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

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)

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 Max-Sum algorithm for training discrete neural networks. - Carlo Baldassi; Alfredo Braunstein (CoRR, 2015)

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)

Binary Synapse Circuitry for High Efficiency Learning Algorithm Using Generalized Boundary Condition Memristor Models. - Jacopo Secco; Alessandro Vinassa; Valentina Pontrandolfo; Carlo Baldassi; Fernando Corinto (Advances in Neural Networks, 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)

Recombinator-k-means: Enhancing k-means++ by seeding from pools of previous runs. - Carlo Baldassi (CoRR, 2019)

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)

Multialternative Neural Decision Process. - Carlo Baldassi; Simone Cerreia-Vioglio; Fabio Maccheroni; Massimo Marinacci; Marco Pirazzini (CoRR, 2020)

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)

Ergodic Annealing. - Carlo Baldassi; Fabio Maccheroni; Massimo Marinacci; Marco Pirazzini (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)

A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure. - Carlo Baldassi; Simone Cerreia-Vioglio; Fabio Maccheroni; Massimo Marinacci; Marco Pirazzini (Manag. Sci., 2020)

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

Predicting Interacting Protein Pairs by Coevolutionary Paralog Matching. - Thomas Gueudré; Carlo Baldassi; Andrea Pagnani; Martin Weigt (Protein-Protein Interaction Networks, 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)

Systematically improving existing k-means initialization algorithms at nearly no cost, by pairwise-nearest-neighbor smoothing. - Carlo Baldassi (CoRR, 2022)

Recombinator-k-Means: An Evolutionary Algorithm That Exploits k-Means++ for Recombination. - Carlo Baldassi (IEEE Trans. Evol. Comput., 2022)

Systematically and efficiently improving k-means initialization by pairwise-nearest-neighbor smoothing. - Carlo Baldassi (Trans. Mach. Learn. Res., 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)

Sampling through Algorithmic Diffusion in non-convex Perceptron problems. - Elizaveta Demyanenko; Davide Straziota; Carlo Baldassi; Carlo Lucibello (CoRR, 2025)