Trading Behavior and excess volatility in Toy Markets. - Matteo Marsili; Damien Challet (Adv. Complex Syst., 2001)

Are financial markets efficient? Phase transition in the aggregation of information. - Johannes Berg; Matteo Marsili; Aldo Rustichini; Riccardo Zecchina (Complex., 2003)

Diffusion and growth in an evolving network. - George Ehrhardt; Matteo Marsili; Fernando Vega-Redondo (Int. J. Game Theory, 2006)

Codon Usage Domains over Bacterial Chromosomes. - Marc Bailly-Bechet; Antoine Danchin; Mudassar Iqbal; Matteo Marsili; Massimo Vergassola (PLoS Comput. Biol., 2006)

Congestion phenomena on complex networks. - Daniele De Martino; Luca Dall'Asta; Ginestra Bianconi; Matteo Marsili (CoRR, 2008)

Theory of Rumour Spreading in Complex Social Networks - Maziar M. Nekovee; Yamir Moreno; Ginestra Bianconi; Matteo Marsili (CoRR, 2008)

The Social Climbing Game - Marco Bardoscia; Giancarlo De Luca; Giacomo Livan; Matteo Marsili; Claudio J. Tessone (CoRR, 2012)

Collaboration in social networks. - Luca Dall'Asta; Matteo Marsili; Paolo Pin (Proc. Natl. Acad. Sci. USA, 2012)

Threshold Functions for Distinct Parts: Revisiting Erdős-Lehner. - Éva Czabarka; Matteo Marsili; László A. Székely (Information Theory, Combinatorics, and Search Theory, 2013)

What Do Leaders Know? - Giacomo Livan; Matteo Marsili (Entropy, 2013)

Anomalies in the Peer-review System: A Case Study of the Journal of High Energy Physics. - Sandipan Sikdar; Matteo Marsili; Niloy Ganguly; Animesh Mukherjee 001 (CIKM, 2016)

Influence of Reviewer Interaction Network on Long-Term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics. - Sandipan Sikdar; Matteo Marsili; Niloy Ganguly; Animesh Mukherjee 001 (JCDL, 2017)

Emergence and Relevance of Criticality in Deep Learning. - Juyong Song; Matteo Marsili; Junghyo Jo (CoRR, 2017)

On Maximum Entropy and Inference. - Luigi Gresele; Matteo Marsili (Entropy, 2017)

The Stochastic Complexity of Spin Models: Are Pairwise Models Really Simple? - Alberto Beretta; Claudia Battistin; Clélia de Mulatier; Iacopo Mastromatteo; Matteo Marsili (Entropy, 2018)

Minimum Description Length Codes Are Critical. - Ryan John Cubero; Matteo Marsili; Yasser Roudi (Entropy, 2018)

Maximal Relevance and Optimal Learning Machines. - O. Duranthon; Matteo Marsili; Rongrong Xie (CoRR, 2019)

Thermodynamic Computing. - Tom Conte 001; Erik DeBenedictis; Natesh Ganesh; Todd Hylton; John Paul Strachan; R. Stanley Williams; Alexander A. Alemi; Lee Altenberg; Gavin E. Crooks; James P. Crutchfield; Lídia del Rio; Josh Deutsch; et al. (CoRR, 2019)

On the Complexity of Logistic Regression Models. - Nicola Bulso; Matteo Marsili; Yasser Roudi (Neural Comput., 2019)

Characterising Authors on the Extent of their Paper Acceptance: A Case Study of the Journal of High Energy Physics. - Rima Hazra; Aryan; Hardik Aggarwal; Matteo Marsili; Animesh Mukherjee 001 (JCDL, 2020)

Optimal Work Extraction and the Minimum Description Length Principle. - Léo Touzo; Matteo Marsili; Neri Merhav; Édgar Roldán (CoRR, 2020)

Statistical Inference of Minimally Complex Models. - Clélia de Mulatier; Paolo P. Mazza; Matteo Marsili (CoRR, 2020)

Multiscale relevance and informative encoding in neuronal spike trains. - Ryan John Cubero; Matteo Marsili; Yasser Roudi (J. Comput. Neurosci., 2020)

On the effectiveness of the scientific peer-review system: a case study of the Journal of High Energy Physics. - Sandipan Sikdar; Paras Tehria; Matteo Marsili; Niloy Ganguly; Animesh Mukherjee 001 (Int. J. Digit. Libr., 2020)

A random energy approach to deep learning. - Rongrong Xie; Matteo Marsili (CoRR, 2021)

Quantifying Relevance in Learning and Inference. - Matteo Marsili; Yasser Roudi (CoRR, 2022)

Occam learning. - Rongrong Xie; Matteo Marsili (CoRR, 2022)

Is stochastic thermodynamics the key to understanding the energy costs of computation? - David H. Wolpert; Jan Korbel; Christopher Lynn; Farita Tasnim; Joshua A. Grochow; Gülce Kardes; James B. Aimone; Vijay Balasubramanian; Eric De Giuli; David Doty; Nahuel Freitas; Matteo Marsili; et al. (CoRR, 2023)

Lost in Retraining: Roaming the Parameter Space of Exponential Families Under Closed-Loop Learning. - Fariba Jangjoo; Matteo Marsili; Yasser Roudi (CoRR, 2025)