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ORCIDRiccardo Zecchina
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- affiliation: Politecnico di Torino, Turin, Italy
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2020 – today
- 2023
[i49]Carlo Baldassi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina:
Typical and atypical solutions in non-convex neural networks with discrete and continuous weights. CoRR abs/2304.13871 (2023)- 2022
- [j21]Carlo Lucibello
, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina:
Deep learning via message passing algorithms based on belief propagation. Mach. Learn. Sci. Technol. 3(3): 35005 (2022) - [c12]Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina:
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. ICML 2022: 17759-17781 - [i48]Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina:
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. CoRR abs/2202.03038 (2022) - 2021
- [c11]Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina:
Entropic gradient descent algorithms and wide flat minima. ICLR 2021 - [i47]Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina:
Unveiling the structure of wide flat minima in neural networks. CoRR abs/2107.01163 (2021) - [i46]Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Rosalba Pacelli, Gabriele Perugini, Riccardo Zecchina:
Learning through atypical "phase transitions" in overparameterized neural networks. CoRR abs/2110.00683 (2021) - [i45]Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina:
Deep learning via message passing algorithms based on belief propagation. CoRR abs/2110.14583 (2021) - [i44]Pietro Torta, Glen B. Mbeng, Carlo Baldassi, Riccardo Zecchina, Giuseppe E. Santoro:
Quantum Approximate Optimization Algorithm applied to the binary perceptron. CoRR abs/2112.10219 (2021) - 2020
- [j20]Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina:
Shaping the learning landscape in neural networks around wide flat minima. Proc. Natl. Acad. Sci. USA 117(1): 161-170 (2020) - [i43]Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Enrico M. Malatesta, Gabriele Perugini, Carlo Baldassi, Matteo Negri, Elizaveta Demyanenko, Riccardo Zecchina:
Entropic gradient descent algorithms and wide flat minima. CoRR abs/2006.07897 (2020) - [i42]Carlo Baldassi, Enrico M. Malatesta, Matteo Negri, Riccardo Zecchina:
Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures. CoRR abs/2010.14761 (2020)
2010 – 2019
- 2019
- [i41]Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina:
Shaping the learning landscape in neural networks around wide flat minima. CoRR abs/1905.07833 (2019) - [i40]Carlo Baldassi, Enrico M. Malatesta, Riccardo Zecchina:
On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations. CoRR abs/1907.07578 (2019) - [i39]Matteo Negri, Davide Bergamini, Carlo Baldassi, Riccardo Zecchina, Christoph Feinauer:
Natural representation of composite data with replicated autoencoders. CoRR abs/1909.13327 (2019) - 2018
- [j19]Carlo Baldassi, Riccardo Zecchina:
Efficiency of quantum vs. classical annealing in nonconvex learning problems. Proc. Natl. Acad. Sci. USA 115(7): 1457-1462 (2018) - 2017
- [c10]Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina:
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. ICLR (Poster) 2017 - [i38]Carlo Baldassi, Riccardo Zecchina:
Efficiency of quantum versus classical annealing in non-convex learning problems. CoRR abs/1706.08470 (2017) - [i37]Pratik Chaudhari, Carlo Baldassi, Riccardo Zecchina, Stefano Soatto, Ameet Talwalkar:
Parle: parallelizing stochastic gradient descent. CoRR abs/1707.00424 (2017) - [i36]Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina:
