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Entropy-SGD: biasing gradient descent into wide valleys
Chaudhari, Pratik, Choromanska, Anna, Soatto, Stefano, LeCun, Yann, Baldassi, Carlo, Borgs, Christian, Chayes, Jennifer, Sagun, Levent, Zecchina, Riccardo
Published in Journal of statistical mechanics (01.12.2019)
Published in Journal of statistical mechanics (01.12.2019)
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Scaling description of generalization with number of parameters in deep learning
Geiger, Mario, Jacot, Arthur, Spigler, Stefano, Gabriel, Franck, Sagun, Levent, d'Ascoli, Stéphane, Biroli, Giulio, Hongler, Clément, Wyart, Matthieu
Published in Journal of statistical mechanics (05.02.2020)
Published in Journal of statistical mechanics (05.02.2020)
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Deep learning for physical processes: incorporating prior scientific knowledge
de Bézenac, Emmanuel, Pajot, Arthur, Gallinari, Patrick
Published in Journal of statistical mechanics (01.12.2019)
Published in Journal of statistical mechanics (01.12.2019)
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Introduction to the Special Issue on Emergent Hydrodynamics in Integrable Many-Body Systems
Bastianello, Alvise, Bertini, Bruno, Doyon, Benjamin, Vasseur, Romain
Published in Journal of statistical mechanics (01.01.2022)
Published in Journal of statistical mechanics (01.01.2022)
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Quasilocal charges in integrable lattice systems
Ilievski, Enej, Medenjak, Marko, Prosen, Toma, Zadnik, Lenart
Published in Journal of statistical mechanics (27.06.2016)
Published in Journal of statistical mechanics (27.06.2016)
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Prethermalization and universal dynamics in near-integrable quantum systems
Langen, Tim, Gasenzer, Thomas, Schmiedmayer, Jörg
Published in Journal of statistical mechanics (01.06.2016)
Published in Journal of statistical mechanics (01.06.2016)
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Run-and-tumble motion in a harmonic potential: field theory and entropy production
Garcia-Millan, Rosalba, Pruessner, Gunnar
Published in Journal of statistical mechanics (01.06.2021)
Published in Journal of statistical mechanics (01.06.2021)
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Introduction to 'Quantum Integrability in Out of Equilibrium Systems'
Calabrese, Pasquale, Essler, Fabian H L, Mussardo, Giuseppe
Published in Journal of statistical mechanics (27.06.2016)
Published in Journal of statistical mechanics (27.06.2016)
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Disentangling feature and lazy training in deep neural networks
Geiger, Mario, Spigler, Stefano, Jacot, Arthur, Wyart, Matthieu
Published in Journal of statistical mechanics (01.11.2020)
Published in Journal of statistical mechanics (01.11.2020)
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Nonstationary distributions and relaxation times in a stochastic model of memristor
Agudov, N V, Safonov, A V, Krichigin, A V, Kharcheva, A A, Dubkov, A A, Valenti, D, Guseinov, D V, Belov, A I, Mikhaylov, A N, Carollo, A, Spagnolo, B
Published in Journal of statistical mechanics (01.02.2020)
Published in Journal of statistical mechanics (01.02.2020)
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Symmetry resolved entanglement in two-dimensional systems via dimensional reduction
Murciano, Sara, Ruggiero, Paola, Calabrese, Pasquale
Published in Journal of statistical mechanics (03.08.2020)
Published in Journal of statistical mechanics (03.08.2020)
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Augmenting physical models with deep networks for complex dynamics forecasting
Yin, Yuan, Le Guen, Vincent, Dona, Jérémie, de Bézenac, Emmanuel, Ayed, Ibrahim, Thome, Nicolas, Gallinari, Patrick
Published in Journal of statistical mechanics (01.12.2021)
Published in Journal of statistical mechanics (01.12.2021)
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