| Jamming transition as a paradigm to understand the loss landscape of deep neural networks M Geiger, S Spigler, S d'Ascoli, L Sagun, M Baity-Jesi, G Biroli, M Wyart Physical Review E 100 (1), 012115, 2019 | 150 | 2019 |
| Comparing dynamics: Deep neural networks versus glassy systems M Baity-Jesi, L Sagun, M Geiger, S Spigler, GB Arous, C Cammarota, ... International Conference on Machine Learning, 314-323, 2018 | 117 | 2018 |
| Critical parameters of the three-dimensional Ising spin glass M Baity-Jesi, RA Baños, A Cruz, LA Fernandez, JM Gil-Narvion, ... Physical Review B 88 (22), 224416, 2013 | 99 | 2013 |
| The Mpemba effect in spin glasses is a persistent memory effect M Baity-Jesi, E Calore, A Cruz, LA Fernandez, JM Gil-Narvión, ... Proceedings of the National Academy of Sciences 116 (31), 15350-15355, 2019 | 73 | 2019 |
| Soft modes, localization, and two-level systems in spin glasses M Baity-Jesi, V Martín-Mayor, G Parisi, S Perez-Gaviro Physical review letters 115 (26), 267205, 2015 | 62 | 2015 |
| Janus II: A new generation application-driven computer for spin-system simulations M Baity-Jesi, RA Baños, A Cruz, LA Fernandez, JM Gil-Narvión, ... Computer Physics Communications 185 (2), 550-559, 2014 | 56 | 2014 |
| Emergent SO(3) Symmetry of the Frictionless Shear Jamming Transition M Baity-Jesi, CP Goodrich, AJ Liu, SR Nagel, JP Sethna Journal of Statistical Physics 167, 735-748, 2017 | 43 | 2017 |
| Matching microscopic and macroscopic responses in glasses M Baity-Jesi, E Calore, A Cruz, LA Fernandez, JM Gil-Narvión, ... Physical review letters 118 (15), 157202, 2017 | 43* | 2017 |
| Aging rate of spin glasses from simulations matches experiments M Baity-Jesi, E Calore, A Cruz, LA Fernandez, JM Gil-Narvion, ... Physical review letters 120 (26), 267203, 2018 | 39 | 2018 |
| Reconfigurable computing for Monte Carlo simulations: Results and prospects of the Janus project M Baity-Jesi, RA Baños, A Cruz, LA Fernández, JM Gil-Narvion, ... The European Physical Journal Special Topics 210, 33-51, 2012 | 38 | 2012 |
| Dynamical transition in the Edwards-Anderson spin glass in an external magnetic field M Baity-Jesi, RA Banos, A Cruz, LA Fernandez, JM Gil-Narvion, ... Physical Review E 89 (3), 032140, 2014 | 37 | 2014 |
| Phase transition in three-dimensional Heisenberg spin glasses with strong random anisotropies through a multi-GPU parallelization M Baity-Jesi, LA Fernandez, V Martín-Mayor, JM Sanz Physical Review B 89 (1), 014202, 2014 | 36 | 2014 |
| A statics-dynamics equivalence through the fluctuation–dissipation ratio provides a window into the spin-glass phase from nonequilibrium measurements M Baity-Jesi, E Calore, A Cruz, LA Fernandez, JM Gil-Narvión, ... Proceedings of the National Academy of Sciences 114 (8), 1838-1843, 2017 | 35 | 2017 |
| Activated aging dynamics and effective trap model description in the random energy model M Baity-Jesi, G Biroli, C Cammarota Journal of Statistical Mechanics: Theory and Experiment 2018 (1), 013301, 2018 | 30 | 2018 |
| The three-dimensional Ising spin glass in an external magnetic field: the role of the silent majority M Baity-Jesi, RA Banos, A Cruz, LA Fernandez, JM Gil-Narvion, ... Journal of Statistical Mechanics: Theory and Experiment 2014 (5), P05014, 2014 | 29 | 2014 |
| Improving hydrologic models for predictions and process understanding using neural ODEs M Höge, A Scheidegger, M Baity-Jesi, C Albert, F Fenicia Hydrology and Earth System Sciences 26 (19), 5085-5102, 2022 | 20 | 2022 |
| Activated dynamics: An intermediate model between the random energy model and the -spin model M Baity-Jesi, A Achard-de Lustrac, G Biroli Physical Review E 98 (1), 012133, 2018 | 20 | 2018 |
| Scaling law describes the spin-glass response in theory, experiments, and simulations Q Zhai, I Paga, M Baity-Jesi, E Calore, A Cruz, LA Fernandez, ... Physical Review Letters 125 (23), 237202, 2020 | 19 | 2020 |
| Differentiable modelling to unify machine learning and physical models for geosciences C Shen, AP Appling, P Gentine, T Bandai, H Gupta, A Tartakovsky, ... Nature Reviews Earth & Environment 4, 552–567, 2023 | 17* | 2023 |
| Predicting chemical hazard across taxa through machine learning J Wu, S D’Ambrosi, L Ammann, J Stadnicka-Michalak, K Schirmer, ... Environment International 163, 107184, 2022 | 15 | 2022 |
Victor Martin-MayorProfessor of theoretical physics (Universidad Complutense de Madrid)Verified email at ucm.es