On the role of synaptic stochasticity in training low-precision neural networks. CoRR abs/1710.09825 (2017) - 2016
- [j18]Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina:
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes. Proc. Natl. Acad. Sci. USA 113(48): E7655-E7662 (2016) - [i35]Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina:
Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles. CoRR abs/1605.06444 (2016) - [i34]Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina:
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. CoRR abs/1611.01838 (2016) - 2015
- [j17]Alireza Alemi, Carlo Baldassi, Nicolas Brunel, Riccardo Zecchina:
A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks. PLoS Comput. Biol. 11(8) (2015) - 2014
- [c9]Anthony Gitter, Alfredo Braunstein, Andrea Pagnani, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina, Ernest Fraenkel:
Sharing Information to Reconstruct Patient-Specific Pathways in Heterogeneous Diseases. Pacific Symposium on Biocomputing 2014: 39-50 - 2013
- [j16]Nurcan Tuncbag, Alfredo Braunstein, Andrea Pagnani, Shao-Shan Carol Huang, Jennifer T. Chayes, Christian Borgs, Riccardo Zecchina, Ernest Fraenkel:
Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem. J. Comput. Biol. 20(2): 124-136 (2013) - [j15]Carlo Baldassi, Alireza Alemi-Neissi, Marino Pagan, James J. DiCarlo, Riccardo Zecchina, Davide Zoccolan:
Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons. PLoS Comput. Biol. 9(8) (2013) - [j14]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:
Perturbation Biology: Inferring Signaling Networks in Cellular Systems. PLoS Comput. Biol. 9(12) (2013) - [c8]Fabrizio Altarelli, Alfredo Braunstein, Carla-Fabiana Chiasserini, Luca Dall'Asta, Paolo Giaccone, Emilio Leonardi, Riccardo Zecchina:
Stochastic optimization of service provision with selfish users. ICC Workshops 2013: 1415-1419 - [i33]Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta, Alejandro Lage-Castellanos, Riccardo Zecchina:
Bayesian inference of epidemics on networks via Belief Propagation. CoRR abs/1307.6786 (2013) - [i32]Indaco Biazzo, Alfredo Braunstein, Riccardo Zecchina:
On the performance of a cavity method based algorithm for the Prize-Collecting Steiner Tree Problem on graphs. CoRR abs/1309.0346 (2013) - [i31]Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta, Joseph R. Wakeling, Riccardo Zecchina:
Containing epidemic outbreaks by message-passing techniques. CoRR abs/1309.2805 (2013) - [i30]Fabrizio Altarelli, Alfredo Braunstein, Carla-Fabiana Chiasserini, Luca Dall'Asta, Paolo Giaccone, Emilio Leonardi, Riccardo Zecchina:
Stochastic Optimization of Service Provision with Selfish Users. CoRR abs/1309.3984 (2013) - 2012
- [c7]Nurcan Tuncbag, Alfredo Braunstein, Andrea Pagnani, Shao-Shan Carol Huang, Jennifer T. Chayes, Christian Borgs, Riccardo Zecchina, Ernest Fraenkel:
Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem. RECOMB 2012: 287-301 - [i29]Pan Zhang, Abolfazl Ramezanpour, Lenka Zdeborová, Riccardo Zecchina:
Message passing for quantified Boolean formulas. CoRR abs/1202.2536 (2012) - [i28]Fabrizio Altarelli, Alfredo Braunstein, Luca Dall'Asta, Riccardo Zecchina:
The Spread Optimization Problem. CoRR abs/1203.1426 (2012) - 2011
- [j13]Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina:
Belief Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions. SIAM J. Discret. Math. 25(2): 989-1011 (2011) - [i27]Marc Bailly-Bechet, Christian Borgs, Alfredo Braunstein, Jennifer T. Chayes, A. Dagkessamanskaia, J.-M. François, Riccardo Zecchina:
Finding undetected protein associations in cell signaling by belief propagation. CoRR abs/1101.4573 (2011) - [i26]Abolfazl Ramezanpour, John Realpe-Gomez, Riccardo Zecchina:
