Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

29 November 2018

Francesco Locatello

Stefan Bauer

Olivier Bachem

Papers citing "Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations"

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Title
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL Zhikun Tao Gang Xiong He Fang Zhen Shen Yunjun Han Qing-Shan Jia OffRL 34 0 0 13 May 2025
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Miguel Arana-Catania Weisi Guo CML 30 0 0 13 May 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Ruichu Cai Kaitao Zheng Junxian Huang Zijian Li Zhengming Chen Boyan Xu Zhifeng Hao AI4TS CML 31 0 0 12 May 2025
OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging Sifan Song Siyeop Yoon Pengfei Jin Sekeun Kim Matthew Tivnan ... Zhiliang Lyu Dufan Wu Ning Guo Xiang Li Quanzheng Li OOD ViT 64 0 0 08 May 2025
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i Kola Ayonrinde Louis Jaburi MILM 88 1 0 01 May 2025
Causal Disentanglement for Robust Long-tail Medical Image Generation Weizhi Nie Zichun Zhang Weijie Wang Bruno Lepri Anan Liu Nicu Seb DiffM MedIm OOD CML 53 0 0 20 Apr 2025
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning Yichao Cai Yuhang Liu Erdun Gao Tianjiao Jiang Zhen Zhang Anton van den Hengel Javen Qinfeng Shi 62 0 0 14 Apr 2025
Representational Similarity via Interpretable Visual Concepts Neehar Kondapaneni Oisin Mac Aodha Pietro Perona DRL 210 0 0 19 Mar 2025
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks Devon Jarvis Richard Klein Benjamin Rosman Andrew M. Saxe MLT 66 1 0 08 Mar 2025
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems Tadahiro Taniguchi Yasushi Hirai Masahiro Suzuki Shingo Murata Takato Horii Kazutoshi Tanaka AI4CE 64 0 0 08 Mar 2025
Learning Actionable World Models for Industrial Process Control Peng Yan Ahmed Abdulkadir Gerrit A. Schatte Giulia Anguzzi Joonsu Gha Nikola Pascher Matthias Rosenthal Yunlong Gao Benjamin Grewe Thilo Stadelmann DRL AI4CE 49 0 0 03 Mar 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System Juan L. Gamella Simon Bing Jakob Runge CML 57 0 0 27 Feb 2025
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal Transportability Mingwei Deng Ville Kyrki Dominik Baumann 43 0 0 27 Feb 2025
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning Angel Villar-Corrales Sven Behnke 85 3 0 11 Feb 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 81 0 0 07 Feb 2025
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement Chengrui Li Yunmiao Wang Yule Wang Weihan Li Dieter Jaeger Anqi Wu CoGe DRL 78 0 0 04 Feb 2025
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies C. Ciușdel Alex Serban Tiziano Passerini CoGe 76 1 0 03 Feb 2025
Compositional Generalization Requires More Than Disentangled Representations Qiyao Liang Daoyuan Qian Liu Ziyin Ila Fiete DRL OCL CoGe 136 0 0 30 Jan 2025
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM Minkyu Jeon Rishwanth Raghu Miro A. Astore Geoffrey Woollard Ryan Feathers Alkin Kaz Sonya M. Hanson Pilar Cossio Ellen D. Zhong 47 7 0 17 Jan 2025
ResiDual Transformer Alignment with Spectral Decomposition Lorenzo Basile Valentino Maiorca Luca Bortolussi Emanuele Rodolà Francesco Locatello 48 1 0 31 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
Your Image is Secretly the Last Frame of a Pseudo Video Wenlong Chen Wenlin Chen Lapo Rastrelli Yingzhen Li DiffM VGen 34 0 0 26 Oct 2024
Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin Ullrich Köthe DRL 23 0 0 25 Oct 2024
Analyzing (In)Abilities of SAEs via Formal Languages Abhinav Menon Manish Shrivastava David M. Krueger Ekdeep Singh Lubana 50 7 0 15 Oct 2024
Next state prediction gives rise to entangled, yet compositional representations of objects Tankred Saanum Luca M. Schulze Buschoff Peter Dayan Eric Schulz OCL CoGe OOD 32 1 0 07 Oct 2024
Disentanglement with Factor Quantized Variational Autoencoders Gulcin Baykal M. Kandemir Gözde B. Ünal CoGe DRL 39 0 0 23 Sep 2024
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models Baao Xie Qiuyu Chen Yunnan Wang Zequn Zhang Xin Jin Wenjun Zeng OffRL 43 2 0 26 Jul 2024
Linear causal disentanglement via higher-order cumulants Paula Leyes Carreno Chiara Meroni A. Seigal CML 36 0 0 05 Jul 2024
Fine-Grained Domain Generalization with Feature Structuralization Wenlong Yu Dongyue Chen Qilong Wang Qinghua Hu 36 0 0 13 Jun 2024
Representations as Language: An Information-Theoretic Framework for Interpretability Henry Conklin Kenny Smith MILM 42 1 0 04 Jun 2024
Sparsity regularization via tree-structured environments for disentangled representations Elliot Layne Jason S. Hartford Sébastien Lachapelle Mathieu Blanchette Dhanya Sridhar OOD CML 33 0 0 30 May 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 51 0 0 27 May 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 73 5 0 26 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Zeen Song Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Wenwen Qiang CML BDL VLM 45 0 0 24 May 2024
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 29 0 0 13 Mar 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 46 4 0 06 Mar 2024
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model Yihang She Clement Atzberger Andrew Blake Srinivasan Keshav 22 0 0 05 Mar 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 2024
Sound Source Separation Using Latent Variational Block-Wise Disentanglement Karim Helwani M. Togami Paris Smaragdis Michael M. Goodwin BDL DRL 26 1 0 08 Feb 2024
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder Heeseung Jung Jaehyoung Jeong Kangil Kim CoGe 34 0 0 17 Jan 2024
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization Sebastian Dziadzio cCaugatay Yildiz Gido M. van de Ven Tomasz Trzciñski Tinne Tuytelaars Matthias Bethge 27 1 0 27 Dec 2023
Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising Sourabrata Mukherjee Zdeněk Kasner Ondrej Dusek DiffM 16 11 0 22 Dec 2023
Towards Equipping Transformer with the Ability of Systematic Compositionality Chen Huang Peixin Qin Wenqiang Lei Jiancheng Lv 27 1 0 12 Dec 2023
Predictive variational autoencoder for learning robust representations of time-series data Julia Huiming Wang Dexter Tsin Tatiana Engel CML OOD AI4TS 32 2 0 12 Dec 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 37 4 0 13 Nov 2023
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 25 9 0 08 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 37 4 0 08 Nov 2023
Learning Disentangled Speech Representations Yusuf Brima U. Krumnack Simone Pika Gunther Heidemann CoGe DRL 37 3 0 04 Nov 2023
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation Hangtong Xu Yuanbo Xu Yongjian Yang Fuzhen Zhuang CML 77 0 0 02 Nov 2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 33 9 0 24 Oct 2023