Riccardo Zecchina

88 papers A* 2A 1B 3Misc 1Journal 75Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Controlled Langevin Dynamics for Sampling of Feedforward Neural Networks Trained with Minibatches. CoRR Alessandro Zambon, Francesca Caruso, Riccardo Zecchina, Guido Tiana
2025	J	`jnl`	Are Neural Networks Collision Resistant? CoRR Marco Benedetti, Andrej Bogdanov, Enrico M. Malatesta, Marc Mézard, Gianmarco Perrupato, Alon Rosen, Nikolaj I. Schwartzbach, Riccardo Zecchina
2025	J	`jnl`	Are Neural Networks Collision Resistant? IACR Cryptol. ePrint Arch. Marco Benedetti, Andrej Bogdanov, Enrico M. Malatesta, Marc Mézard, Gianmarco Perrupato, Alon Rosen, Nikolaj I. Schwartzbach, Riccardo Zecchina
2025	J	`jnl`	Dynamical Learning in Deep Asymmetric Recurrent Neural Networks. CoRR Davide Badalotti, Carlo Baldassi, Marc Mézard, Mattia Scardecchia, Riccardo Zecchina
2025	J	`jnl`	Obituary for Luca Trevisan. Bull. EATCS Andrea Clementi, Venkatesan Guruswami, Kristin Kane, Alon Rosen, Nikhil Srivastava, Salil P. Vadhan, Riccardo Zecchina
2023	J	`jnl`	Typical and atypical solutions in non-convex neural networks with discrete and continuous weights. CoRR Carlo Baldassi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina
2022	A*	`conf`	Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. ICML Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina
2022	J	`jnl`	Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. CoRR Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina
2022	J	`jnl`	Deep learning via message passing algorithms based on belief propagation. Mach. Learn. Sci. Technol. Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina
2021	J	`jnl`	Deep learning via message passing algorithms based on belief propagation. CoRR Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina
2021	A*	`conf`	Entropic gradient descent algorithms and wide flat minima. ICLR Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina
2021	J	`jnl`	Learning through atypical "phase transitions" in overparameterized neural networks. CoRR Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Rosalba Pacelli, Gabriele Perugini, Riccardo Zecchina
2021	J	`jnl`	Quantum Approximate Optimization Algorithm applied to the binary perceptron. CoRR Pietro Torta, Glen B. Mbeng, Carlo Baldassi, Riccardo Zecchina, Giuseppe E. Santoro
2021	J	`jnl`	Unveiling the structure of wide flat minima in neural networks. CoRR Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina
2020	J	`jnl`	Entropic gradient descent algorithms and wide flat minima. CoRR Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Enrico M. Malatesta, Gabriele Perugini, Carlo Baldassi, Matteo Negri, Elizaveta Demyanenko, Riccardo Zecchina
2020	J	`jnl`	Shaping the learning landscape in neural networks around wide flat minima. Proc. Natl. Acad. Sci. USA Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina
2020	J	`jnl`	Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures. CoRR Carlo Baldassi, Enrico M. Malatesta, Matteo Negri, Riccardo Zecchina
2019	J	`jnl`	Natural representation of composite data with replicated autoencoders. CoRR Matteo Negri, Davide Bergamini, Carlo Baldassi, Riccardo Zecchina, Christoph Feinauer
2019	J	`jnl`	On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations. CoRR Carlo Baldassi, Enrico M. Malatesta, Riccardo Zecchina
2019	J	`jnl`	Shaping the learning landscape in neural networks around wide flat minima. CoRR Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina
