Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Unsupervised Learning for Solving the Travelling Salesman Problem.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Efficiently Approximating High-Dimensional Pareto Frontiers for Tree-Structured Networks Using Expansion and Compression.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023
Automating crystal-structure phase mapping by combining deep learning with constraint reasoning.
Nat. Mach. Intell., 2021
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning.
CoRR, 2021
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems.
CoRR, 2021
Fairness of Exposure in Stochastic Bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021
CLR-DRNets: Curriculum Learning with Restarts to Solve Visual Combinatorial Games.
Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning.
Proceedings of the 37th International Conference on Machine Learning, 2020
Deep Reasoning Networks: Thinking Fast and Slow.
CoRR, 2019
A Study of AI Population Dynamics with Million-agent Reinforcement Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network.
CoRR, 2017
An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning.
CoRR, 2017