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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Ziyu Gong Jim Lim David I. Inouye DiffM 34 0 0 17 Jun 2025
Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aorta Aneurysm Generation Francesco Fabbri Martino Andrea Scarpolini Angelo Iollo Francesco Viola Francesco Tudisco MedIm 39 0 0 16 Jun 2025
Diffusion Counterfactual Generation with Semantic Abduction Rajat Rasal Avinash Kori Fabio De Sousa Ribeiro Tian Xia Ben Glocker DiffM 22 0 0 09 Jun 2025
Identifiable Object Representations under Spatial Ambiguities Avinash Kori Francesca Toni Ben Glocker OCL 22 0 0 09 Jun 2025
Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs Zihao Chen Yu Xiang Wenyong Wang DRL CML CoGe 36 0 0 30 May 2025
Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking Yuatyong Chaichana Thanapat Trachu Peerat Limkonchotiwat Konpat Preechakul Tirasan Khandhawit Ekapol Chuangsuwanich MoMe 76 0 0 29 May 2025
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations Dingling Yao Shimeng Huang Riccardo Cadei Kun Zhang Francesco Locatello CML 140 0 0 23 May 2025
Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling Xinxing Shi Xiaoyu Jiang Mauricio A. Álvarez BDL 112 0 0 22 May 2025
Causal Intervention Framework for Variational Auto Encoder Mechanistic Interpretability Dip Roy CML 28 0 0 06 May 2025
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 520 1 0 28 Apr 2025
VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification Lucas Heublein Simon Kocher Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott DRL 84 1 0 14 Apr 2025
Learning symmetries in datasets Veronica Sanz DRL 53 0 0 07 Apr 2025
Interpretable Single-View 3D Gaussian Splatting using Unsupervised Hierarchical Disentangled Representation Learning Yanzhe Zhang Baao Xie Hu Zhu Qian Wang Huanting Guo Xin Jin Wenjun Zeng 3DGS 455 0 0 05 Apr 2025
Can Diffusion Models Disentangle? A Theoretical Perspective Liming Wang Muhammad Jehanzeb Mirza Yishu Gong Yuan Gong Jiaqi Zhang Brian Tracey Katerina Placek Marco Vilela James Glass DiffM CoGe 118 0 0 31 Mar 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 160 2 0 30 Mar 2025
Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation Zahra Tehraninasab Amar Kumar Tal Arbel MedIm 107 0 0 30 Mar 2025
LangVAE and LangSpace: Building and Probing for Language Model VAEs Danilo S. Carvalho Yingji Zhang Harriet Unsworth André Freitas 86 0 0 29 Mar 2025
CMD-HAR: Cross-Modal Disentanglement for Wearable Human Activity Recognition Hanyu Liu Siyao Li Ying Yu Yixuan Jiang Hang Xiao Jingxi Long Haotian Tang Chao Li 77 0 0 27 Mar 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 117 0 0 12 Mar 2025
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement Chenrui Ma Rongchang Zhao Xi Xiao Hongyang Xie Tianyang Wang Xiang Wang Huatian Zhang Yanning Shen 129 1 0 11 Mar 2025
Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations Eren Erogullari Sebastian Lapuschkin Wojciech Samek Frederik Pahde LLMSV CoGe 94 0 0 07 Mar 2025
A Theory of Initialisation's Impact on Specialisation Devon Jarvis Sebastian Lee Clémentine Dominé Andrew M. Saxe Stefano Sarao Mannelli CLL 117 2 0 04 Mar 2025
CoInD: Enabling Logical Compositions in Diffusion Models Sachit Gaudi Gautam Sreekumar Vishnu Boddeti CoGe 117 1 0 03 Mar 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization Jiaqi Wang Yuhang Zhou Zhixiong Zhang Qiguang Chen Yongqiang Chen James Cheng OODD 163 1 0 18 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 142 1 0 17 Feb 2025
DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering Suparshva Jain Amit Sangroya Lovekesh Vig DiffM 119 1 0 17 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 134 1 0 04 Feb 2025
Disentanglement Analysis in Deep Latent Variable Models Matching Aggregate Posterior Distributions Surojit Saha Sarang Joshi Ross T. Whitaker DRL 110 1 0 28 Jan 2025
Slot-BERT: Self-supervised Object Discovery in Surgical Video Guiqiu Liao M. Jogan Marcel Hussing Kenta Nakahashi Kazuhiro Yasufuku Amin Madani Eric Eaton Daniel A. Hashimoto 476 0 0 21 Jan 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 185 1 0 03 Jan 2025
Unsupervised discovery of the shared and private geometry in multi-view data Sai Koukuntla Joshua B. Julian Jesse C. Kaminsky Manuel Schottdorf David W. Tank C. Brody Adam S. Charles 114 1 0 31 Dec 2024
Symbolic Disentangled Representations for Images Alexandr Korchemnyi A. Kovalev Aleksandr I. Panov OCL 129 0 0 31 Dec 2024
Empirical likelihood for Fréchet means on open books Karthik Bharath Huiling Le A. Wood Xi Yan 173 4 0 25 Dec 2024
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization Ziyu Shan Yujie Zhang Yipeng Liu Yiling Xu 57 0 0 12 Nov 2024
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning Mingxing Li Dingkang Yang Yongxu Liu Shunli Wang Jiawei Chen ... Xiaolu Hou Mingyang Sun Ziyun Qian Dongliang Kou Li Zhang 87 2 0 05 Nov 2024
Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models Aashiq Muhamed Mona Diab Virginia Smith 100 3 0 01 Nov 2024
$α$ -TCVAE: On the relationship between Disentanglement and Diversity Cristian Meo Louis Mahon Anirudh Goyal Justin Dauwels DRL 153 8 0 01 Nov 2024
Identifying General Mechanism Shifts in Linear Causal Representations Tianyu Chen Kevin Bello Francesco Locatello Bryon Aragam Pradeep Ravikumar OOD CML 100 3 0 31 Oct 2024
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
Contrastive Learning and Adversarial Disentanglement for Privacy-Aware Task-Oriented Semantic Communication Omar Erak Omar Alhussein Wen Tong 136 0 0 30 Oct 2024
Learning Identifiable Factorized Causal Representations of Cellular Responses Haiyi Mao Romain Lopez Kai Liu Jan-Christian Huetter David Richmond Panayiotis Benos Lin Qiu CML 83 3 0 29 Oct 2024
Unpicking Data at the Seams: Understanding Disentanglement in VAEs Carl Allen CML CoGe 120 0 0 29 Oct 2024
Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoder Anirudha Powadi Talukder Zaki Jubery Michael C. Tross James C. Schnable Baskar Ganapathysubramanian CML CoGe 56 1 0 25 Oct 2024
Interpretable Representation Learning from Videos using Nonlinear Priors Marian Longa Joao F. Henriques CML DRL 58 0 0 24 Oct 2024
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models Yule Wang Chengrui Li Weihan Li Anqi Wu DiffM 92 6 0 12 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 76 0 0 07 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 65 1 0 07 Oct 2024
Latent Abstractions in Generative Diffusion Models Giulio Franzese Mattia Martini Giulio Corallo Paolo Papotti Pietro Michiardi DiffM 58 0 0 04 Oct 2024
Disentangled Representation Learning for Parametric Partial Differential Equations Ning Liu Lu Zhang Tian Gao Yue Yu DRL AI4CE 73 2 0 03 Oct 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models Haolin Li Yuhang Zhou Ziheng Zhao Siyuan Du Jiangchao Yao Weidi Xie Ya Zhang Yanfeng Wang 74 1 0 29 Sep 2024