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Eldan Cohen
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2020 – today
- 2024
- [j3]Faria Khandaker
, Arik Senderovich, Junda Zhao
Transformer models for mining intents and predicting activities from emails in knowledge-intensive processes. Eng. Appl. Artif. Intell. 128: 107450 (2024) - [c20]Nakul Upadhya, Eldan Cohen:
NeurCAM: Interpretable Neural Clustering via Additive Models. ECAI 2024: 3079-3087 - [c19]Mohammad Mahdi Abdollah Pour, Ali Pesaranghader, Eldan Cohen, Scott Sanner:
Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models. NAACL-HLT (Findings) 2024: 1529-1536 - [c18]Pouya Shati, Eldan Cohen, Sheila A. McIlraith:
Neural Sequence Generation with Constraints via Beam Search with Cuts: A Case Study on VRP. SOCS 2024: 118-126 - [c17]Shanhe Zhong, Pouya Shati, Eldan Cohen:
Bi-Criteria Diverse Plan Selection via Beam Search Approximation. SOCS 2024: 188-196 - [i3]Nakul Upadhya, Eldan Cohen:
NeurCAM: Interpretable Neural Clustering via Additive Models. CoRR abs/2408.13361 (2024) - 2023
- [j2]Pouya Shati, Eldan Cohen
SAT-based optimal classification trees for non-binary data. Constraints An Int. J. 28(2): 166-202 (2023) - [c16]Pouya Shati, Eldan Cohen, Sheila A. McIlraith:
SAT-Based Learning of Compact Binary Decision Diagrams for Classification. CP 2023: 33:1-33:19 - [c15]Eldan Cohen:
Interpretable Clustering via Soft Clustering Trees. CPAIOR 2023: 281-298 - [c14]Pouya Shati, Eldan Cohen, Sheila A. McIlraith:
Optimal Decision Trees For Interpretable Clustering with Constraints. IJCAI 2023: 2022-2030 - [i2]Pouya Shati, Eldan Cohen, Sheila A. McIlraith:
Optimal Decision Trees For Interpretable Clustering with Constraints. CoRR abs/2301.12671 (2023) - 2022
- [j1]Arik Senderovich
Exploiting Hardware and Software Advances for Quadratic Models of Wind Farm Layout Optimization. IEEE Access 10: 78044-78055 (2022) - 2021
- [c13]Pouya Shati, Eldan Cohen, Sheila A. McIlraith:
SAT-Based Approach for Learning Optimal Decision Trees with Non-Binary Features. CP 2021: 50:1-50:16 - [c12]Eldan Cohen, J. Christopher Beck:
Heavy-Tails and Randomized Restarting Beam Search in Goal-Oriented Neural Sequence Decoding. CPAIOR 2021: 115-132 - [c11]Eldan Cohen, Hayato Ushijima-Mwesigwa, Avradip Mandal, Arnab Roy:
Unified Clustering and Outlier Detection on Specialized Hardware. ICASSP 2021: 3770-3774 - [c10]Eldan Cohen, Richard Anthony Valenzano, Sheila A. McIlraith:
Type-WA*: Using Exploration in Bounded Suboptimal Planning. IJCAI 2021: 4047-4053 - 2020
- [c9]Eldan Cohen, Arik Senderovich, J. Christopher Beck:
An Ising Framework for Constrained Clustering on Special Purpose Hardware. CPAIOR 2020: 130-147 - [c8]Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy:
Ising-Based Consensus Clustering on Specialized Hardware. IDA 2020: 106-118 - [i1]Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy:
Ising-based Consensus Clustering on Specialized Hardware. CoRR abs/2003.01887 (2020)
2010 – 2019
- 2019
- [c7]Eldan Cohen, J. Christopher Beck:
Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models. ICML 2019: 1290-1299 - 2018
- [c6]Eldan Cohen, J. Christopher Beck:
Fat- and Heavy-Tailed Behavior in Satisficing Planning. AAAI 2018: 6136-6143 - [c5]Eldan Cohen, J. Christopher Beck:
Local Minima, Heavy Tails, and Search Effort for GBFS. IJCAI 2018: 4708-4714 - [c4]Eldan Cohen, Mariano P. Consens
Large-scale analysis of the co-commit patterns of the active developers in github's top repositories. MSR 2018: 426-436 - 2017
- [c3]Eldan Cohen, J. Christopher Beck:
Problem Difficulty and the Phase Transition in Heuristic Search. AAAI 2017: 780-786 - [c2]Eldan Cohen, Guoyu Huang, J. Christopher Beck:
(I Can Get) Satisfaction: Preference-Based Scheduling for Concert-Goers at Multi-venue Music Festivals. SAT 2017: 147-163 - [c1]Eldan Cohen, J. Christopher Beck:
Cost-Based Heuristics and Node Re-Expansions across the Phase Transition. SOCS 2017: 11-19
Coauthor Index
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last updated on 2024-10-28 20:11 CET by the dblp team
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