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stat.ML2026
Sharp description of local minima in the loss landscape of high-dimensional two-layer ReLU neural networks
Jie Huang, Bruno Loureiro, Stefano Sarao Mannelli
We study the population loss landscape of two-layer ReLU networks of the form in a realisable teacher-student setting with Gaussian covaria…
stat.ML2026
A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models
Leonardo Defilippis, Florent Krzakala, Bruno Loureiro +1
Understanding when learning is statistically possible yet computationally hard is a central challenge in high-dimensional statistics. In this work, we investigate this question in…