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Pashootan Vaezipoor
Person information
- affiliation: University of Toronto, Canada
- affiliation (former): Simon Fraser University, Canada
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Journal Articles
- 2024
- [j1]Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias Boutros Khalil:
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations. Trans. Mach. Learn. Res. 2024 (2024)
Conference and Workshop Papers
- 2023
- [c6]Arnaud Deza, Chang Liu, Pashootan Vaezipoor, Elias B. Khalil:
Fast Matrix Multiplication Without Tears: A Constraint Programming Approach. CP 2023: 14:1-14:15 - 2022
- [c5]Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina:
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. AAAI 2022: 3786-3795 - [c4]Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison:
Augment with Care: Contrastive Learning for Combinatorial Problems. ICML 2022: 5627-5642 - [c3]Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith:
Learning to Follow Instructions in Text-Based Games. NeurIPS 2022 - 2021
- [c2]Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger B. Grosse, Sanjit A. Seshia, Fahiem Bacchus:
Learning Branching Heuristics for Propositional Model Counting. AAAI 2021: 12427-12435 - [c1]Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith:
LTL2Action: Generalizing LTL Instructions for Multi-Task RL. ICML 2021: 10497-10508
Informal and Other Publications
- 2024
- [i11]Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith:
Reward Machines for Deep RL in Noisy and Uncertain Environments. CoRR abs/2406.00120 (2024) - 2023
- [i10]Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias B. Khalil:
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations. CoRR abs/2305.18354 (2023) - [i9]Arnaud Deza, Chang Liu, Pashootan Vaezipoor, Elias B. Khalil:
Fast Matrix Multiplication Without Tears: A Constraint Programming Approach. CoRR abs/2306.01097 (2023) - 2022
- [i8]Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison:
Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem. CoRR abs/2202.08396 (2022) - [i7]Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith:
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks. CoRR abs/2206.01812 (2022) - [i6]Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith:
Learning to Follow Instructions in Text-Based Games. CoRR abs/2211.04591 (2022) - [i5]Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith:
Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines. CoRR abs/2211.10902 (2022) - 2021
- [i4]Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith:
LTL2Action: Generalizing LTL Instructions for Multi-Task RL. CoRR abs/2102.06858 (2021) - [i3]Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina:
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. CoRR abs/2110.08423 (2021) - 2020
- [i2]Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger B. Grosse, Edward A. Lee, Sanjit A. Seshia, Fahiem Bacchus:
Learning Branching Heuristics for Propositional Model Counting. CoRR abs/2007.03204 (2020) - 2011
- [i1]Pashootan Vaezipoor, David G. Mitchell, Maarten Mariën:
Lifted Unit Propagation for Effective Grounding. CoRR abs/1109.1317 (2011)
Coauthor Index
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