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178 Results
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Hierarchical Causal Representation Learning Angelos Nalmpantis · Phillip Lippe · Sara Magliacane |
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On the Relationship Between Explanation and Prediction: A Causal View Amir-Hossein Karimi · Krikamol Muandet · Simon Kornblith · Bernhard Schölkopf · Been Kim |
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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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Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization Somya Sharma · Swati Sharma · RAFAEL PADILHA · Emre Kiciman · Ranveer Chandra |
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Exploring Causal Relationship between Environment and Drizzle Properties using Machine Learning Piyush Garg · Virendra Ghate · Maria Cadeddu · Bethany Lusch |
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Transformer-based Causal Language Models from a Meta-Learning Perspective Xinbo Wu · Lav Varshney |
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Causal Dependence Plots Joshua Loftus · Lucius Bynum · Sakina Hansen |
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Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing · Jonas Wahl · Urmi Ninad · Jakob Runge |
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Attention for Causal Relationship Discovery from Biological Neural Dynamics Ziyu Lu · Anika Tabassum · Shruti Kulkarni · Lu Mi · Nathan Kutz · Eric Shea-Brown · Seung-Hwan Lim |
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Quantized Local Independence Discovery for Fine-Grained Causal Dynamics Learning in Reinforcement Learning Inwoo Hwang · Yun-hyeok Kwak · Suhyung Choi · Byoung-Tak Zhang · Sanghack Lee |
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Towards Causal Representations of Climate Model Data Julien Boussard · Chandni Nagda · Julia Kaltenborn · Charlotte Lange · Yaniv Gurwicz · Peer Nowack · David Rolnick |
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Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models Sean Kulinski · Zeyu Zhou · Ruqi Bai · Murat Kocaoglu · David Inouye |