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FZ

Francesco Zamponi

cond-mat.dis-nncond-mat.stat-mechcond-mat.softq-bio.BMq-bio.QMquant-phcs.CCq-bio.PEcs.LGecon.GN

On Valency

published · living versions
W_rxe8s48v·v1 · currentpublished
On non-phononic modes and glassy dynamics
with Felix C. Mocanu, Dmytro Khomenko, Matteo Paoluzzi, Giancarlo Ruocco +2
1 version

Preprints & journals

182 papers in the corpus · 2002–2026
On non-phononic modes and glassy dynamics2609.12665v1 · Felix C. Mocanu, Dmytro Khomenko, Matteo Paoluzzi et al.2026 · 0 citationsarXivon Valency
Modeling Protein Evolution with Generative Models: from Extant Sequence Data to Evolutionary Dynamics2606.29529v1 · Matteo Bisardi, Leonardo Di Bari, Saverio Rossi et al.2026 · 1 citationarXiv
Towards coevolution-aware ancestral sequence reconstruction2606.27942v1 · Alya Zeinaty, Leonardo di Bari, Saverio Rossi et al.2026 · 0 citationsarXiv
Towards coevolution-aware ancestral sequence reconstruction10.64898/2026.06.08.731024v1 · Zeinaty, A., Di Bari, L., Rossi, S. et al.2026 · 0 citationsbioRxiv
A proof of an identity for the critical exponents of jamming2606.03300v1 · Giorgio Parisi, Francesco Zamponi2026 · 1 citationJ. Stat. Mech. (2026) 073301
Further testing the validity of generalized heterogeneous-elasticity theory for low-frequency excitations in structural glasses.42493897 · Schirmacher, Walter, Paoluzzi, Matteo, Mocanu, Felix Cosmin et al.2026 · 1 citationPhysical review. E. 2026;113(6-2):065406
Yielding in dense active matter.42493958 · Ghaznavi, Adil, Rossi, Saverio, Zamponi, Francesco et al.2026 · 0 citationsPhysical review. E. 2026;113(6-2):065410
Demonstrating real advantage of machine learning-enhanced Monte Carlo for combinatorial optimization.42101990 · Del Bono, Luca Maria, Ricci-Tersenghi, Federico, Zamponi, Francesco2026 · 0 citationsProceedings of the National Academy of Sciences of the United States of America. 2026;123(19):e2534768123
Expanding functional protein sequence space using high entropy generative models2605.03578v1 · Roberto Netti, Emily Hinds, Francesco Calvanese et al.2026 · 0 citationsarXiv
Transition path sampling in Ising models on heterogeneous graphs2604.18412v2 · Riccardo Cipolloni, Federico Ricci-Tersenghi, Francesco Zamponi2026 · 1 citationJ. Stat. Mech. (2026) 103301
Functional bottlenecks can emerge from non-epistatic underlying traits.41838784 · Schulte, Anna Ottavia, Alqatari, Samar, Rossi, Saverio et al.2026 · 2 citationsPLoS computational biology. 2026;22(3):e1014000
Dreaming improves memorization in a Hopfield model with bounded synaptic strength2603.09384v1 · Enzo Marinari, Saverio Rossi, Francesco Zamponi2026 · 0 citationsarXiv
Rare trajectories in a prototypical mean-field disordered model: Insights into landscape and instantons.41998904 · Charbonneau, Patrick, Folena, Giampaolo, Malatesta, Enrico M et al.2026 · 1 citationPhysical review. E. 2026;113(3-1):034107
Modeling Protein Evolution via Generative Inference From Monte Carlo Chains to Population Genetics2602.08641v1 · Leonardo Di Bari, Thierry Mora, Andrea Pagnani et al.2026 · 1 citationarXiv
adabmDCA 2.0-A Flexible but Easy-to-Use Package for Direct Coupling Analysis.41174308 · Rosset, Lorenzo, Netti, Roberto, Muntoni, Anna Paola et al.2025 · 3 citationsMethods in molecular biology (Clifton, N.J.). 2026;2979:83-104
