Attractor Neural Networks with Local Inhibition: From Statistical Physics to a Digitial Programmable Integrated Circuit. - Eros Pasero; Riccardo Zecchina (NIPS, 1992)

Memory Retrieval in Optimal Subspaces. - Guido Boffetta; Rémi Monasson; Riccardo Zecchina (Int. J. Neural Syst., 1992)

Neural Network with Local Short Memory and Complex Updating. - Riccardo Zecchina (Int. J. Neural Syst., 1992)

2+p-SAT: Relation of typical-case complexity to the nature of the phase transition. - Rémi Monasson; Riccardo Zecchina; Scott Kirkpatrick; Bart Selman; Lidror Troyansky (Random Struct. Algorithms, 1999)

Simplest random K-satisfiability problem - Federico Ricci-Tersenghi; Martin Weigt; Riccardo Zecchina (CoRR, 2000)

Exact solutions for diluted spin glasses and optimization problems - S. Franz; Michele Leone; Federico Ricci-Tersenghi; Riccardo Zecchina (CoRR, 2001)

Hiding solutions in random satisfiability problems: A statistical mechanics approach - Wolfgang Barthel; Alexander K. Hartmann; Michele Leone; Federico Ricci-Tersenghi; Martin Weigt; Riccardo Zecchina (CoRR, 2001)

Boosting search by rare events - Andrea Montanari; Riccardo Zecchina (CoRR, 2001)

Editorial. - Olivier Dubois 002; Rémi Monasson; Bart Selman; Riccardo Zecchina (Theor. Comput. Sci., 2001)

Statistical mechanics methods and phase transitions in optimization problems. - Olivier C. Martin; Rémi Monasson; Riccardo Zecchina (Theor. Comput. Sci., 2001)

Alternative solutions to diluted p-spin models and XORSAT problems - Marc Mézard; Federico Ricci-Tersenghi; Riccardo Zecchina (CoRR, 2002)

Coloring random graphs - Roberto Mulet; Andrea Pagnani; Martin Weigt; Riccardo Zecchina (CoRR, 2002)

Constraint Satisfaction by Survey Propagation - Alfredo Braunstein; Marc Mézard; Martin Weigt; Riccardo Zecchina (CoRR, 2002)

Survey and Belief Propagation on Random K-SAT. - Alfredo Braunstein; Riccardo Zecchina (SAT, 2003)

Are financial markets efficient? Phase transition in the aggregation of information. - Johannes Berg; Matteo Marsili; Aldo Rustichini; Riccardo Zecchina (Complex., 2003)

Survey Propagation as local equilibrium equations - Alfredo Braunstein; Riccardo Zecchina (CoRR, 2003)

Threshold values of Random K-SAT from the cavity method - Stephan Mertens; Marc Mézard; Riccardo Zecchina (CoRR, 2003)

Construction and VHDL Implementation of a Fully Local Network with Good Reconstruction Properties of the Inputs. - Joël Chavas; Demian Battaglia; Andres Cicuttin; Riccardo Zecchina (IWINAC (2), 2005)

Clustering of solutions in the random satisfiability problem - Marc Mézard; Thierry Mora; Riccardo Zecchina (CoRR, 2005)

Pairs of SAT Assignment in Random Boolean Formulae - Hervé Daudé; Marc Mézard; Thierry Mora; Riccardo Zecchina (CoRR, 2005)

Learning by message-passing in networks of discrete synapses - Alfredo Braunstein; Riccardo Zecchina (CoRR, 2005)

Survey propagation: An algorithm for satisfiability. - Alfredo Braunstein; Marc Mézard; Riccardo Zecchina (Random Struct. Algorithms, 2005)

Constraint Satisfaction by Survey Propagation. - Alfredo Braunstein; Marc Mézard; Martin Weigt; Riccardo Zecchina (Computational Complexity and Statistical Physics, 2006)

Threshold values of random K-SAT from the cavity method. - Stephan Mertens; Marc Mézard; Riccardo Zecchina (Random Struct. Algorithms, 2006)

Encoding for the Blackwell Channel with Reinforced Belief Propagation. - Alfredo Braunstein; Farbod Kayhan; Guido Montorsi; Riccardo Zecchina (ISIT, 2007)

Efficient supervised learning in networks with binary synapses. - Carlo Baldassi; Alfredo Braunstein; Nicolas Brunel; Riccardo Zecchina (Proc. Natl. Acad. Sci. USA, 2007)

Entropy landscape and non-Gibbs solutions in constraint satisfaction problems - Luca Dall'Asta; Abolfazl Ramezanpour; Riccardo Zecchina (CoRR, 2008)

