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Thomas Icard
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- affiliation: Stanford University, Department of Philosophy, CA, USA
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2020 – today
- 2024
- [j12]Duligur Ibeling, Thomas Icard, Krzysztof Mierzewski, Milan Mossé
:
Probing the quantitative-qualitative divide in probabilistic reasoning. Ann. Pure Appl. Log. 175(9): 103339 (2024) - [j11]Milan Mossé, Duligur Ibeling, Thomas Icard:
Is Causal Reasoning Harder than Probabilistic Reasoning? Rev. Symb. Log. 17(1): 106-131 (2024) - [c30]Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman:
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CLeaR 2024: 160-187 - [i21]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 abs/2401.12631 (2024) - [i20]Duligur Ibeling, Thomas F. Icard III, Milan Mossé:
On Probabilistic and Causal Reasoning with Summation Operators. CoRR abs/2405.03069 (2024) - [i19]Mirac Suzgun, Tayfun Gur, Federico Bianchi, Daniel E. Ho, Thomas Icard, Dan Jurafsky, James Zou:
Belief in the Machine: Investigating Epistemological Blind Spots of Language Models. CoRR abs/2410.21195 (2024) - 2023
- [j10]Johan van Benthem, Thomas Icard:
Interleaving Logic and Counting. Bull. Symb. Log. 29(4): 503-587 (2023) - [j9]Thomas F. Icard III, Lawrence S. Moss:
A Simple Logic of Concepts. J. Philos. Log. 52(3): 705-730 (2023) - [j8]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) - [c29]Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu:
Causal Abstraction with Soft Interventions. CLeaR 2023: 68-87 - [c28]Angela Cao, Atticus Geiger, Elisa Kreiss, Thomas Icard, Tobias Gerstenberg:
A Semantics for Causing, Enabling, and Preventing Verbs Using Structural Causal Models. CogSci 2023 - [c27]Andrew Nam, Christopher Hughes, Thomas Icard, Tobias Gerstenberg:
Show and tell: Learning causal structures from observations and explanations. CogSci 2023 - [c26]Duligur Ibeling, Thomas Icard:
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions. NeurIPS 2023 - [c25]Zhengxuan Wu, Atticus Geiger, Thomas Icard, Christopher Potts, Noah D. Goodman:
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. NeurIPS 2023 - [i18]Atticus Geiger, Christopher Potts, Thomas Icard:
Causal Abstraction for Faithful Model Interpretation. CoRR abs/2301.04709 (2023) - [i17]Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman:
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CoRR abs/2303.02536 (2023) - [i16]Duligur Ibeling, Thomas Icard:
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions. CoRR abs/2306.14351 (2023) - [i15]Duligur Ibeling, Thomas Icard, Krzysztof Mierzewski, Milan Mossé:
Probing the Quantitative-Qualitative Divide in Probabilistic Reasoning. CoRR abs/2307.05659 (2023) - 2022
- [c24]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: 7324-7338 - [c23]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: 4288-4295 - [p1]Elias Bareinboim, Juan D. Correa
On Pearl's Hierarchy and the Foundations of Causal Inference. Probabilistic and Causal Inference 2022: 507-556 - [i14]Lawrence S. Moss, Thomas F. Icard III:
A Completeness Result for Inequational Reasoning in a Full Higher-Order Setting. CoRR abs/2202.08725 (2022) - [i13]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
Holistic Evaluation of Language Models. CoRR abs/2211.09110 (2022) - [i12]Riccardo Massidda
Causal Abstraction with Soft Interventions. CoRR abs/2211.12270 (2022) - 2021
- [j7]Yifeng Ding, Wesley H. Holliday
Logics of imprecise comparative probability. Int. J. Approx. Reason. 132: 154-180 (2021) - [c22]Duligur Ibeling, Thomas Icard:
A Topological Perspective on Causal Inference. NeurIPS 2021: 5608-5619 - [c21]Atticus Geiger, Hanson Lu, Thomas Icard, Christopher Potts:
Causal Abstractions of Neural Networks. NeurIPS 2021: 9574-9586 - [e2]Sujata Ghosh, Thomas Icard:
Logic, Rationality, and Interaction - 8th International Workshop, LORI 2021, Xi'ian, China, October 16-18, 2021, Proceedings. Lecture Notes in Computer Science 13039, Springer 2021, ISBN 978-3-030-88707-0 [contents] - [i11]Matthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard III:
Preferential Structures for Comparative Probabilistic Reasoning. CoRR abs/2104.02287 (2021) - [i10]Atticus Geiger, Hanson Lu, Thomas Icard, Christopher Potts:
Causal Abstractions of Neural Networks. CoRR abs/2106.02997 (2021) - [i9]Duligur Ibeling, Thomas Icard:
