Thomas Icard

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 41

Top Topics

Causal Reasoning

Structural Model

Causal Relationships

Top Venues

Publications

Milan Mossé, Duligur Ibeling, Thomas Icard
Is Causal Reasoning Harder than Probabilistic Reasoning? Rev. Symb. Log. 17 (1) (2024)
Duligur Ibeling, Thomas Icard, Krzysztof Mierzewski, Milan Mossé
Probing the quantitative-qualitative divide in probabilistic reasoning. Ann. Pure Appl. Log. 175 (9) (2024)
Zhengxuan Wu, Atticus Geiger, Jing Huang, Aryaman Arora, Thomas Icard, Christopher Potts, Noah D. Goodman
A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments. CoRR (2024)
Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CLeaR (2024)
Zhengxuan Wu, Atticus Geiger, Thomas Icard, Christopher Potts, Noah D. Goodman
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. NeurIPS (2023)
Duligur Ibeling, Thomas Icard
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions. CoRR (2023)
Duligur Ibeling, Thomas Icard
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions. NeurIPS (2023)
Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CoRR (2023)
Andrew Nam, Christopher Hughes, Thomas Icard, Tobias Gerstenberg
Show and tell: Learning causal structures from observations and explanations. CogSci (2023)
Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu
Causal Abstraction with Soft Interventions. CLeaR (2023)
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
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023)
Duligur Ibeling, Thomas Icard, Krzysztof Mierzewski, Milan Mossé
Probing the Quantitative-Qualitative Divide in Probabilistic Reasoning. CoRR (2023)
Johan van Benthem, Thomas Icard
Interleaving Logic and Counting. Bull. Symb. Log. 29 (4) (2023)
Angela Cao, Atticus Geiger, Elisa Kreiss, Thomas Icard, Tobias Gerstenberg
A Semantics for Causing, Enabling, and Preventing Verbs Using Structural Causal Models. CogSci (2023)
Atticus Geiger, Christopher Potts, Thomas Icard
Causal Abstraction for Faithful Model Interpretation. CoRR (2023)
Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
Causal Distillation for Language Models. NAACL-HLT (2022)
Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
Inducing Causal Structure for Interpretable Neural Networks. ICML (2022)
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
Holistic Evaluation of Language Models. CoRR (2022)
Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu
Causal Abstraction with Soft Interventions. CoRR (2022)
Duligur Ibeling, Thomas Icard
A Topological Perspective on Causal Inference. CoRR (2021)
Milan Mossé, Duligur Ibeling, Thomas Icard
Is Causal Reasoning Harder than Probabilistic Reasoning? CoRR (2021)
Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
Causal Distillation for Language Models. CoRR (2021)
Duligur Ibeling, Thomas Icard
A Topological Perspective on Causal Inference. NeurIPS (2021)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ 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 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.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
Atticus Geiger, Hanson Lu, Thomas Icard, Christopher Potts
Causal Abstractions of Neural Networks. NeurIPS (2021)
Atticus Geiger, Hanson Lu, Thomas Icard, Christopher Potts
Causal Abstractions of Neural Networks. CoRR (2021)
Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
Inducing Causal Structure for Interpretable Neural Networks. CoRR (2021)
Duligur Ibeling, Thomas Icard
Probabilistic Reasoning Across the Causal Hierarchy. AAAI (2020)
Duligur Ibeling, Thomas Icard
Probabilistic Reasoning across the Causal Hierarchy. CoRR (2020)
Lara Kirfel, Thomas Icard, Tobias Gerstenberg
Learning from explanations. CogSci (2020)
Maureen Gill, Jonathan F. Kominsky, Joshua Knobe, Thomas Icard
Inflated inflation and superseded supersession: testing counterfactual sampling accounts of causal strength judgments. CogSci (2019)
Duligur Ibeling, Thomas Icard
On Open-Universe Causal Reasoning. CoRR (2019)
Duligur Ibeling, Thomas Icard
On Open-Universe Causal Reasoning. UAI (2019)
Duligur Ibeling, Thomas Icard
On the Conditional Logic of Simulation Models. CoRR (2018)
Thomas Icard, Fiery Cushman, Joshua Knobe
On the instrumental value of hypothetical and counterfactual thought. CogSci (2018)
Duligur Ibeling, Thomas Icard
On the Conditional Logic of Simulation Models. IJCAI (2018)
Thomas Icard
Beyond Almost-Sure Termination. CogSci (2017)
Thomas Icard, Lawrence S. Moss, William Tune
A Monotonicity Calculus and Its Completeness. MOL (2017)
Thomas Icard, Joshua Knobe
Causality, Normality, and Sampling Propensity. CogSci (2016)
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
Neural-Symbolic Learning and Reasoning: Contributions and Challenges. AAAI Spring Symposia (2015)
Thomas Icard, Noah D. Goodman
A Resource-Rational Approach to the Causal Frame Problem. CogSci (2015)
Thomas Icard
Toward Boundedly Rational Analysis. CogSci (2014)
Thomas Icard, Lawrence S. Moss
A Complete Calculus of Monotone and Antitone Higher-Order Functions. TACL (2013)