Zenan Huang Haobo Wang J. Zhao Nenggan Zheng AI4TS 11 4 0 14 May 2023
Correcting Flaws in Common Disentanglement Metrics Louis Mahon Lei Shah Thomas Lukasiewicz CoGe DRL 27 3 0 05 Apr 2023
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning Aapo Hyvarinen Ilyes Khemakhem H. Morioka CML OOD 25 34 0 29 Mar 2023
Identifiability Results for Multimodal Contrastive Learning Imant Daunhawer Alice Bizeul Emanuele Palumbo Alexander Marx Julia E. Vogt 22 38 0 16 Mar 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear Aapo Hyvarinen Ilyes Khemakhem R. Monti CML 30 41 0 06 Feb 2023
Learning Interpretable Low-dimensional Representation via Physical Symmetry Xuanjie Liu Daniel Y. Chin Yichen Huang Gus Xia 16 3 0 05 Feb 2023