Towards Causal Representation Learning

22 February 2021

Bernhard Schölkopf

Francesco Locatello

Stefan Bauer

Papers citing "Towards Causal Representation Learning"

50 / 66 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
Object-Aware DINO (Oh-A-Dino): Enhancing Self-Supervised Representations for Multi-Object Instance Retrieval Stefan Sylvius Wagner Stefan Harmeling OCL 68 0 0 12 Mar 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Z. Hao 46 7 0 31 Dec 2024
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning John Wu David Wu Jimeng Sun 30 1 0 31 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
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 41 7 0 29 Mar 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 33 2 0 19 Dec 2023
Is attention all you need in medical image analysis? A review G. Papanastasiou Nikolaos Dikaios Jiahao Huang Chengjia Wang Guang Yang ViT MedIm 16 22 0 24 Jul 2023
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables Ruta Binkyt.e D. Gorla C. Palamidessi FaML 13 1 0 06 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
An Invariant Learning Characterization of Controlled Text Generation Carolina Zheng Claudia Shi Keyon Vafa Amir Feder David M. Blei OOD 22 8 0 31 May 2023
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 28 0 0 29 May 2023
What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem Jose Alvarez Colmenares CML 16 0 0 16 May 2023
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search Qijie Shen Hong Wen Jing Zhang Qi Rao 24 13 0 04 Apr 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 30 31 0 23 Mar 2023
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto CML 24 10 0 20 Feb 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 19 7 0 20 Feb 2023
On the Interventional Kullback-Leibler Divergence J. Wildberger Siyuan Guo Arnab Bhattacharyya Bernhard Schölkopf OOD CML 21 6 0 10 Feb 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 28 11 0 30 Jan 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 49 22 0 12 Jan 2023
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang Jiewei Zhang OODD 27 16 0 19 Dec 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling Inwoo Hwang Sangjun Lee Yunhyeok Kwak Seong Joon Oh Damien Teney Jin-Hwa Kim Byoung-Tak Zhang OOD 321 28 0 04 Nov 2022
Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto 37 18 0 29 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 48 12 0 11 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content! Stefan Smeu Elena Burceanu Andrei Liviu Nicolicioiu Emanuela Haller 21 4 0 06 Oct 2022
Bridging the Gap to Real-World Object-Centric Learning Maximilian Seitzer Max Horn Andrii Zadaianchuk Dominik Zietlow Tianjun Xiao ... Tong He Zheng-Wei Zhang Bernhard Schölkopf Thomas Brox Francesco Locatello OCL 37 139 0 29 Sep 2022
Causal inference in drug discovery and development T. Michoel J. Zhang CML 24 17 0 29 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 21 91 0 14 Sep 2022
Towards Computing an Optimal Abstraction for Structural Causal Models Fabio Massimo Zennaro P. Turrini Theodoros Damoulas 11 1 0 01 Aug 2022
Towards Intercultural Affect Recognition: Audio-Visual Affect Recognition in the Wild Across Six Cultures Leena Mathur R. Adolphs Maja J. Matarić CVBM 17 1 0 31 Jul 2022
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 14 0 0 26 Jul 2022
Structural Causal 3D Reconstruction Weiyang Liu Zhen Liu Liam Paull Adrian Weller Bernhard Schölkopf 3DV CML 22 13 0 20 Jul 2022
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 24 18 0 19 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 49 71 0 19 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 121 32 0 04 Jul 2022
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift Andreas Klass Sven M. Lorenz M. Lauer-Schmaltz David Rügamer Bernd Bischl Christopher Mutschler Felix Ott 29 10 0 17 Jun 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses Eliza Kosoy David M. Chan Adrian Liu Jasmine Collins Bryanna Kaufmann Sandy Han Huang Jessica B. Hamrick John F. Canny Nan Rosemary Ke Alison Gopnik CML AI4CE 21 18 0 16 Jun 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 19 20 0 13 Jun 2022
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision Manuel Traub S. Otte Tobias Menge Matthias Karlbauer Jannik Thummel Martin Volker Butz 21 20 0 26 May 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 32 108 0 23 May 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 20 159 0 27 Mar 2022
A World-Self Model Towards Understanding Intelligence Yutao Yue 19 2 0 25 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 34 9 0 23 Feb 2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality Md Shahriar Iqbal R. Krishna Mohammad Ali Javidian Baishakhi Ray Pooyan Jamshidi LRM 11 27 0 20 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 17 100 0 15 Jan 2022
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric P. Xing OOD 23 112 0 27 Nov 2021
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology Tian Cai Li Xie Muge Chen Yang Liu Di He Shuo-feng Zhang C. Mura P. Bourne Lei Xie OOD 17 4 0 23 Nov 2021
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains Christian Gumbsch Martin Volker Butz Georg Martius AI4CE 13 21 0 29 Oct 2021
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning Kartik Ahuja Jason S. Hartford Yoshua Bengio 19 38 0 29 Oct 2021
Dynamic Inference with Neural Interpreters Nasim Rahaman Muhammad Waleed Gondal S. Joshi Peter V. Gehler Yoshua Bengio Francesco Locatello Bernhard Schölkopf 21 31 0 12 Oct 2021