Yiwei Bai

According to our database1, Yiwei Bai authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
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

2023
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

2021
Automating crystal-structure phase mapping by combining deep learning with constraint reasoning.
Nat. Mach. Intell., 2021

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 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

2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
CoRR, 2020

Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Deep Reasoning Networks: Thinking Fast and Slow.
CoRR, 2019

2018
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

2017
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


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