Alessandro Laio

52 papers A* 7Journal 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differential syntactic and semantic encoding in LLMs. CoRR Santiago Acevedo, Alessandro Laio, Marco Baroni
2025	J	`jnl`	An approach to identify the most semantically informative deep representations of text and images. CoRR Santiago Acevedo, Andrea Mascaretti, Riccardo Rende, Matéo Mahaut, Marco Baroni, Alessandro Laio
2025	J	`jnl`	Density estimation via binless multidimensional integration. Mach. Learn. Sci. Technol. Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo
2025	J	`jnl`	Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics. CoRR Sebastian Springer, Andre Scaffidi, Maximilian Autenrieth, Gabriella Contardo, Alessandro Laio, Roberto Trotta, Heikki Haario
2025	A*	`conf`	Emergence of a High-Dimensional Abstraction Phase in Language Transformers. ICLR Emily Cheng, Diego Doimo, Corentin Kervadec, Iuri Macocco, Lei Yu, Alessandro Laio, Marco Baroni
2025	J	`jnl`	The Effect of Label Noise on the Information Content of Neural Representations. CoRR Ali Hussaini Umar, Franky Kevin Nando Tezoh, Jean Barbier, Santiago Acevedo, Alessandro Laio
2024	A*	`conf`	A distributional simplicity bias in the learning dynamics of transformers. NeurIPS Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt
2024	J	`jnl`	A distributional simplicity bias in the learning dynamics of transformers. CoRR Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt
2024	J	`jnl`	Automatic feature selection and weighting using Differentiable Information Imbalance. CoRR Romina Wild, Vittorio Del Tatto, Felix Wodaczek, Bingqing Cheng, Alessandro Laio
2024	J	`jnl`	Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification. CoRR Antonio Di Noia, Iuri Macocco, Aldo Glielmo, Alessandro Laio, Antonietta Mira
2024	J	`jnl`	Density Estimation via Binless Multidimensional Integration. CoRR Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo
2024	J	`jnl`	Emergence of a High-Dimensional Abstraction Phase in Language Transformers. CoRR Emily Cheng, Diego Doimo, Corentin Kervadec, Iuri Macocco, Jade Yu, Alessandro Laio, Marco Baroni
2024	J	`jnl`	How to choose the right transfer learning protocol? A qualitative analysis in a controlled set-up. Trans. Mach. Learn. Res. Federica Gerace, Diego Doimo, Stefano Sarao Mannelli, Luca Saglietti, Alessandro Laio
2024	J	`jnl`	Metadynamics for Transition Paths in Irreversible Dynamics. Multiscale Model. Simul. Tobias Grafke, Alessandro Laio
2024	J	`jnl`	Unsupervised detection of semantic correlations in big data. CoRR Santiago Acevedo, Alex Rodriguez, Alessandro Laio
2023	J	`jnl`	Optimal inference of a generalised Potts model by single-layer transformers with factored attention. CoRR Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt
2023	J	`jnl`	Optimal transfer protocol by incremental layer defrosting. CoRR Federica Gerace, Diego Doimo, Stefano Sarao Mannelli, Luca Saglietti, Alessandro Laio
2023	A*	`conf`	The geometry of hidden representations of large transformer models. NeurIPS Lucrezia Valeriani, Diego Doimo, Francesca Cuturello, Alessandro Laio, Alessio Ansuini, Alberto Cazzaniga
2023	J	`jnl`	The geometry of hidden representations of large transformer models. CoRR Lucrezia Valeriani, Diego Doimo, Francesca Cuturello, Alessandro Laio, Alessio Ansuini, Alberto Cazzaniga
2022	J	`jnl`	DADApy: Distance-based Analysis of DAta-manifolds in Python. CoRR Aldo Glielmo, Iuri Macocco, Diego Doimo, Matteo Carli, Claudio Zeni, Romina Wild, Maria d'Errico, Alex Rodriguez, Alessandro Laio
2022	J	`jnl`	DADApy: Distance-based analysis of data-manifolds in Python. Patterns Aldo Glielmo, Iuri Macocco, Diego Doimo, Matteo Carli, Claudio Zeni, Romina Wild, Maria d'Errico, Alex Rodriguez, Alessandro Laio
2022	J	`jnl`	DPCfam: Unsupervised protein family classification by Density Peak Clustering of large sequence datasets. PLoS Comput. Biol. Elena Tea Russo, Federico Barone, Alex Bateman, Stefano Cozzini, Marco Punta, Alessandro Laio
2022	J	`jnl`	Intrinsic dimension estimation for discrete metrics. CoRR Iuri Macocco, Aldo Glielmo, Jacopo Grilli, Alessandro Laio
2022	A*	`conf`	Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks. NeurIPS Paolo Muratore, Sina Tafazoli, Eugenio Piasini, Alessandro Laio, Davide Zoccolan
2022	J	`jnl`	Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks. CoRR Paolo Muratore, Sina Tafazoli, Eugenio Piasini, Alessandro Laio, Davide Zoccolan
2022	A*	`conf`	Redundant representations help generalization in wide neural networks. NeurIPS Diego Doimo, Aldo Glielmo, Sebastian Goldt, Alessandro Laio
