| Critical jammed phase of the linear perceptron S Franz, A Sclocchi, P Urbani Physical review letters 123 (11), 115702, 2019 | 48 | 2019 |
| A phase transition in diffusion models reveals the hierarchical nature of data A Sclocchi, A Favero, M Wyart Proceedings of the National Academy of Sciences 122 (1), e2408799121, 2025 | 27 | 2025 |
| Topology of a dissipative spin: Dynamical Chern number, bath-induced nonadiabaticity, and a quantum dynamo effect L Henriet, A Sclocchi, PP Orth, K Le Hur Physical Review B 95 (5), 054307, 2017 | 21 | 2017 |
| Surfing on minima of isostatic landscapes: avalanches and unjamming transition S Franz, A Sclocchi, P Urbani Journal of Statistical Mechanics: Theory and Experiment 2021 (2), 023208, 2021 | 19 | 2021 |
| Critical energy landscape of linear soft spheres S Franz, A Sclocchi, P Urbani SciPost Physics 9 (1), 012, 2020 | 18 | 2020 |
| On the different regimes of stochastic gradient descent A Sclocchi, M Wyart Proceedings of the National Academy of Sciences 121 (9), e2316301121, 2024 | 15 | 2024 |
| Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data UM Tomasini, A Sclocchi, M Wyart International Conference on Machine Learning, 21548-21583, 2022 | 13 | 2022 |
| High-dimensional optimization under nonconvex excluded volume constraints A Sclocchi, P Urbani Physical Review E 105 (2), 024134, 2022 | 13 | 2022 |
| Could ChatGPT get an engineering degree? Evaluating higher education vulnerability to AI assistants B Borges, N Foroutan, D Bayazit, A Sotnikova, S Montariol, T Nazaretzky, ... Proceedings of the National Academy of Sciences 121 (49), e2414955121, 2024 | 7 | 2024 |
| Dissecting the effects of SGD noise in distinct regimes of deep learning A Sclocchi, M Geiger, M Wyart International Conference on Machine Learning, 30381-30405, 2023 | 6 | 2023 |
| Proliferation of non-linear excitations in the piecewise-linear perceptron A Sclocchi, P Urbani SciPost Physics 10 (1), 013, 2021 | 6 | 2021 |
| Probing the latent hierarchical structure of data via diffusion models A Sclocchi, A Favero, NI Levi, M Wyart arXiv preprint arXiv:2410.13770, 2024 | 3 | 2024 |
| Failure and success of the spectral bias prediction for kernel ridge regression: the case of low-dimensional data UM Tomasini, A Sclocchi, M Wyart arXiv preprint arXiv:2202.03348, 2022 | 3 | 2022 |
| How compositional generalization and creativity improve as diffusion models are trained A Favero, A Sclocchi, F Cagnetta, P Frossard, M Wyart arXiv preprint arXiv:2502.12089, 2025 | | 2025 |
| How SGD noise affects performance in distinct regimes of deep learning A Sclocchi, M Geiger, M Wyart APS March Meeting Abstracts 2023, F02. 003, 2023 | | 2023 |
| A new critical phase in jammed models: jamming is even cooler than before A Sclocchi Université Paris-Saclay, 2020 | | 2020 |
| Critical jammed phase of the linear perceptron above saturation S Franz, A Sclocchi, P Urbani arXiv preprint arXiv:1902.08243, 2019 | | 2019 |
| Unraveling the Latent Hierarchical Structure of Language and Images via Diffusion Models A Sclocchi, NI Levi, A Favero, M Wyart NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning, 0 | | |
Matthieu WyartProfessor of Physics, Johns HopkinsBestätigte E-Mail-Adresse bei epfl.ch