A Topological Perspective on Causal Inference. CoRR abs/2107.08558 (2021) - [i8]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.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i7]Milan Mossé, Duligur Ibeling, Thomas Icard:
Is Causal Reasoning Harder than Probabilistic Reasoning? CoRR abs/2111.13936 (2021) - [i6]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 abs/2112.00826 (2021) - [i5]Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman:
Causal Distillation for Language Models. CoRR abs/2112.02505 (2021) - 2020
- [j6]Marc van Zee, Dragan Doder, Leon van der Torre
Intention as commitment toward time. Artif. Intell. 283: 103270 (2020) - [c20]Duligur Ibeling, Thomas Icard:
Probabilistic Reasoning Across the Causal Hierarchy. AAAI 2020: 10170-10177 - [c19]Lara Kirfel, Thomas Icard, Tobias Gerstenberg:
Learning from explanations. CogSci 2020 - [i4]Duligur Ibeling, Thomas Icard:
Probabilistic Reasoning across the Causal Hierarchy. CoRR abs/2001.02889 (2020) - [i3]Marc van Zee, Dragan Doder, Leendert W. N. van der Torre, Mehdi Dastani, Thomas Icard, Eric Pacuit:
Intention as Commitment toward Time. CoRR abs/2004.08144 (2020)
2010 – 2019
- 2019
- [c18]Maureen Gill, Jonathan F. Kominsky, Joshua Knobe, Thomas Icard:
Inflated inflation and superseded supersession: testing counterfactual sampling accounts of causal strength judgments. CogSci 2019: 3462 - [c17]Duligur Ibeling, Thomas Icard:
On Open-Universe Causal Reasoning. UAI 2019: 1233-1243 - [i2]Duligur Ibeling, Thomas Icard:
On Open-Universe Causal Reasoning. CoRR abs/1907.02170 (2019) - 2018
- [j5]Matthew Harrison-Trainor, Wesley H. Holliday
Inferring probability comparisons. Math. Soc. Sci. 91: 62-70 (2018) - [c16]Thomas Icard, Fiery Cushman, Joshua Knobe:
On the instrumental value of hypothetical and counterfactual thought. CogSci 2018 - [c15]Duligur Ibeling, Thomas Icard:
On the Conditional Logic of Simulation Models. IJCAI 2018: 1868-1874 - [i1]Duligur Ibeling, Thomas Icard:
On the Conditional Logic of Simulation Models. CoRR abs/1805.02859 (2018) - 2017
- [c14]Matthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard III:
Preferential Structures for Comparative Probabilistic Reasoning. AAAI 2017: 1135-1141 - [c13]Thomas Icard:
Beyond Almost-Sure Termination. CogSci 2017 - [c12]Thomas Icard, Lawrence S. Moss, William Tune:
A Monotonicity Calculus and Its Completeness. MOL 2017: 75-87 - [c11]Wesley H. Holliday
Indicative Conditionals and Dynamic Epistemic Logic. TARK 2017: 337-351 - 2016
- [c10]Thomas Icard, Joshua Knobe:
Causality, Normality, and Sampling Propensity. CogSci 2016 - 2015
- [c9]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 - [c8]Thomas Icard, Noah D. Goodman:
A Resource-Rational Approach to the Causal Frame Problem. CogSci 2015 - 2014
- [c7]Thomas Icard:
Toward Boundedly Rational Analysis. CogSci 2014 - [c6]Thomas F. Icard III:
Higher-Order Syllogistics. FG 2014: 1-14 - 2013
- [j4]Wesley H. Holliday
Information dynamics and uniform substitution. Synth. 190(Supplement-1): 31-55 (2013) - [c5]Thomas Icard, Lawrence S. Moss:
A Complete Calculus of Monotone and Antitone Higher-Order Functions. TACL 2013: 96-100 - 2012
- [j3]Thomas F. Icard III, Joost J. Joosten:
Provability and Interpretability Logics with Restricted Realizations. Notre Dame J. Formal Log. 53(2): 133-154 (2012) - [j2]Thomas F. Icard III:
Inclusion and Exclusion in Natural Language. Stud Logica 100(4): 705-725 (2012) - [c4]Wesley H. Holliday, Tomohiro Hoshi, Thomas F. Icard III:
A Uniform Logic of Information Dynamics. Advances in Modal Logic 2012: 348-367 - 2011
- [j1]Thomas Icard:
A Topological Study of the Closed Fragment of GLP. J. Log. Comput. 21(4): 683-696 (2011) - [c3]Wesley H. Holliday
Schematic Validity in Dynamic Epistemic Logic: Decidability. LORI 2011: 87-96 - 2010
- [c2]Wesley H. Holliday, Thomas F. Icard III:
Moorean Phenomena in Epistemic Logic. Advances in Modal Logic 2010: 178-199 - [c1]Thomas Icard, Eric Pacuit, Yoav Shoham:
Joint Revision of Beliefs and Intention. KR 2010 - [e1]Thomas Icard, Reinhard Muskens
Interfaces: Explorations in Logic, Language and Computation, ESSLLI 2008 and ESSLLI 2009 Student Sessions. Selected Papers. Lecture Notes in Computer Science 6211, Springer 2010, ISBN 978-3-642-14728-9 [contents]
Coauthor Index
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last updated on 2024-12-01 01:11 CET by the dblp team
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