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cs.LG2026
An exact information theory of generalization phase transitions in Bayesian diffusion models
Henry Hunt, Mason Kamb, Surya Ganguli
How diffusion models circumvent the curse of dimensionality to learn complex distributions over high dimensional spaces from a finite training set, instead of memorizing it, remain…
cs.LG2025
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
Haining Pan, James V. Roggeveen, Erez Berg +16
Large language models (LLMs) have shown remarkable progress in coding and math problem-solving, but evaluation on advanced research-level problems in hard sciences remains scarce.…
cs.LG2024
An analytic theory of creativity in convolutional diffusion models
Mason Kamb, Surya Ganguli
We obtain an analytic, interpretable and predictive theory of creativity in convolutional diffusion models. Indeed, score-matching diffusion models can generate highly original ima…