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2025
09-17
Replica in Double Decent
2024
11-07
A law of data separation in deep learning
08-25
Injectivity of ReLU networks (perspectives from statistical physics)
08-21
Machine learning renormalization group for statistical physics
07-09
Analytic and Algorithmic Solution of Random Satisfiability Problems
07-03
Replica in Random Matrix
06-11
Neural Combiantorial Optimization with Reinforcement Learning
06-11
Reinforcement Learning for Solving the Vehicle Routing Problem
06-05
Pointer Networks
06-03
Learning to Perform Local Rewriting for Combinatorial Optimization
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