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Francesco Zamponi

sapienza university rome

49H-index
284Paper Count
7.8KCitation Count
Published Papers 50
Publication Date
Author Correction: Exploring the space of self-reproducing ribozymes using generative models
err2025-12-18
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errOAAI
errCamille N. Lambert; Vaitea Opuu; Francesco Calvanese; Polina Pavlinova; Francesco Zamponi; Eric J. Hayden; Martin Weigt; Matteo Smerlak; Philippe Nghe
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Performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models
err2025-10-07
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errOAAI
errDel Bono, Luca Maria; Ricci-Tersenghi, Federico; Zamponi, Francesco
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Exploring the space of self-reproducing ribozymes using generative models
err2025-08-22
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errOAAI
errCamille N. Lambert; Vaitea Opuu; Francesco Calvanese; Polina Pavlinova; Francesco Zamponi; Eric J. Hayden; Martin Weigt; Matteo Smerlak; Philippe Nghe
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Fluctuations and the limit of predictability in protein evolution
err2025-07-09
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PREAI
errSaverio Rossi; Leonardo Di Bari; Martin Weigt; Francesco Zamponi
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Yielding and plasticity in amorphous solids
err2025-05-19
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errOAAI
errLudovic Berthier; Giulio Biroli; Lisa Manning; Francesco Zamponi
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Understanding epistatic networks in the B1 β-lactamases through coevolutionary statistical modeling and deep mutational scanning
err2024-09-30
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errOAAI
errChen, J. Z.; Bisardi, M.; Lee, D.; Cotogno, S.; Zamponi, F.; Weigt, M.; Tokuriki, N.
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Emergent time scales of epistasis in protein evolution
err2024-09-26
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errOAAI
errDibari, Leonardo; Bisardi, Matteo; Cotogno, Sabrina; Weigt, Martin; Zamponi, Francesco
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Unlearning regularization for Boltzmann machines
err2024-06-27
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errOAAI
errVentura, Enrico; Cocco, Simona; Monasson, Remi; Zamponi, Francesco
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Towards parsimonious generative modeling of RNA families
err2024-04-25
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errOAAI
errCalvanese, Francesco; Lambert, Camille N.; Nghe, Philippe; Zamponi, Francesco; Weigt, Martin
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The nature of non-phononic excitations in disordered systems
err2024-04-10
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errOAAI
errSchirmacher, Walter; Paoluzzi, Matteo; Mocanu, Felix Cosmin; Khomenko, Dmytro; Szamel, Grzegorz; Zamponi, Francesco; Ruocco, Giancarlo
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Finding defects in glasses through machine learning
err2023-07-15
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errOAAI
errCiarella, Simone; Khomenko, Dmytro; Berthier, Ludovic; Mocanu, Felix C.; Reichman, David R.; Scalliet, Camille; Zamponi, Francesco
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Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems
err2023-03-14
err19
errOAAI
errCiarella, Simone; Trinquier, Jeanne; Weigt, Martin; Zamponi, Francesco
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Creating bulk ultrastable glasses by random particle bonding
err2023-01-07
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errOAAI
errOzawa, Misaki; Iwashita, Yasutaka; Kob, Walter; Zamponi, Francesco
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Microscopic observation of two-level systems in a metallic glass model
err2023-01-03
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errOAAI
errMocanu, Felix C. C.; Berthier, Ludovic; Ciarella, Simone; Khomenko, Dmytro; Reichman, David R. R.; Scalliet, Camille; Zamponi, Francesco
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Efficient generative modeling of protein sequences using simple autoregressive models (vol 12, pg 5800, 2021)
err2022-04-01
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errOAAI
errTrinquier, Jeanne; Uguzzoni, Guido; Pagnani, Andrea; Zamponi, Francesco; Weigt, Martin
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Supervised perceptron learning vs unsupervised Hebbian unlearning: Approaching optimal memory retrieval in Hopfield-like networks
err2022-03-11
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errOAAI
errBenedetti, Marco; Ventura, Enrico; Marinari, Enzo; Ruocco, Giancarlo; Zamponi, Francesco
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Modeling Sequence-Space Exploration and Emergence of Epistatic Signals in Protein Evolution
err2021-11-09
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errOAAI
errBisardi, Matteo; Rodriguez-Rivas, Juan; Zamponi, Francesco; Weigt, Martin
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