default search action
Carlo Lucibello
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i17]Silvio Kalaj, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta, Matteo Negri:
Random Features Hopfield Networks generalize retrieval to previously unseen examples. CoRR abs/2407.05658 (2024) - [i16]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová:
The phase diagram of compressed sensing with ℓ0-norm regularization. CoRR abs/2408.08319 (2024) - [i15]Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni:
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion. CoRR abs/2410.05898 (2024) - [i14]Beatrice Achilli, Enrico Ventura, Gianluigi Silvestri, Bao Pham, Gabriel Raya, Dmitry Krotov, Carlo Lucibello, Luca Ambrogioni:
Losing dimensions: Geometric memorization in generative diffusion. CoRR abs/2410.08727 (2024) - 2023
- [c5]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala
, Lenka Zdeborová:
Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery. ITW 2023: 323-328 - [i13]Matteo Negri, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta:
The Hidden-Manifold Hopfield Model and a learning phase transition. CoRR abs/2303.16880 (2023) - [i12]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala
Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery. CoRR abs/2304.12127 (2023) - [i11]Carlo Lucibello, Marc Mézard:
The Exponential Capacity of Dense Associative Memories. CoRR abs/2304.14964 (2023) - [i10]Brandon Livio Annesi, Clarissa Lauditi, Carlo Lucibello, Enrico M. Malatesta, Gabriele Perugini, Fabrizio Pittorino, Luca Saglietti:
The star-shaped space of solutions of the spherical negative perceptron. CoRR abs/2305.10623 (2023) - 2022
- [j3]Carlo Lucibello
Deep learning via message passing algorithms based on belief propagation. Mach. Learn. Sci. Technol. 3(3): 35005 (2022) - [j2]Christoph Feinauer
Interpretable pairwise distillations for generative protein sequence models. PLoS Comput. Biol. 18(6) (2022) - 2021
- [c4]Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina:
Entropic gradient descent algorithms and wide flat minima. ICLR 2021 - [c3]Christoph Feinauer, Carlo Lucibello:
Reconstruction of Pairwise Interactions using Energy-Based Models. MSML 2021: 291-313 - [i9]Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina:
Deep learning via message passing algorithms based on belief propagation. CoRR abs/2110.14583 (2021) - 2020
- [c2]George Stamatescu, Federica Gerace, Carlo Lucibello, Ian G. Fuss, Langford B. White:
Critical initialisation in continuous approximations of binary neural networks. ICLR 2020 - [i8]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) - [i7]Christoph Feinauer, Carlo Lucibello:
Reconstruction of Pairwise Interactions using Energy-Based Models. CoRR abs/2012.06625 (2020)
2010 – 2019
- 2019
- [c1]Carlo Lucibello, Luca Saglietti, Yue M. Lu:
Generalized Approximate Survey Propagation for High-Dimensional Estimation. ICML 2019: 4173-4182 - [i6]George Stamatescu, Federica Gerace, Carlo Lucibello
Signal propagation in continuous approximations of binary neural networks. CoRR abs/1902.00177 (2019) - [i5]Luca Saglietti, Yue M. Lu, Carlo Lucibello
Generalized Approximate Survey Propagation for High-Dimensional Estimation. CoRR abs/1905.05313 (2019) - 2017
- [i4]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
- [j1]Carlo Baldassi
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) - [i3]Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello
Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles. CoRR abs/1605.06444 (2016) - [i2]Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro:
One-loop diagrams in the Random Euclidean Matching Problem. CoRR abs/1609.09310 (2016) - 2014
- [i1]Sergio Caracciolo, Carlo Lucibello
A Scaling Hypothesis for the Euclidean Bipartite Matching Problem. CoRR abs/1402.6993 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 00:13 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: