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J. Sous

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Preprint Aug 2026

Finite-temperature Green's function cluster expansion from thermofield doubles: Breakdown of the polaron picture

We introduce a method, numerically exact in principle, for computing the momentum- and frequency-resolved single-particle Green's function of a polaron at finite temperature. The method, which we refer to as the finite-temperature Green's function cluster expansion, combines two ingredients: the generalized Green's fun...

M. R. Carbone, Stepan Fomichev, Benedikt Kloss et al. · 1 citation
#artificial intelligence Review Sep 2026

How Good Are Frontier Models at Physics? Expert Re-Grading Reveals Broken Evaluations and Near-Saturation of Leading Benchmarks

Evaluating frontier models on six widely used physics benchmarks and auditing them with experts suggests that current benchmarks substantially understate frontier models'ability to solve well-posed physics problems.

Ali Ansari, Hao-Ran Sun, Andy Zeyi Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization

SemiGroup-JEPA (SG-JEPA), which extends the LeWorldModel framework by supplying the parameter governing the physics to the temporal model via action-conditioning and jointly training an encoder and predictor through an autoregressive latent rollout, is introduced.

A. Liu, Hao-Ran Sun, L. Baker et al. · 5 citations
Preprint Aug 2026

Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime

This work develops a generative counterpart to the theory of benign overfitting and algorithmic regularization for overparameterized neural networks in the supervised lazy-training regime by studying denoising score matching in a vector-valued reproducing kernel Hilbert space with an inner-product kernel.

Hugo Latourelle-Vigeant, Sinho Chewi, Aram-Alexandre Pooladian et al. · 2 citations · ⚡1

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