Viable flux distribution in metabolic networks. - Ginestra Bianconi; Riccardo Zecchina (Networks Heterog. Media, 2008)

Pairs of SAT-assignments in random Boolean formulæ. - Hervé Daudé; Marc Mézard; Thierry Mora; Riccardo Zecchina (Theor. Comput. Sci., 2008)

A Prize-Collecting Steiner Tree Approach for Transduction Network Inference. - Marc Bailly-Bechet; Alfredo Braunstein; Riccardo Zecchina (CMSB, 2009)

Efficient LDPC codes over GF(q) for lossy data compression. - Alfredo Braunstein; Riccardo Zecchina; Farbod Kayhan (ISIT, 2009)

A rigorous analysis of the cavity equations for the minimum spanning tree - Mohsen Bayati; Alfredo Braunstein; Riccardo Zecchina (CoRR, 2009)

Statistical mechanics of budget-constrained auctions - Fabrizio Altarelli; Alfredo Braunstein; John Realpe-Gomez; Riccardo Zecchina (CoRR, 2009)

Aligning graphs and finding substructures by message passing - S. Bradde; Alfredo Braunstein; H. Mahmoudi; F. Tria; Martin Weigt; Riccardo Zecchina (CoRR, 2009)

Clustering with shallow trees - Marc Bailly-Bechet; S. Bradde; Alfredo Braunstein; Abraham D. Flaxman; L. Foini; Riccardo Zecchina (CoRR, 2009)

Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach. - Marc Bailly-Bechet; Alfredo Braunstein; Andrea Pagnani; Martin Weigt; Riccardo Zecchina (BMC Bioinform., 2010)

Finding undetected protein associations in cell signaling by belief propagation - Marc Bailly-Bechet; Christian Borgs; Alfredo Braunstein; Jennifer T. Chayes; A. Dagkessamanskaia; J.-M. François; Riccardo Zecchina (CoRR, 2011)

Statistical physics approach to graphical games: local and global interactions - Abolfazl Ramezanpour; John Realpe-Gomez; Riccardo Zecchina (CoRR, 2011)

Stochastic optimization by message passing - Fabrizio Altarelli; Alfredo Braunstein; Abolfazl Ramezanpour; Riccardo Zecchina (CoRR, 2011)

Efficient data compression from statistical physics of codes over finite fields - Alfredo Braunstein; Farbod Kayhan; Riccardo Zecchina (CoRR, 2011)

3D Protein Structure Predicted from Sequence - Debora S. Marks; Lucy J. Colwell; Robert P. Sheridan; Thomas A. Hopf; Andrea Pagnani; Riccardo Zecchina; Chris Sander (CoRR, 2011)

Belief Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions. - Mohsen Bayati; Christian Borgs; Jennifer T. Chayes; Riccardo Zecchina (SIAM J. Discret. Math., 2011)

Message passing for quantified Boolean formulas - Pan Zhang; Abolfazl Ramezanpour; Lenka Zdeborová; Riccardo Zecchina (CoRR, 2012)

The Spread Optimization Problem - Fabrizio Altarelli; Alfredo Braunstein; Luca Dall'Asta; Riccardo Zecchina (CoRR, 2012)

Stochastic optimization of service provision with selfish users. - Fabrizio Altarelli; Alfredo Braunstein; Carla-Fabiana Chiasserini; Luca Dall'Asta; Paolo Giaccone; Emilio Leonardi; Riccardo Zecchina (ICC Workshops, 2013)

Bayesian inference of epidemics on networks via Belief Propagation. - Fabrizio Altarelli; Alfredo Braunstein; Luca Dall'Asta; Alejandro Lage-Castellanos; Riccardo Zecchina (CoRR, 2013)

Containing epidemic outbreaks by message-passing techniques. - Fabrizio Altarelli; Alfredo Braunstein; Luca Dall'Asta; Joseph R. Wakeling; Riccardo Zecchina (CoRR, 2013)

On the performance of a cavity method based algorithm for the Prize-Collecting Steiner Tree Problem on graphs. - Indaco Biazzo; Alfredo Braunstein; Riccardo Zecchina (CoRR, 2013)

Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem. - Nurcan Tuncbag; Alfredo Braunstein; Andrea Pagnani; Shao-Shan Carol Huang; Jennifer T. Chayes; Christian Borgs; Riccardo Zecchina; Ernest Fraenkel (J. Comput. Biol., 2013)

Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons. - Carlo Baldassi; Alireza Alemi-Neissi; Marino Pagan; James J. DiCarlo; Riccardo Zecchina; Davide Zoccolan (PLoS Comput. Biol., 2013)

