v1v2 (latest)

Learning Deep Disentangled Embeddings with the F-Statistic Loss

14 February 2018

Papers citing "Learning Deep Disentangled Embeddings with the F-Statistic Loss"

50 / 140 papers shown

Title
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations Dingling Yao Shimeng Huang Riccardo Cadei Kun Zhang Francesco Locatello CML 159 0 0 23 May 2025
GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model -- Bringing Motion Generation to the Clinical Domain Vida Adeli Soroush Mehraban Majid Mirmehdi Alan Whone Benjamin Filtjens Amirhossein Dadashzadeh A. Fasano Andrea Iaboni Babak Taati 99 0 0 28 Mar 2025
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models Youngjun Jun Jiwoo Park Kyobin Choo Tae Eun Choi Seong Jae Hwang CoGe 119 0 0 31 Oct 2024
Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin Ullrich Köthe DRL 148 0 0 25 Oct 2024
PixLens: A Novel Framework for Disentangled Evaluation in Diffusion-Based Image Editing with Object Detection + SAM Stefan Stefanache Lluís Pastor Pérez Julen Costa Watanabe Ernesto Sanchez Tejedor Thomas Hofmann Enis Simsar EGVM 38 0 0 08 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 76 1 0 07 Oct 2024
Disentangled Representation Learning for Parametric Partial Differential Equations Ning Liu Lu Zhang Tian Gao Yue Yu DRL AI4CE 75 2 0 03 Oct 2024
Transferring disentangled representations: bridging the gap between synthetic and real images Jacopo Dapueto Nicoletta Noceti Francesca Odone OOD 113 0 0 26 Sep 2024
Defining and Measuring Disentanglement for non-Independent Factors of Variation Antonio Almudévar Alfonso Ortega Luis Vicente A. Miguel Eduardo Lleida CoGe DRL 75 1 0 13 Aug 2024
A Non-negative VAE:the Generalized Gamma Belief Network Zhibin Duan Tiansheng Wen Muyao Wang Bo Chen Mingyuan Zhou BDL 117 2 0 06 Aug 2024
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models Reza Abbasi M. Rohban M. Baghshah CoGe 83 8 0 08 Jul 2024
Measuring Orthogonality in Representations of Generative Models Robin Geyer Alessandro Torcinovich João B. S. Carvalho Alexander Meyer Joachim M. Buhmann CML 87 0 0 04 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 108 2 0 30 Jun 2024
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization Maxime Di Folco Cosmin I. Bercea Emily Chan Julia A. Schnabel 93 0 0 12 Jun 2024
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning Ruiqian Nai Zixin Wen Ji Li Yuanzhi Li Yang Gao 98 2 0 01 Mar 2024
Learning Disentangled Audio Representations through Controlled Synthesis Yusuf Brima U. Krumnack Simone Pika Gunther Heidemann 32 2 0 16 Feb 2024
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled Shengchao Liu Chengpeng Wang Jiarui Lu Weili Nie Hanchen Wang Zhuoxinran Li Bolei Zhou Jian Tang 114 3 0 29 Jan 2024
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry Xinzhe Luo Xin Wang Linda Shapiro Chun Yuan Jianfeng Feng Xiahai Zhuang 81 0 0 04 Jan 2024
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification Maxime Di Folco Cosmin I. Bercea Julia A. Schnabel 66 0 0 14 Dec 2023
Cross-domain feature disentanglement for interpretable modeling of tumor microenvironment impact on drug response Jia Zhai Hui Liu 42 0 0 15 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 92 4 0 08 Nov 2023
Improving SCGAN's Similarity Constraint and Learning a Better Disentangled Representation Iman Yazdanpanah Ali Eslamian DRL GAN 138 0 0 18 Oct 2023
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 113 3 0 02 Oct 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 130 3 0 22 Sep 2023
Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction Yusuf Brima U. Krumnack Simone Pika Gunther Heidemann SSL 87 0 0 07 Sep 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 152 3 0 24 Aug 2023
Learning Disentangled Discrete Representations David Friede Christian Reimers Heiner Stuckenschmidt Mathias Niepert CoGe OCL OOD DRL 84 0 0 26 Jul 2023
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains Maxime Di Folco Cosmin I. Bercea Julia A. Schnabel 71 0 0 24 Jul 2023
Disentanglement via Latent Quantization Kyle Hsu W. Dorrell James C. R. Whittington Jiajun Wu Chelsea Finn DRL 167 27 0 28 May 2023
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment Peng Jin Hao Li Ze-Long Cheng Jinfa Huang Zhennan Wang Li-ming Yuan Chang-rui Liu Jie Chen 117 37 0 20 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 102 1 0 19 May 2023
A Category-theoretical Meta-analysis of Definitions of Disentanglement Yivan Zhang Masashi Sugiyama 130 3 0 11 May 2023
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks Yingji Zhang Danilo S. Carvalho André Freitas DRL 112 6 0 02 May 2023
Visual Referential Games Further the Emergence of Disentangled Representations Kevin Denamganai S. Missaoui James Alfred Walker OCL CoGe 76 5 0 27 Apr 2023
MoStGAN-V: Video Generation with Temporal Motion Styles Xiaoqian Shen Xiang Li Mohamed Elhoseiny VGen 75 32 0 05 Apr 2023
Correcting Flaws in Common Disentanglement Metrics Louis Mahon Lei Shah Thomas Lukasiewicz CoGe DRL 79 3 0 05 Apr 2023
Towards Robust Metrics for Concept Representation Evaluation M. Zarlenga Pietro Barbiero Z. Shams Dmitry Kazhdan Umang Bhatt Adrian Weller M. Jamnik 86 24 0 25 Jan 2023
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 176 87 0 21 Nov 2022
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 118 37 0 02 Nov 2022
DOT-VAE: Disentangling One Factor at a Time Vaishnavi Patil Matthew Evanusa Joseph Jaja CoGe DRL CML 75 1 0 19 Oct 2022
Disentanglement of Correlated Factors via Hausdorff Factorized Support Karsten Roth Mark Ibrahim Zeynep Akata Pascal Vincent Diane Bouchacourt CML OOD CoGe 113 34 0 13 Oct 2022
Interpreting Neural Policies with Disentangled Tree Representations Tsun-Hsuan Wang Wei Xiao Tim Seyde Ramin Hasani Daniela Rus DRL 113 2 0 13 Oct 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 119 1 0 12 Oct 2022
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors Chester Holtz Zhengchao Wan A. Cloninger DRL 41 1 0 04 Oct 2022
Disentanglement with Biological Constraints: A Theory of Functional Cell Types James C. R. Whittington W. Dorrell Surya Ganguli Timothy Edward John Behrens 92 52 0 30 Sep 2022
Learning Disentangled Representations for Natural Language Definitions Danilo S. Carvalho Giangiacomo Mercatali Yingji Zhang André Freitas CoGe DRL 97 8 0 22 Sep 2022
Function Classes for Identifiable Nonlinear Independent Component Analysis Simon Buchholz M. Besserve Bernhard Schölkopf 94 40 0 12 Aug 2022
Interpretable Disentangled Parametrization of Measured BRDF with $β$ -VAE A. Benamira Sachin Shah S. Pattanaik 58 3 0 08 Aug 2022
Meta-Referential Games to Learn Compositional Learning Behaviours Kevin Denamganai S. Missaoui James Alfred Walker 80 1 0 16 Jul 2022
An Empirical Study on Disentanglement of Negative-free Contrastive Learning Jinkun Cao Ruiqian Nai Qing Yang Jialei Huang Yang Gao CoGe DRL 68 10 0 09 Jun 2022