2018	J	`jnl`	Efficiency of quantum vs. classical annealing in nonconvex learning problems. Proc. Natl. Acad. Sci. USA Carlo Baldassi, Riccardo Zecchina
2017	J	`jnl`	Efficiency of quantum versus classical annealing in non-convex learning problems. CoRR Carlo Baldassi, Riccardo Zecchina
2017	—	`conf`	Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. ICLR (Poster) Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina
2017	J	`jnl`	On the role of synaptic stochasticity in training low-precision neural networks. CoRR Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina
2017	J	`jnl`	Parle: parallelizing stochastic gradient descent. CoRR Pratik Chaudhari, Carlo Baldassi, Riccardo Zecchina, Stefano Soatto, Ameet Talwalkar
2016	J	`jnl`	Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. CoRR Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina
2016	J	`jnl`	Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles. CoRR Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina
2016	J	`jnl`	Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes. Proc. Natl. Acad. Sci. USA Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina
2015	J	`jnl`	A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks. PLoS Comput. Biol. Alireza Alemi, Carlo Baldassi, Nicolas Brunel, Riccardo Zecchina
2014	Misc	`conf`	Sharing Information to Reconstruct Patient-Specific Pathways in Heterogeneous Diseases. Pacific Symposium on Biocomputing Anthony Gitter, Alfredo Braunstein, Andrea Pagnani, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina, Ernest Fraenkel
2013	J	`jnl`	Bayesian inference of epidemics on networks via Belief Propagation. CoRR Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta, Alejandro Lage-Castellanos, Riccardo Zecchina
2013	J	`jnl`	Containing epidemic outbreaks by message-passing techniques. CoRR Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta, Joseph R. Wakeling, Riccardo Zecchina
2013	J	`jnl`	On the performance of a cavity method based algorithm for the Prize-Collecting Steiner Tree Problem on graphs. CoRR Indaco Biazzo, Alfredo Braunstein, Riccardo Zecchina
2013	J	`jnl`	Perturbation Biology: Inferring Signaling Networks in Cellular Systems. PLoS Comput. Biol. Evan J. Molinelli, Anil Korkut, Weiqing Wang, Martin L. Miller, Nicholas Paul Gauthier, Xiaohong Jing, Poorvi Kaushik, Qin He, Gordon B. Mills, David B. Solit, Christine A. Pratilas, Martin Weigt, Alfredo Braunstein, Andrea Pagnani, Riccardo Zecchina, Chris Sander
2013	J	`jnl`	Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons. PLoS Comput. Biol. Carlo Baldassi, Alireza Alemi-Neissi, Marino Pagan, James J. DiCarlo, Riccardo Zecchina, Davide Zoccolan
2013	J	`jnl`	Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem. J. Comput. Biol. Nurcan Tuncbag, Alfredo Braunstein, Andrea Pagnani, Shao-Shan Carol Huang, Jennifer T. Chayes, Christian Borgs, Riccardo Zecchina, Ernest Fraenkel
2013	J	`jnl`	Stochastic Optimization of Service Provision with Selfish Users. CoRR Fabrizio Altarelli, Alfredo Braunstein, Carla-Fabiana Chiasserini, Luca Dall'Asta, Paolo Giaccone, Emilio Leonardi, Riccardo Zecchina
2013	—	`conf`	Stochastic optimization of service provision with selfish users. ICC Workshops Fabrizio Altarelli, Alfredo Braunstein, Carla-Fabiana Chiasserini, Luca Dall'Asta, Paolo Giaccone, Emilio Leonardi, Riccardo Zecchina
2012	J	`jnl`	Message passing for quantified Boolean formulas CoRR Pan Zhang, Abolfazl Ramezanpour, Lenka Zdeborová, Riccardo Zecchina
2012	B	`conf`	Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem. RECOMB Nurcan Tuncbag, Alfredo Braunstein, Andrea Pagnani, Shao-Shan Carol Huang, Jennifer T. Chayes, Christian Borgs, Riccardo Zecchina, Ernest Fraenkel
