Carlo Baldassi

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 28

Top Topics

Stochastic Gradient Descent

Learning Problems

Object Representations

Top Venues

Proc. Natl. Acad. Sci. USA

PLoS Comput. Biol.

IEEE Trans. Evol. Comput.

Publications

Carlo Baldassi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina
Typical and atypical solutions in non-convex neural networks with discrete and continuous weights. CoRR (2023)
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 (2022)
Carlo Baldassi
Recombinator-k-Means: An Evolutionary Algorithm That Exploits k-Means++ for Recombination. IEEE Trans. Evol. Comput. 26 (5) (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)
Carlo Baldassi
Systematically improving existing k-means initialization algorithms at nearly no cost, by pairwise-nearest-neighbor smoothing. CoRR (2022)
Carlo Baldassi
Systematically and efficiently improving $k$-means initialization by pairwise-nearest-neighbor smoothing. Trans. Mach. Learn. Res. 2022 (2022)
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 (2021)
Pietro Torta, Glen B. Mbeng, Carlo Baldassi, Riccardo Zecchina, Giuseppe E. Santoro
Quantum Approximate Optimization Algorithm applied to the binary perceptron. CoRR (2021)
Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Rosalba Pacelli, Gabriele Perugini, Riccardo Zecchina
Learning through atypical "phase transitions" in overparameterized neural networks. CoRR (2021)
Carlo Baldassi, Simone Cerreia-Vioglio, Fabio Maccheroni, Massimo Marinacci, Marco Pirazzini
A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure. Manag. Sci. 66 (11) (2020)
Carlo Baldassi, Fabio Maccheroni, Massimo Marinacci, Marco Pirazzini
Ergodic Annealing. CoRR (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) (2020)
Carlo Baldassi, Simone Cerreia-Vioglio, Fabio Maccheroni, Massimo Marinacci, Marco Pirazzini
Multialternative Neural Decision Process. CoRR (2020)
Carlo Baldassi, Enrico M. Malatesta, Matteo Negri, Riccardo Zecchina
Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures. CoRR (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 (2020)
Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina
Shaping the learning landscape in neural networks around wide flat minima. CoRR (2019)
Carlo Baldassi
Recombinator-k-means: Enhancing k-means++ by seeding from pools of previous runs. CoRR (2019)
Matteo Negri, Davide Bergamini, Carlo Baldassi, Riccardo Zecchina, Christoph Feinauer
Natural representation of composite data with replicated autoencoders. CoRR (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 (2019)
Carlo Baldassi, Riccardo Zecchina
Efficiency of quantum vs. classical annealing in nonconvex learning problems. Proc. Natl. Acad. Sci. USA 115 (7) (2018)
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 (2017)
Pratik Chaudhari, Carlo Baldassi, Riccardo Zecchina, Stefano Soatto, Ameet Talwalkar
Parle: parallelizing stochastic gradient descent. CoRR (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 (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. CoRR (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 (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) (2016)
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)
Carlo Baldassi, Alfredo Braunstein
A Max-Sum algorithm for training discrete neural networks. CoRR (2015)
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)
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)
Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel, Riccardo Zecchina
Efficient supervised learning in networks with binary synapses. Proc. Natl. Acad. Sci. USA 104 (26) (2007)
Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel, Riccardo Zecchina
Efficient supervised learning in networks with binary synapses CoRR (2007)