Statistical physics approach to graphical games: local and global interactions. CoRR abs/1104.1929 (2011) - [i25]Fabrizio Altarelli, Alfredo Braunstein, Abolfazl Ramezanpour, Riccardo Zecchina:
Stochastic optimization by message passing. CoRR abs/1108.6160 (2011) - [i24]Alfredo Braunstein, Farbod Kayhan, Riccardo Zecchina:
Efficient data compression from statistical physics of codes over finite fields. CoRR abs/1108.6239 (2011) - [i23]Debora S. Marks, Lucy J. Colwell, Robert P. Sheridan, Thomas A. Hopf, Andrea Pagnani, Riccardo Zecchina, Chris Sander:
3D Protein Structure Predicted from Sequence. CoRR abs/1110.5091 (2011) - 2010
- [j12]Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pagnani, Martin Weigt, Riccardo Zecchina:
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach. BMC Bioinform. 11: 355 (2010)
2000 – 2009
- 2009
- [c6]Marc Bailly-Bechet, Alfredo Braunstein, Riccardo Zecchina:
A Prize-Collecting Steiner Tree Approach for Transduction Network Inference. CMSB 2009: 83-95 - [c5]Alfredo Braunstein, Riccardo Zecchina, Farbod Kayhan:
Efficient LDPC codes over GF(q) for lossy data compression. ISIT 2009: 1978-1982 - [i22]Mohsen Bayati, Alfredo Braunstein, Riccardo Zecchina:
A rigorous analysis of the cavity equations for the minimum spanning tree. CoRR abs/0901.1684 (2009) - [i21]Alfredo Braunstein, Farbod Kayhan, Riccardo Zecchina:
Efficient LDPC Codes over GF(q) for Lossy Data Compression. CoRR abs/0901.4467 (2009) - [i20]Fabrizio Altarelli, Alfredo Braunstein, John Realpe-Gomez, Riccardo Zecchina:
Statistical mechanics of budget-constrained auctions. CoRR abs/0903.2429 (2009) - [i19]S. Bradde, Alfredo Braunstein, H. Mahmoudi, F. Tria, Martin Weigt, Riccardo Zecchina:
Aligning graphs and finding substructures by message passing. CoRR abs/0905.1893 (2009) - [i18]Marc Bailly-Bechet, S. Bradde, Alfredo Braunstein, A. Flaxman, L. Foini, Riccardo Zecchina:
Clustering with shallow trees. CoRR abs/0910.0767 (2009) - 2008
- [j11]Ginestra Bianconi, Riccardo Zecchina:
Viable flux distribution in metabolic networks. Networks Heterog. Media 3(2): 361-369 (2008) - [j10]Hervé Daudé, Marc Mézard, Thierry Mora, Riccardo Zecchina:
Pairs of SAT-assignments in random Boolean formulæ. Theor. Comput. Sci. 393(1-3): 260-279 (2008) - [i17]Luca Dall'Asta, Abolfazl Ramezanpour, Riccardo Zecchina:
Entropy landscape and non-Gibbs solutions in constraint satisfaction problems. CoRR abs/0801.2890 (2008) - 2007
- [j9]Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel, Riccardo Zecchina:
Efficient supervised learning in networks with binary synapses. Proc. Natl. Acad. Sci. USA 104(26): 11079-11084 (2007) - [c4]Alfredo Braunstein, Farbod Kayhan, Guido Montorsi, Riccardo Zecchina:
Encoding for the Blackwell Channel with Reinforced Belief Propagation. ISIT 2007: 1891-1895 - [i16]Alfredo Braunstein, Farbod Kayhan, Guido Montorsi, Riccardo Zecchina:
Encoding for the Blackwell Channel with Reinforced Belief Propagation. CoRR abs/0705.0423 (2007) - [i15]Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel, Riccardo Zecchina:
Efficient supervised learning in networks with binary synapses. CoRR abs/0707.1295 (2007) - [i14]Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina:
Belief-Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions. CoRR abs/0709.1190 (2007) - 2006
- [j8]Stephan Mertens, Marc Mézard, Riccardo Zecchina:
Threshold values of random K-SAT from the cavity method. Random Struct. Algorithms 28(3): 340-373 (2006) - [p1]Alfredo Braunstein, Marc Mézard, Martin Weigt, Riccardo Zecchina:
Constraint Satisfaction by Survey Propagation. Computational Complexity and Statistical Physics 2006: 107-124 - 2005
