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Poster
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Wed 8:45
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C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
Xiaoyu Liu · Jiaxin Yuan · Bang An · Yuancheng Xu · Yifan Yang · Furong Huang
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Workshop
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Object-Centric Semantic Vector Quantization
Yi-Fu Wu · Minseung Lee · Sungjin Ahn
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Workshop
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Learning Causally-Aware Representations of Multi-Agent Interactions
Yuejiang Liu · Ahmad Rahimi · Po-Chien Luan · Frano Rajič · Alexandre Alahi
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Poster
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Tue 15:15
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Estimating Propensity for Causality-based Recommendation without Exposure Data
Zhongzhou Liu · Yuan Fang · Min Wu
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Poster
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Tue 8:45
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Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
Peter Hase · Mohit Bansal · Been Kim · Asma Ghandeharioun
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Workshop
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Using Causality-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
Franziska Heeg · Ingo Scholtes
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Workshop
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Learning Causally-Aware Representations of Multi-Agent Interactions
Yuejiang Liu · Ahmad Rahimi · Po-Chien Luan · Frano Rajič · Alexandre Alahi
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Workshop
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Inverted-Attention Transformers can Learn Object Representations: Insights from Slot Attention
Yi-Fu Wu · Klaus Greff · Gamaleldin Elsayed · Michael Mozer · Thomas Kipf · Sjoerd van Steenkiste
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Workshop
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Learning to ignore: Single Source Domain Generalization via Oracle Regularization
Dong Kyu Cho · Sanghack Lee
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Workshop
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Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
Yuqin Yang · Saber Salehkaleybar · Negar Kiyavash
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Workshop
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Federated learning for causal inference using deep generative disentangled models
Alejandro Almodóvar · Juan Parras · Santiago Zazo
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Workshop
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Unfairness Detection within Power Systems through Transfer Counterfactual Learning
Song Wei · Xiangrui Kong · Sarah Huestis-Mitchell · Yao Xie · Shixiang Zhu · Alinson Xavier · Feng Qiu
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