Pashootan Vaezipoor

According to our database, Pashootan Vaezipoor authored at least 15 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations.

Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias Boutros Khalil

Trans. Mach. Learn. Res., 2024

LegalLens Shared Task 2024: Legal Violation Identification in Unstructured Text.

Ben Hagag, Liav Harpaz, Gil Semo, Dor Bernsohn, Rohit Saha, Pashootan Vaezipoor, Kyryl Truskovskyi, Gerasimos Spanakis

CoRR, 2024

Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries.

Blair Yang, Fuyang Cui, Keiran Paster, Jimmy Ba, Pashootan Vaezipoor, Silviu Pitis, Michael R. Zhang

CoRR, 2024

Reward Machines for Deep RL in Noisy and Uncertain Environments.

Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Fast Matrix Multiplication Without Tears: A Constraint Programming Approach.

Arnaud Deza, Chang Liu, Pashootan Vaezipoor, Elias B. Khalil

Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

2022

Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines.

Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

CoRR, 2022

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks.

Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith

CoRR, 2022

Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem.

Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison

CoRR, 2022

Learning to Follow Instructions in Text-Based Games.

Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Augment with Care: Contrastive Learning for Combinatorial Problems.

Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison

Proceedings of the International Conference on Machine Learning, 2022

Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework.

Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

LTL2Action: Generalizing LTL Instructions for Multi-Task RL.

Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Branching Heuristics for Propositional Model Counting.

Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger B. Grosse, Sanjit A. Seshia, Fahiem Bacchus

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Branching Heuristics for Propositional Model Counting.

Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger B. Grosse, Edward A. Lee, Sanjit A. Seshia, Fahiem Bacchus

CoRR, 2020

2011

Lifted Unit Propagation for Effective Grounding

Pashootan Vaezipoor, David G. Mitchell, Maarten Mariën

CoRR, 2011