Author Correction: Exploring the space of self-reproducing ribozymes using generative models.41413048 · Lambert, Camille N, Opuu, Vaitea, Calvanese, Francesco et al.2025 · 0 citationsNature communications. 2025;16(1):11202
Performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models.41250364 · Del Bono, Luca Maria, Ricci-Tersenghi, Federico, Zamponi, Francesco2025 · 4 citationsPhysical review. E. 2025;112(4-2):045307
Exploring the space of self-reproducing ribozymes using generative models.40846705 · Lambert, Camille N, Opuu, Vaitea, Calvanese, Francesco et al.2025 · 11 citationsNature communications. 2025;16(1):7836
From Scarce Functional Labels to Label-Aware Generation in Homologous Protein Families2507.15651v2 · Lorenzo Rosset, Martin Weigt, Francesco Zamponi2025 · 1 citationMachine Learning: Science and Technology 7, 055050 (2026)
Fluctuations and the limit of predictability in protein evolution.40592352 · Rossi, Saverio, Di Bari, Leonardo, Weigt, Martin et al.2025 · 5 citationsReports on progress in physics. Physical Society (Great Britain). 2025;88(7)
Functional bottlenecks can emerge from non-epistatic underlying traits2505.14166v2 · Anna Ottavia Schulte, Samar Alqatari, Saverio Rossi et al.2025 · 2 citationsarXiv
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks2410.06717v4 · Brandon L. Annesi, Enrico M. Malatesta, Francesco Zamponi2024 · 10 citationsSciPost Phys. 18, 118 (2025)
Understanding epistatic networks in the B1 β-lactamases through coevolutionary statistical modeling and deep mutational scanning.39349467 · Chen, J Z, Bisardi, M, Lee, D et al.2024 · 18 citationsNature communications. 2024;15(1):8441
Emergent time scales of epistasis in protein evolution.39325427 · Di Bari, Leonardo, Bisardi, Matteo, Cotogno, Sabrina et al.2024 · 29 citationsProceedings of the National Academy of Sciences of the United States of America. 2024;121(40):e2406807121
Ductile-to-brittle transition and yielding in soft amorphous materials: perspectives and open questions.39028363 · Divoux, Thibaut, Agoritsas, Elisabeth, Aime, Stefano et al.2024 · 47 citationsSoft matter. 2024;20(35):6868-6888
Expanding the space of self-reproducing RNAs using probabilistic generative models10.1101/2024.07.31.605758v2 · Lambert, C. N., Opuu, V., Calvanese, F. et al.2024 · 2 citationsbioRxiv
Nearest-Neighbours Neural Network architecture for efficient sampling of statistical physics models2407.19483v2 · Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi2024 · 1 citationMach. Learn.: Sci. Technol. 6, 025029 (2025)
Towards parsimonious generative modeling of RNA families.38661206 · Calvanese, Francesco, Lambert, Camille N, Nghe, Philippe et al.2024 · 11 citationsNucleic acids research. 2024;52(10):5465-5477
The nature of non-phononic excitations in disordered systems.38600083 · Schirmacher, Walter, Paoluzzi, Matteo, Mocanu, Felix Cosmin et al.2024 · 23 citationsNature communications. 2024;15(1):3107
Scaling regimes and fluctuations of observables in computer glasses approaching the unjamming transition.38226824 · Giannini, Julia A, Lerner, Edan, Zamponi, Francesco et al.2024 · 7 citationsThe Journal of chemical physics. 2024;160(3)
Yielding and plasticity in amorphous solids2401.09385v1 · Ludovic Berthier, Giulio Biroli, M. Lisa Manning et al.2024 · 32 citationsNature Reviews Physics 7, 313-330 (2025)
