Thomas Icard

1. On the Opportunities and Risks of Foundation Models
   2021/08/16 by Rishi Bommasani, Bommasani, Rishi, Drew A. Hudson +233 · 11 voices · 815 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Topic Modeling
2. Causal Abstractions of Neural Networks
   2021/06/06 by Atticus Geiger, Hanson Lu, Geiger, Atticus +5 · 56 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
3. Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
   2023/03/05 by Atticus Geiger, Geiger, Atticus, Zhengxuan Wu +7 · 33 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference
4. Inducing Causal Structure for Interpretable Neural Networks
   2021/12/01 by Atticus Geiger, Zhengxuan Wu, Geiger, Atticus +13 · 12 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Topic Modeling #Bayesian Modeling and Causal Inference
5. On Open-Universe Causal Reasoning
   2019/07/04 by Duligur Ibeling, Ibeling, Duligur, Thomas Icard +1 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Logic, Reasoning, and Knowledge
6. Causal Abstraction with Soft Interventions
   2022/11/22 by Riccardo Massidda, Atticus Geiger, Massidda, Riccardo +5 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Gene Regulatory Network Analysis
7. A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments
   2024/01/23 by Zhengxuan Wu, Atticus Geiger, Wu, Zhengxuan +11 · 1 voice · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
8. A Topological Perspective on Causal Inference
   2021/07/18 by Duligur Ibeling, Thomas Icard, Ibeling, Duligur +1 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
9. Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
   2024/10/28 by Mirac Suzgun, Mirac Süzgün, Suzgun, Mirac +12 · 3 voices · 2 citations
   Computer Science · Social Sciences · #Language and cultural evolution #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.CY
10. Holistic Evaluation of Language Models
    2022/11/16 by Percy Liang, Rishi Bommasani, Tony Lee +47 · 1 voice · 1 citation
    Computer Science · #cs.CL #cs.AI #cs.LG
11. Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions
    2023/06/25 by Duligur Ibeling, Thomas Icard, Ibeling, Duligur +1 · 1 citation
    Arts and Humanities · Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Philosophy and History of Science
12. How Causal Abstraction Underpins Computational Explanation
    2025/08/15 by Atticus Geiger, Jacqueline Harding, Geiger, Atticus +3 · 4 citations
    Neuroscience · Psychology · #Embodied and Extended Cognition #Philosophy and Theoretical Science #Child and Animal Learning Development
13. Modeling Discrimination with Causal Abstraction
    2025/01/14 by Milan Mossé, Mossé, Milan, Kara Schechtman +5 · 1 citation
    Economics, Econometrics and Finance · Social Sciences · #Game Theory and Voting Systems #Names, Identity, and Discrimination Research
14. A Communication-First Account of Explanation
    2025/05/06 by Jacqueline Harding, Harding, Jacqueline, Tobias Gerstenberg +3 · 1 voice · 3 citations
    #cs.MA
15. Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
    2025/05/17 by Jing Huang, Junyi Tao, Huang, Jing +7 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling