| 2026 | ACL | Lightweight and Faithful Visual Condition Checking in Behavior Trees via Expert-Regularized Reinforcement Learning. | Hyosik Moon, Eldan Cohen |
| 2024 | ECAI | NeurCAM: Interpretable Neural Clustering via Additive Models. | Nakul Upadhya, Eldan Cohen |
| 2024 | NAACL | Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models. | Mohammad Mahdi Abdollah Pour, Ali Pesaranghader, Eldan Cohen, Scott Sanner |
| 2024 | SoCS | Neural Sequence Generation with Constraints via Beam Search with Cuts: A Case Study on VRP. | Pouya Shati, Eldan Cohen, Sheila A. McIlraith |
| 2024 | SoCS | Bi-Criteria Diverse Plan Selection via Beam Search Approximation. | Shanhe Zhong, Pouya Shati, Eldan Cohen |
| 2023 | CP | SAT-Based Learning of Compact Binary Decision Diagrams for Classification. | Pouya Shati, Eldan Cohen, Sheila A. McIlraith |
| 2023 | CPAIOR | Interpretable Clustering via Soft Clustering Trees. | Eldan Cohen |
| 2023 | IJCAI | Optimal Decision Trees For Interpretable Clustering with Constraints. | Pouya Shati, Eldan Cohen, Sheila A. McIlraith |
| 2021 | CP | SAT-Based Approach for Learning Optimal Decision Trees with Non-Binary Features. | Pouya Shati, Eldan Cohen, Sheila A. McIlraith |
| 2021 | CPAIOR | Heavy-Tails and Randomized Restarting Beam Search in Goal-Oriented Neural Sequence Decoding. | Eldan Cohen, J. Christopher Beck |
| 2021 | ICASSP | Unified Clustering and Outlier Detection on Specialized Hardware. | Eldan Cohen, Hayato Ushijima-Mwesigwa, Avradip Mandal, Arnab Roy |
| 2021 | IJCAI | Type-WA*: Using Exploration in Bounded Suboptimal Planning. | Eldan Cohen, Richard Anthony Valenzano, Sheila A. McIlraith |
| 2020 | CPAIOR | An Ising Framework for Constrained Clustering on Special Purpose Hardware. | Eldan Cohen, Arik Senderovich, J. Christopher Beck |
| 2020 | IDA | Ising-Based Consensus Clustering on Specialized Hardware. | Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy |
| 2019 | ICML | Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models. | Eldan Cohen, J. Christopher Beck |
| 2018 | AAAI | Fat- and Heavy-Tailed Behavior in Satisficing Planning. | Eldan Cohen, J. Christopher Beck |
| 2018 | IJCAI | Local Minima, Heavy Tails, and Search Effort for GBFS. | Eldan Cohen, J. Christopher Beck |
| 2018 | MSR | Large-scale analysis of the co-commit patterns of the active developers in github's top repositories. | Eldan Cohen, Mariano P. Consens |
| 2017 | AAAI | Problem Difficulty and the Phase Transition in Heuristic Search. | Eldan Cohen, J. Christopher Beck |
| 2017 | SAT | (I Can Get) Satisfaction: Preference-Based Scheduling for Concert-Goers at Multi-venue Music Festivals. | Eldan Cohen, Guoyu Huang, J. Christopher Beck |
| 2017 | SoCS | Cost-Based Heuristics and Node Re-Expansions across the Phase Transition. | Eldan Cohen, J. Christopher Beck |