- [j7]Alfredo Braunstein, Marc Mézard, Riccardo Zecchina:
Survey propagation: An algorithm for satisfiability. Random Struct. Algorithms 27(2): 201-226 (2005) - [c3]Joël Chavas, Demian Battaglia, Andres Cicuttin, Riccardo Zecchina:
Construction and VHDL Implementation of a Fully Local Network with Good Reconstruction Properties of the Inputs. IWINAC (2) 2005: 385-394 - [i13]Marc Mézard, Thierry Mora, Riccardo Zecchina:
Clustering of solutions in the random satisfiability problem. CoRR abs/cond-mat/0504070 (2005) - [i12]Hervé Daudé, Marc Mézard, Thierry Mora, Riccardo Zecchina:
Pairs of SAT Assignment in Random Boolean Formulae. CoRR abs/cond-mat/0506053 (2005) - [i11]Alfredo Braunstein, Riccardo Zecchina:
Learning by message-passing in networks of discrete synapses. CoRR abs/cond-mat/0511159 (2005) - 2003
- [j6]Johannes Berg, Matteo Marsili, Aldo Rustichini, Riccardo Zecchina:
Are financial markets efficient? Phase transition in the aggregation of information. Complex. 8(2): 20-23 (2003) - [c2]Alfredo Braunstein, Riccardo Zecchina:
Survey and Belief Propagation on Random K-SAT. SAT 2003: 519-528 - [i10]Alfredo Braunstein, Riccardo Zecchina:
Survey Propagation as local equilibrium equations. CoRR cond-mat/0312483 (2003) - [i9]Stephan Mertens, Marc Mézard, Riccardo Zecchina:
Threshold values of Random K-SAT from the cavity method. CoRR cs.CC/0309020 (2003) - 2002
- [i8]Marc Mézard, Federico Ricci-Tersenghi, Riccardo Zecchina:
Alternative solutions to diluted p-spin models and XORSAT problems. CoRR cond-mat/0207140 (2002) - [i7]Roberto Mulet, Andrea Pagnani, Martin Weigt, Riccardo Zecchina:
Coloring random graphs. CoRR cond-mat/0208460 (2002) - [i6]Alfredo Braunstein, Marc Mézard, Martin Weigt, Riccardo Zecchina:
Constraint Satisfaction by Survey Propagation. CoRR cond-mat/0212451 (2002) - [i5]Alfredo Braunstein, Marc Mézard, Riccardo Zecchina:
Survey propagation: an algorithm for satisfiability. CoRR cs.CC/0212002 (2002) - 2001
- [j5]Olivier Dubois, Rémi Monasson, Bart Selman, Riccardo Zecchina:
Editorial. Theor. Comput. Sci. 265(1-2): 1 (2001) - [j4]Olivier C. Martin, Rémi Monasson, Riccardo Zecchina:
Statistical mechanics methods and phase transitions in optimization problems. Theor. Comput. Sci. 265(1-2): 3-67 (2001) - [i4]S. Franz, Michele Leone, Federico Ricci-Tersenghi, Riccardo Zecchina:
Exact solutions for diluted spin glasses and optimization problems. CoRR cond-mat/0103328 (2001) - [i3]Wolfgang Barthel, Alexander K. Hartmann, Michele Leone, Federico Ricci-Tersenghi, Martin Weigt, Riccardo Zecchina:
Hiding solutions in random satisfiability problems: A statistical mechanics approach. CoRR cond-mat/0111153 (2001) - [i2]Andrea Montanari, Riccardo Zecchina:
Boosting search by rare events. CoRR cond-mat/0112142 (2001) - 2000
- [i1]Federico Ricci-Tersenghi, Martin Weigt, Riccardo Zecchina:
Simplest random K-satisfiability problem. CoRR cond-mat/0011181 (2000)
1990 – 1999
- 1999
- [j3]Rémi Monasson, Riccardo Zecchina, Scott Kirkpatrick, Bart Selman, Lidror Troyansky:
2+p-SAT: Relation of typical-case complexity to the nature of the phase transition. Random Struct. Algorithms 15(3-4): 414-435 (1999) - 1992
- [j2]Riccardo Zecchina:
Neural Network with Local Short Memory and Complex Updating. Int. J. Neural Syst. 3(4): 379-387 (1992) - [j1]Guido Boffetta, Rémi Monasson, Riccardo Zecchina:
Memory Retrieval in Optimal Subspaces. Int. J. Neural Syst. 3(Supplement): 71-77 (1992) - [c1]Eros Pasero, Riccardo Zecchina:
Attractor Neural Networks with Local Inhibition: From Statistical Physics to a Digitial Programmable Integrated Circuit. NIPS 1992: 805-812
Coauthor Index
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