2012	J	`jnl`	The Spread Optimization Problem CoRR Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta, Riccardo Zecchina
2011	J	`jnl`	3D Protein Structure Predicted from Sequence CoRR Debora S. Marks, Lucy J. Colwell, Robert P. Sheridan, Thomas A. Hopf, Andrea Pagnani, Riccardo Zecchina, Chris Sander
2011	J	`jnl`	Belief Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions. SIAM J. Discret. Math. Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina
2011	J	`jnl`	Efficient data compression from statistical physics of codes over finite fields CoRR Alfredo Braunstein, Farbod Kayhan, Riccardo Zecchina
2011	J	`jnl`	Finding undetected protein associations in cell signaling by belief propagation CoRR Marc Bailly-Bechet, Christian Borgs, Alfredo Braunstein, Jennifer T. Chayes, A. Dagkessamanskaia, J.-M. François, Riccardo Zecchina
2011	J	`jnl`	Statistical physics approach to graphical games: local and global interactions CoRR Abolfazl Ramezanpour, John Realpe-Gomez, Riccardo Zecchina
2011	J	`jnl`	Stochastic optimization by message passing CoRR Fabrizio Altarelli, Alfredo Braunstein, Abolfazl Ramezanpour, Riccardo Zecchina
2010	J	`jnl`	Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach. BMC Bioinform. Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pagnani, Martin Weigt, Riccardo Zecchina
2009	—	`conf`	A Prize-Collecting Steiner Tree Approach for Transduction Network Inference. CMSB Marc Bailly-Bechet, Alfredo Braunstein, Riccardo Zecchina
2009	J	`jnl`	A rigorous analysis of the cavity equations for the minimum spanning tree CoRR Mohsen Bayati, Alfredo Braunstein, Riccardo Zecchina
2009	J	`jnl`	Aligning graphs and finding substructures by message passing CoRR S. Bradde, Alfredo Braunstein, H. Mahmoudi, F. Tria, Martin Weigt, Riccardo Zecchina
2009	J	`jnl`	Clustering with shallow trees CoRR Marc Bailly-Bechet, S. Bradde, Alfredo Braunstein, Abraham D. Flaxman, L. Foini, Riccardo Zecchina
2009	J	`jnl`	Efficient LDPC Codes over GF(q) for Lossy Data Compression CoRR Alfredo Braunstein, Farbod Kayhan, Riccardo Zecchina
2009	B	`conf`	Efficient LDPC codes over GF(q) for lossy data compression. ISIT Alfredo Braunstein, Riccardo Zecchina, Farbod Kayhan
2009	J	`jnl`	Statistical mechanics of budget-constrained auctions CoRR Fabrizio Altarelli, Alfredo Braunstein, John Realpe-Gomez, Riccardo Zecchina
2008	J	`jnl`	Entropy landscape and non-Gibbs solutions in constraint satisfaction problems CoRR Luca Dall'Asta, Abolfazl Ramezanpour, Riccardo Zecchina
2008	J	`jnl`	Pairs of SAT-assignments in random Boolean formulæ. Theor. Comput. Sci. Hervé Daudé, Marc Mézard, Thierry Mora, Riccardo Zecchina
2008	J	`jnl`	Viable flux distribution in metabolic networks. Networks Heterog. Media Ginestra Bianconi, Riccardo Zecchina
2007	J	`jnl`	Belief-Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions CoRR Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina
2007	J	`jnl`	Efficient supervised learning in networks with binary synapses CoRR Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel, Riccardo Zecchina
2007	J	`jnl`	Efficient supervised learning in networks with binary synapses. Proc. Natl. Acad. Sci. USA Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel, Riccardo Zecchina
2007	J	`jnl`	Encoding for the Blackwell Channel with Reinforced Belief Propagation CoRR Alfredo Braunstein, Farbod Kayhan, Guido Montorsi, Riccardo Zecchina