Roadmap on machine learning glassy dynamics2311.14752v2 · Gerhard Jung, Rinske M. Alkemade, Victor Bapst et al.2023 · 45 citationsNat. Rev. Phys. 7, 91 (2025)
Unlearning regularization for Boltzmann Machines2311.09418v3 · Enrico Ventura, Simona Cocco, R'emi Monasson et al.2023 · 6 citationsMachine Learning: Science and Technology 5, 025078 (2024)
Creating equilibrium glassy states via random particle bonding2311.08079v1 · Misaki Ozawa, Jean-Louis Barrat, Walter Kob et al.2023 · 8 citationsJ. Stat. Mech. (2024) 013303
Finding defects in glasses through machine learning.37454138 · Ciarella, Simone, Khomenko, Dmytro, Berthier, Ludovic et al.2023 · 35 citationsNature communications. 2023;14(1):4229
Post-COVID Inflation & the Monetary Policy Dilemma: An Agent-Based Scenario Analysis2306.01284v4 · Max Sina Knicker, Karl Naumann-Woleske, Jean-Philippe Bouchaud et al.2023 · 22 citationsJournal of Economic Interaction and Coordination 20, 141 (2025)
On weak ergodicity breaking in mean-field spin glasses2303.00026v3 · Giampaolo Folena, Francesco Zamponi2023 · 21 citationsSciPost Phys. 15, 109 (2023)
Microscopic observation of two-level systems in a metallic glass model.36610958 · Mocanu, Felix C, Berthier, Ludovic, Ciarella, Simone et al.2023 · 14 citationsThe Journal of chemical physics. 2023;158(1):014501
Creating bulk ultrastable glasses by random particle bonding.36611023 · Ozawa, Misaki, Iwashita, Yasutaka, Kob, Walter et al.2023 · 29 citationsNature communications. 2023;14(1):113
Finite-Disorder Critical Point in the Yielding Transition of Elastoplastic Models.36493446 · Rossi, Saverio, Biroli, Giulio, Ozawa, Misaki et al.2022 · 27 citationsPhysical review letters. 2022;129(22):228002
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems2210.11145v3 · Simone Ciarella, Jeanne Trinquier, Martin Weigt et al.2022 · 30 citationsMachine Learning: Science and Technology 4, 010501 (2023)
Equilibrium fluctuations in mean-field disordered models.36109887 · Folena, Giampaolo, Biroli, Giulio, Charbonneau, Patrick et al.2022 · 13 citationsPhysical review. E. 2022;106(2-1):024605
Local Dynamical Heterogeneity in Simple Glass Formers.35570461 · Biroli, Giulio, Charbonneau, Patrick, Folena, Giampaolo et al.2022 · 21 citationsPhysical review letters. 2022;128(17):175501
Author Correction: Efficient generative modeling of protein sequences using simple autoregressive models.35365680 · Trinquier, Jeanne, Uguzzoni, Guido, Pagnani, Andrea et al.2022 · 0 citationsNature communications. 2022;13(1):1889
Supervised perceptron learning vs unsupervised Hebbian unlearning: Approaching optimal memory retrieval in Hopfield-like networks.35291790 · Benedetti, Marco, Ventura, Enrico, Marinari, Enzo et al.2022 · 23 citationsThe Journal of chemical physics. 2022;156(10):104107
Introduction to the dynamics of disordered systems: equilibrium and gradient descent2202.02413v1 · Giampaolo Folena, Alessandro Manacorda, Francesco Zamponi2022 · 10 citationsPhysica A 631, 128152 (2023)
Modeling Sequence-Space Exploration and Emergence of Epistatic Signals in Protein Evolution.34751386 · Bisardi, Matteo, Rodriguez-Rivas, Juan, Zamponi, Francesco et al.2022 · 54 citationsMolecular biology and evolution. 2022;39(1)
Career total: 496 works. 182 are in this corpus.Showing the 50 most recent.

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