Author

J. Sous

h-index 17 View on Semantic Scholar

We have 3 of 93 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Review Sep 2026

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

Low reported scores on leading physics benchmarks, including those featured in the Artificial Analysis Intelligence Index (2026), suggest that frontier language models still struggle with advanced physics, a demanding test of their scientific reasoning and quantitative problem-solving abilities. Yet this impression doe...

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

Joint-Embedding Predictive Architecture (JEPA) world models learn a compact latent representation of the world that supports prediction and planning, but their capability to learn physics and generate physically realistic dynamics remains hitherto untested. In this work, we introduce SemiGroup-JEPA (SG-JEPA), which ext...

Andy Zeyi Liu, Hao-Ran Sun, L. Baker et al. · 1 citation

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. · 1 citation · ⚡1