Perturbation Biology: Inferring Signaling Networks in Cellular Systems. - 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; et al. (PLoS Comput. Biol., 2013)

Sharing Information to Reconstruct Patient-Specific Pathways in Heterogeneous Diseases. - Anthony Gitter; Alfredo Braunstein; Andrea Pagnani; Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Riccardo Zecchina; Ernest Fraenkel (Pacific Symposium on Biocomputing, 2014)

A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks. - Alireza Alemi; Carlo Baldassi; Nicolas Brunel; Riccardo Zecchina (PLoS Comput. Biol., 2015)

Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles. - Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Alessandro Ingrosso; Carlo Lucibello; Luca Saglietti; Riccardo Zecchina (CoRR, 2016)

Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes. - Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Alessandro Ingrosso; Carlo Lucibello; Luca Saglietti; Riccardo Zecchina (Proc. Natl. Acad. Sci. USA, 2016)

Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. - Pratik Chaudhari; Anna Choromanska; Stefano Soatto; Yann LeCun; Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Levent Sagun; Riccardo Zecchina (ICLR (Poster), 2017)

Efficiency of quantum versus classical annealing in non-convex learning problems. - Carlo Baldassi; Riccardo Zecchina (CoRR, 2017)

Parle: parallelizing stochastic gradient descent. - Pratik Chaudhari; Carlo Baldassi; Riccardo Zecchina; Stefano Soatto; Ameet Talwalkar (CoRR, 2017)

On the role of synaptic stochasticity in training low-precision neural networks. - Carlo Baldassi; Federica Gerace; Hilbert J. Kappen; Carlo Lucibello; Luca Saglietti; Enzo Tartaglione; Riccardo Zecchina (CoRR, 2017)

Efficiency of quantum vs. classical annealing in nonconvex learning problems. - Carlo Baldassi; Riccardo Zecchina (Proc. Natl. Acad. Sci. USA, 2018)

On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations. - Carlo Baldassi; Enrico M. Malatesta; Riccardo Zecchina (CoRR, 2019)

Natural representation of composite data with replicated autoencoders. - Matteo Negri; Davide Bergamini; Carlo Baldassi; Riccardo Zecchina; Christoph Feinauer (CoRR, 2019)

Entropic gradient descent algorithms and wide flat minima. - Fabrizio Pittorino; Carlo Lucibello; Christoph Feinauer; Enrico M. Malatesta; Gabriele Perugini; Carlo Baldassi; Matteo Negri; Elizaveta Demyanenko; Riccardo Zecchina (CoRR, 2020)

Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures. - Carlo Baldassi; Enrico M. Malatesta; Matteo Negri; Riccardo Zecchina (CoRR, 2020)

Shaping the learning landscape in neural networks around wide flat minima. - Carlo Baldassi; Fabrizio Pittorino; Riccardo Zecchina (Proc. Natl. Acad. Sci. USA, 2020)

Entropic gradient descent algorithms and wide flat minima. - Fabrizio Pittorino; Carlo Lucibello; Christoph Feinauer; Gabriele Perugini; Carlo Baldassi; Elizaveta Demyanenko; Riccardo Zecchina (ICLR, 2021)

Unveiling the structure of wide flat minima in neural networks. - Carlo Baldassi; Clarissa Lauditi; Enrico M. Malatesta; Gabriele Perugini; Riccardo Zecchina (CoRR, 2021)

Learning through atypical "phase transitions" in overparameterized neural networks. - Carlo Baldassi; Clarissa Lauditi; Enrico M. Malatesta; Rosalba Pacelli; Gabriele Perugini; Riccardo Zecchina (CoRR, 2021)

Quantum Approximate Optimization Algorithm applied to the binary perceptron. - Pietro Torta; Glen B. Mbeng; Carlo Baldassi; Riccardo Zecchina; Giuseppe E. Santoro (CoRR, 2021)

Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. - Fabrizio Pittorino; Antonio Ferraro; Gabriele Perugini; Christoph Feinauer; Carlo Baldassi; Riccardo Zecchina (ICML, 2022)

Deep learning via message passing algorithms based on belief propagation. - Carlo Lucibello; Fabrizio Pittorino; Gabriele Perugini; Riccardo Zecchina (Mach. Learn. Sci. Technol., 2022)

Typical and atypical solutions in non-convex neural networks with discrete and continuous weights. - Carlo Baldassi; Enrico M. Malatesta; Gabriele Perugini; Riccardo Zecchina (CoRR, 2023)

Obituary for Luca Trevisan. - Andrea Clementi; Venkatesan Guruswami; Kristin Kane; Alon Rosen; Nikhil Srivastava; Salil P. Vadhan; Riccardo Zecchina (Bull. EATCS, 2025)