Michael Cashmore

JPMorgan Chase & Co (United States) — United States

Computer Science · Physical Sciences

13h-index611citations62works0.22yr avg
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Research Topics

AI-based Problem Solving and Planning(41), Logic, Reasoning, and Knowledge(22), Constraint Satisfaction and Optimization(13), Semantic Web and Ontologies(9), Robotic Path Planning Algorithms(9)

Publications62 total

The Subset Sum Matching Problem
Frontiers in artificial intelligence and applications·2025Open Access
ELATE: Evolutionary Language model for Automated Time-series Engineering
arXiv (Cornell University)·2025Open Access
Hierarchical Seating Allocation (Extended Abstract)
Proceedings of the International Symposium on Combinatorial Search·2025Open Access
Surrogate-Assisted Monte-Carlo Tree Search in Facility Location and Beyond (Extended Abstract)
Proceedings of the International Symposium on Combinatorial Search·2025Open Access
Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels
arXiv (Cornell University)·2025Open Access
Temporal Fairness in Decision Making Problems
Frontiers in artificial intelligence and applications·2024Open Access
Temporal Fairness in Decision Making Problems
arXiv (Cornell University)·2024Open Access
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization
arXiv (Cornell University)·2024· 1 citedOpen Access
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 1 citedOpen Access
Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization
arXiv (Cornell University)·2024Open Access
Table of Contents
2023Open Access
The Cost of Quality of Service: SLA Aware VNF Placement and Routing Using Column Generation
2023
A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract)
2023Open Access
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
arXiv (Cornell University)·2023· 1 citedOpen Access
A Column Generation Approach to Correlated Simple Temporal Networks
Proceedings of the International Conference on Automated Planning and Scheduling·2023Open Access
Joint Chance Constrained Probabilistic Simple Temporal Networks via Column Generation (Extended Abstract)
Proceedings of the International Symposium on Combinatorial Search·2022Open Access
Towards Automatic State Recovery for Replanning
Zenodo (CERN European Organization for Nuclear Research)·2022· 3 citedOpen Access
EgoPlan: A Framework for Multi-Agent Planning Using Single Agent Planners
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference·2022Open Access
A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems
Journal of Artificial Intelligence Research·2022· 20 citedOpen Access
Towards Temporally Uncertain Explainable AI Planning
Lecture notes in computer science·2022
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Frequent Co-authors

Daniele Magazzeni(35), Maria Fox(13), Derek Long(10), Bram Ridder(9), Parisa Zehtabi(9), Senka Krivić(6), Andrea Micheli(5), Manuela Veloso(5), Benjamin Krarup(4), Gerard Canal(3), Bence Cserna(3), Erez Karpas(3), Wheeler Ruml(3), Enrico Giunchiglia(3), Alessandro Cimatti(3), Sándor Szedmák(3), Justus Piater(3), Oscar Lima(3), Andrew Murray(3), Valerio Sanelli(2)