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- Riccardo Zecchina
Politecnico di Torino, Turin, Italy
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Publication search results
found 83 matches
- 2023
- 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
- 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) - 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 - 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
- Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina:
Entropic gradient descent algorithms and wide flat minima. ICLR 2021 - 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) - 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) - Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina:
Deep learning via message passing algorithms based on belief propagation. CoRR abs/2110.14583 (2021) - 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
- 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) - 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) - 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) - 2019
- Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina:
Shaping the learning landscape in neural networks around wide flat minima. CoRR abs/1905.07833 (2019) - 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) - Matteo Negri, Davide Bergamini, Carlo Baldassi, Riccardo Zecchina, Christoph Feinauer:
Natural representation of composite data with replicated autoencoders. CoRR abs/1909.13327 (2019) - 2018
- 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
- 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 - Carlo Baldassi, Riccardo Zecchina:
Efficiency of quantum versus classical annealing in non-convex learning problems. CoRR abs/1706.08470 (2017) - Pratik Chaudhari, Carlo Baldassi, Riccardo Zecchina, Stefano Soatto, Ameet Talwalkar:
Parle: parallelizing stochastic gradient descent. CoRR abs/1707.00424 (2017) - 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
- 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) - 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) - 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
- 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
- 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
- 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) - 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) - 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) - 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 - 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)
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