Thomas Icard

64 papers A* 9A 1B 12Journal 32Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Transcoder Adapters for Reasoning-Model Diffing.
CoRR
Nathan Hu, Jake Ward, Thomas Icard, Christopher Potts
2025 J jnl
A Communication-First Account of Explanation.
CoRR
Jacqueline Harding, Tobias Gerstenberg, Thomas Icard
2025 J jnl
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability.
J. Mach. Learn. Res.
Atticus Geiger, Duligur Ibeling, Amir Zur, Maheep Chaudhary, Sonakshi Chauhan, Jing Huang, Aryaman Arora, Zhengxuan Wu, Noah D. Goodman, Christopher Potts, Thomas Icard
2025 J jnl
How Causal Abstraction Underpins Computational Explanation.
CoRR
Atticus Geiger, Jacqueline Harding, Thomas Icard
2025 J jnl
Interleaving Logic and Counting.
CoRR
Johan van Benthem, Thomas Icard
2025 A* conf
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors.
ICML
Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts
2025 J jnl
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors.
CoRR
Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts
2025 J jnl
Modeling Discrimination with Causal Abstraction.
CoRR
Milan Mossé, Kara Schechtman, Frederick Eberhardt, Thomas Icard
2025 B conf
Norms moderate causal judgments in cases of double prevention.
CogSci
Kevin O'Neill, Paul Henne, Tadeg Quillien, Thomas Icard, Felipe De Brigard
2025 B conf
Toward a Formal Pragmatics of Explanation.
CogSci
Jacqueline Harding, Tobias Gerstenberg, Thomas Icard
2025 J jnl
When AI meets counterfactuals: the ethical implications of counterfactual world simulation models.
AI Ethics
Lara Kirfel, Rob MacCoun, Thomas Icard, Tobias Gerstenberg
2024 J jnl
A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments.
CoRR
Zhengxuan Wu, Atticus Geiger, Jing Huang, Aryaman Arora, Thomas Icard, Christopher Potts, Noah D. Goodman
2024 — conf
Anticipating the Risks and Benefits of Counterfactual World Simulation Models (Extended Abstract).
AIES (1)
Lara Kirfel, Rob MacCoun, Thomas Icard, Tobias Gerstenberg
2024 J jnl
Belief in the Machine: Investigating Epistemological Blind Spots of Language Models.
CoRR
Mirac Suzgun, Tayfun Gur, Federico Bianchi, Daniel E. Ho, Thomas Icard, Dan Jurafsky, James Zou
2024 B conf
Do as I explain: Explanations communicate optimal interventions.
CogSci
Lara Kirfel, Jacqueline Harding, Jeong Yeon Shin, Cindy Xin, Thomas Icard, Tobias Gerstenberg
2024 — conf
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations.
CLeaR
Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman
2024 J jnl
Is Causal Reasoning Harder than Probabilistic Reasoning?
Rev. Symb. Log.
Milan Mossé, Duligur Ibeling, Thomas Icard
2024 J jnl
Probing the quantitative-qualitative divide in probabilistic reasoning.
Ann. Pure Appl. Log.
Duligur Ibeling, Thomas Icard, Krzysztof Mierzewski, Milan Mossé
2023 B conf
A Semantics for Causing, Enabling, and Preventing Verbs Using Structural Causal Models.
CogSci
Angela Cao, Atticus Geiger, Elisa Kreiss, Thomas Icard, Tobias Gerstenberg
2023 J jnl
Causal Abstraction for Faithful Model Interpretation.
CoRR
Atticus Geiger, Christopher Potts, Thomas Icard
2023 — conf
Causal Abstraction with Soft Interventions.
CLeaR
Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu
2023 A* conf
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions.
NeurIPS
Duligur Ibeling, Thomas Icard
2023 J jnl
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions.
CoRR
Duligur Ibeling, Thomas Icard
2023 J jnl
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations.
CoRR
Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman
2023 J jnl
Holistic Evaluation of Language Models.
Trans. Mach. Learn. Res.
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
2023 J jnl
Interleaving Logic and Counting.
Bull. Symb. Log.
Johan van Benthem, Thomas Icard
2023 A* conf
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca.
NeurIPS
Zhengxuan Wu, Atticus Geiger, Thomas Icard, Christopher Potts, Noah D. Goodman
2023 J jnl
Probing the Quantitative-Qualitative Divide in Probabilistic Reasoning.
CoRR
Duligur Ibeling, Thomas Icard, Krzysztof Mierzewski, Milan Mossé
2023 B conf
Show and tell: Learning causal structures from observations and explanations.
CogSci
Andrew Nam, Christopher Hughes, Thomas Icard, Tobias Gerstenberg
2022 J jnl
Causal Abstraction with Soft Interventions.
CoRR
Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu
2022 — conf
Causal Distillation for Language Models.