2007	B	`conf`	Encoding for the Blackwell Channel with Reinforced Belief Propagation. ISIT Alfredo Braunstein, Farbod Kayhan, Guido Montorsi, Riccardo Zecchina
2006	—	`ch.`	Constraint Satisfaction by Survey Propagation. Computational Complexity and Statistical Physics Alfredo Braunstein, Marc Mézard, Martin Weigt, Riccardo Zecchina
2006	J	`jnl`	Threshold values of random Random Struct. Algorithms Stephan Mertens, Marc Mézard, Riccardo Zecchina
2005	J	`jnl`	Clustering of solutions in the random satisfiability problem CoRR Marc Mézard, Thierry Mora, Riccardo Zecchina
2005	—	`conf`	Construction and VHDL Implementation of a Fully Local Network with Good Reconstruction Properties of the Inputs. IWINAC (2) Joël Chavas, Demian Battaglia, Andres Cicuttin, Riccardo Zecchina
2005	J	`jnl`	Learning by message-passing in networks of discrete synapses CoRR Alfredo Braunstein, Riccardo Zecchina
2005	J	`jnl`	Pairs of SAT Assignment in Random Boolean Formulae CoRR Hervé Daudé, Marc Mézard, Thierry Mora, Riccardo Zecchina
2005	J	`jnl`	Survey propagation: An algorithm for satisfiability. Random Struct. Algorithms Alfredo Braunstein, Marc Mézard, Riccardo Zecchina
2003	J	`jnl`	Are financial markets efficient? Phase transition in the aggregation of information. Complex. Johannes Berg, Matteo Marsili, Aldo Rustichini, Riccardo Zecchina
2003	J	`jnl`	Survey Propagation as local equilibrium equations CoRR Alfredo Braunstein, Riccardo Zecchina
2003	A	`conf`	Survey and Belief Propagation on Random K-SAT. SAT Alfredo Braunstein, Riccardo Zecchina
2003	J	`jnl`	Threshold values of Random K-SAT from the cavity method CoRR Stephan Mertens, Marc Mézard, Riccardo Zecchina
2002	J	`jnl`	Alternative solutions to diluted p-spin models and XORSAT problems CoRR Marc Mézard, Federico Ricci-Tersenghi, Riccardo Zecchina
2002	J	`jnl`	Coloring random graphs CoRR Roberto Mulet, Andrea Pagnani, Martin Weigt, Riccardo Zecchina
2002	J	`jnl`	Constraint Satisfaction by Survey Propagation CoRR Alfredo Braunstein, Marc Mézard, Martin Weigt, Riccardo Zecchina
2002	J	`jnl`	Survey propagation: an algorithm for satisfiability CoRR Alfredo Braunstein, Marc Mézard, Riccardo Zecchina
2001	J	`jnl`	Boosting search by rare events CoRR Andrea Montanari, Riccardo Zecchina
2001	J	`jnl`	Editorial. Theor. Comput. Sci. Olivier Dubois, Rémi Monasson, Bart Selman, Riccardo Zecchina
2001	J	`jnl`	Exact solutions for diluted spin glasses and optimization problems CoRR S. Franz, Michele Leone, Federico Ricci-Tersenghi, Riccardo Zecchina
2001	J	`jnl`	Hiding solutions in random satisfiability problems: A statistical mechanics approach CoRR Wolfgang Barthel, Alexander K. Hartmann, Michele Leone, Federico Ricci-Tersenghi, Martin Weigt, Riccardo Zecchina
2001	J	`jnl`	Statistical mechanics methods and phase transitions in optimization problems. Theor. Comput. Sci. Olivier C. Martin, Rémi Monasson, Riccardo Zecchina
2000	J	`jnl`	Simplest random K-satisfiability problem CoRR Federico Ricci-Tersenghi, Martin Weigt, Riccardo Zecchina
1999	J	`jnl`	2+p-SAT: Relation of typical-case complexity to the nature of the phase transition. Random Struct. Algorithms Rémi Monasson, Riccardo Zecchina, Scott Kirkpatrick, Bart Selman, Lidror Troyansky
1992	—	`conf`	Attractor Neural Networks with Local Inhibition: From Statistical Physics to a Digitial Programmable Integrated Circuit. NIPS Eros Pasero, Riccardo Zecchina
1992	J	`jnl`	Memory Retrieval in Optimal Subspaces. Int. J. Neural Syst. Guido Boffetta, Rémi Monasson, Riccardo Zecchina
1992	J	`jnl`	Neural Network with Local Short Memory and Complex Updating. Int. J. Neural Syst. Riccardo Zecchina