2021	J	`jnl`	Automatic topography of high-dimensional data sets by non-parametric density peak clustering. Inf. Sci. Maria d'Errico, Elena Facco, Alessandro Laio, Alex Rodriguez
2021	J	`jnl`	Density Peak clustering of protein sequences associated to a Pfam clan reveals clear similarities and interesting differences with respect to manual family annotation. BMC Bioinform. Elena Tea Russo, Alessandro Laio, Marco Punta
2021	J	`jnl`	PARCE: Protocol for Amino acid Refinement through Computational Evolution. Comput. Phys. Commun. Rodrigo Ochoa, Miguel A. Soler, Alessandro Laio, Pilar Cossio
2021	J	`jnl`	Ranking the information content of distance measures. CoRR Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gábor Csányi, Alessandro Laio
2021	J	`jnl`	Representation mitosis in wide neural networks. CoRR Diego Doimo, Aldo Glielmo, Sebastian Goldt, Alessandro Laio
2020	J	`jnl`	Automatic classification of single-molecule force spectroscopy traces from heterogeneous samples. Bioinform. Nina I Ilieva, Nicola Galvanetto, Michele Allegra, Marco Brucale, Alessandro Laio
2020	J	`jnl`	Brain network dynamics during spontaneous strategy shifts and incremental task optimization. NeuroImage Michele Allegra, Shima Seyed-Allaei, Nicolas W. Schuck, Daniele Amati, Alessandro Laio, Carlo Reverberi
2020	A*	`conf`	Hierarchical nucleation in deep neural networks. NeurIPS Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio
2020	J	`jnl`	Hierarchical nucleation in deep neural networks. CoRR Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio
2019	J	`jnl`	Clustering by the local intrinsic dimension: the hidden structure of real-world data. CoRR Michele Allegra, Elena Facco, Alessandro Laio, Antonietta Mira
2019	A*	`conf`	Intrinsic dimension of data representations in deep neural networks. NeurIPS Alessio Ansuini, Alessandro Laio, Jakob H. Macke, Davide Zoccolan
2019	J	`jnl`	Intrinsic dimension of data representations in deep neural networks. CoRR Alessio Ansuini, Alessandro Laio, Jakob H. Macke, Davide Zoccolan
2019	J	`jnl`	Predicting the Affinity of Peptides to Major Histocompatibility Complex Class II by Scoring Molecular Dynamics Simulations. J. Chem. Inf. Model. Rodrigo Ochoa, Alessandro Laio, Pilar Cossio
2019	J	`jnl`	The intrinsic dimension of protein sequence evolution. PLoS Comput. Biol. Elena Facco, Andrea Pagnani, Elena Tea Russo, Alessandro Laio
2018	J	`jnl`	Automatic topography of high-dimensional data sets by non-parametric Density Peak clustering. CoRR Maria d'Errico, Elena Facco, Alessandro Laio, Alex Rodriguez
2018	J	`jnl`	Estimating the intrinsic dimension of datasets by a minimal neighborhood information. CoRR Elena Facco, Maria d'Errico, Alex Rodriguez, Alessandro Laio
2018	J	`jnl`	The permeation mechanism of organic cations through a CNG mimic channel. PLoS Comput. Biol. Luisa M. R. Napolitano, Arin Marchesi, Alex Rodriguez, Matteo De March, Silvia Onesti, Alessandro Laio, Vincent Torre
2017	J	`jnl`	METAGUI 3: A graphical user interface for choosing the collective variables in molecular dynamics simulations. Comput. Phys. Commun. Toni Giorgino, Alessandro Laio, Alex Rodriguez
2016	J	`jnl`	Non-Markovian effects on protein sequence evolution due to site dependent substitution rates. BMC Bioinform. Francesca Rizzato, Alex Rodriguez, Alessandro Laio
2015	J	`jnl`	QMMMW: A wrapper for QM/MM simulations with Quantum ESPRESSO and LAMMPS. Comput. Phys. Commun. Changru Ma, Layla Martin-Samos, Stefano Fabris, Alessandro Laio, Simone Piccinin
2014	J	`jnl`	Metadynamics Simulations Reveal a Na PLoS Comput. Biol. Ina Bisha, Alex Rodriguez, Alessandro Laio, Alessandra Magistrato
2013	J	`jnl`	BACHSCORE. A tool for evaluating efficiently and reliably the quality of large sets of protein structures. Comput. Phys. Commun. Edoardo Sarti, Stefano Zamuner, Pilar Cossio, Alessandro Laio, Flavio Seno, Antonio Trovato
2012	J	`jnl`	METAGUI. A VMD interface for analyzing metadynamics and molecular dynamics simulations. Comput. Phys. Commun. Xevi Biarnés, Fabio Pietrucci, Fabrizio Marinelli, Alessandro Laio
2010	J	`jnl`	Exploring the Universe of Protein Structures beyond the Protein Data Bank. PLoS Comput. Biol. Pilar Cossio, Antonio Trovato, Fabio Pietrucci, Flavio Seno, Amos Maritan, Alessandro Laio
2009	J	`jnl`	A Kinetic Model of Trp-Cage Folding from Multiple Biased Molecular Dynamics Simulations. PLoS Comput. Biol. Fabrizio Marinelli, Fabio Pietrucci, Alessandro Laio, Stefano Piana
2006	J	`jnl`	A comparative theoretical study of dipeptide solvation in water. J. Comput. Chem. Håkan W. Hugosson, Alessandro Laio, Patrick Maurer, Ursula Rothlisberger