NAACL-HLT
Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
2022 J jnl
Holistic Evaluation of Language Models.
CoRR
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
2022 A* conf
Inducing Causal Structure for Interpretable Neural Networks.
ICML
Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
2022 — ch.
On Pearl's Hierarchy and the Foundations of Causal Inference.
Probabilistic and Causal Inference
Elias Bareinboim, Juan D. Correa, Duligur Ibeling, Thomas Icard
2021 A* conf
A Topological Perspective on Causal Inference.
NeurIPS
Duligur Ibeling, Thomas Icard
2021 J jnl
A Topological Perspective on Causal Inference.
CoRR
Duligur Ibeling, Thomas Icard
2021 A* conf
Causal Abstractions of Neural Networks.
NeurIPS
Atticus Geiger, Hanson Lu, Thomas Icard, Christopher Potts
2021 J jnl
Causal Abstractions of Neural Networks.
CoRR
Atticus Geiger, Hanson Lu, Thomas Icard, Christopher Potts
2021 J jnl
Causal Distillation for Language Models.
CoRR
Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
2021 J jnl
Inducing Causal Structure for Interpretable Neural Networks.
CoRR
Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
2021 J jnl
Is Causal Reasoning Harder than Probabilistic Reasoning?
CoRR
Milan Mossé, Duligur Ibeling, Thomas Icard
2021 — ed.
Logic, Rationality, and Interaction - 8th International Workshop, LORI 2021, Xi'ian, China, October 16-18, 2021, Proceedings
LORI
Sujata Ghosh, Thomas Icard
2021 J jnl
On the Opportunities and Risks of Foundation Models.
CoRR
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
2020 J jnl
Intention as Commitment toward Time.
CoRR
Marc van Zee, Dragan Doder, Leendert W. N. van der Torre, Mehdi Dastani, Thomas Icard, Eric Pacuit
2020 J jnl
Intention as commitment toward time.
Artif. Intell.
Marc van Zee, Dragan Doder, Leon van der Torre, Mehdi Dastani, Thomas Icard, Eric Pacuit
2020 B conf
Learning from explanations.
CogSci
Lara Kirfel, Thomas Icard, Tobias Gerstenberg
2020 A* conf
Probabilistic Reasoning Across the Causal Hierarchy.
AAAI
Duligur Ibeling, Thomas Icard
2020 J jnl
Probabilistic Reasoning across the Causal Hierarchy.
CoRR
Duligur Ibeling, Thomas Icard
2019 B conf
Inflated inflation and superseded supersession: testing counterfactual sampling accounts of causal strength judgments.
CogSci
Maureen Gill, Jonathan F. Kominsky, Joshua Knobe, Thomas Icard
2019 A conf
On Open-Universe Causal Reasoning.
UAI
Duligur Ibeling, Thomas Icard
2019 J jnl
On Open-Universe Causal Reasoning.
CoRR
Duligur Ibeling, Thomas Icard
2018 A* conf
On the Conditional Logic of Simulation Models.
IJCAI
Duligur Ibeling, Thomas Icard
2018 J jnl
On the Conditional Logic of Simulation Models.
CoRR
Duligur Ibeling, Thomas Icard
2018 B conf
On the instrumental value of hypothetical and counterfactual thought.
CogSci
Thomas Icard, Fiery Cushman, Joshua Knobe
2017 — conf
A Monotonicity Calculus and Its Completeness.
MOL
Thomas Icard, Lawrence S. Moss, William Tune
2017 B conf
Beyond Almost-Sure Termination.
CogSci
Thomas Icard
2016 B conf
Causality, Normality, and Sampling Propensity.
CogSci
Thomas Icard, Joshua Knobe
2015 B conf
A Resource-Rational Approach to the Causal Frame Problem.
CogSci
Thomas Icard, Noah D. Goodman
2015 — conf
Neural-Symbolic Learning and Reasoning: Contributions and Challenges.
AAAI Spring Symposia
Artur S. d'Avila Garcez, Tarek R. Besold, Luc De Raedt, Peter Földiák, Pascal Hitzler, Thomas Icard, Kai-Uwe Kühnberger, Luís C. Lamb, Risto Miikkulainen, Daniel L. Silver
2014 B conf
Toward Boundedly Rational Analysis.
CogSci
Thomas Icard
2013 — conf
A Complete Calculus of Monotone and Antitone Higher-Order Functions.
TACL
Thomas Icard, Lawrence S. Moss
2011 J jnl
A Topological Study of the Closed Fragment of GLP.
J. Log. Comput.
Thomas Icard
2010 — ed.
Interfaces: Explorations in Logic, Language and Computation, ESSLLI 2008 and ESSLLI 2009 Student Sessions. Selected Papers
ESSLLI Student Sessions
Thomas Icard, Reinhard Muskens
2010 A* conf
Joint Revision of Beliefs and Intention.
KR
Thomas Icard, Eric Pacuit, Yoav Shoham