The Bayesian Draughtsman: A Model for Visuomotor Coordination in Drawing. - Ruben Coen Cagli; Paolo Coraggio; Paolo Napoletano; Giuseppe Boccignone (BVAI, 2007)

DrawBot: a bio-inspired robotic portraitist. - Ruben Coen Cagli; Paolo Coraggio; Paolo Napoletano (Digit. Creativity, 2007)

Sensorimotor coupling via dynamic bayesian networks. - Ruben Coen Cagli; Paolo Napoletano; Paolo Coraggio; Giuseppe Boccignone; Agostino De Santis (ICRA, 2008)

What the Draughtsman's Hand Tells the Draughtsman's Eye: a Sensorimotor Account of Drawing. - Ruben Coen Cagli; Paolo Coraggio; Paolo Napoletano; Giuseppe Boccignone (Int. J. Pattern Recognit. Artif. Intell., 2008)

Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing. - Ruben Coen Cagli; Peter Dayan; Odelia Schwartz (NIPS, 2009)

Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics. - Ruben Coen Cagli; Peter Dayan; Odelia Schwartz (PLoS Comput. Biol., 2012)

Measuring Fisher Information Accurately in Correlated Neural Populations. - Ingmar Kanitscheider; Ruben Coen Cagli; Adam Kohn; Alexandre Pouget (PLoS Comput. Biol., 2015)

An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. - Jonathan Vacher; Pascal Mamassian; Ruben Coen Cagli (CoRR, 2018)

Combining mixture models with linear mixing updates: multilayer image segmentation and synthesis. - Jonathan Vacher; Ruben Coen Cagli (CoRR, 2019)

Conditional Finite Mixtures of Poisson Distributions for Context-Dependent Neural Correlations. - Sacha Sokoloski; Ruben Coen Cagli (CoRR, 2019)

Texture Interpolation for Probing Visual Perception. - Jonathan Vacher; Aida Davila; Adam Kohn; Ruben Coen Cagli (NeurIPS, 2020)

Investigating the representation of uncertainty in neuronal circuits. - Guillaume P. Dehaene; Ruben Coen Cagli; Alexandre Pouget (PLoS Comput. Biol., 2021)

Unsupervised Video Segmentation Algorithms Based On Flexibly Regularized Mixture Models. - Claire Launay; Jonathan Vacher; Ruben Coen Cagli (ICIP, 2022)

Flexibly regularized mixture models and application to image segmentation. - Jonathan Vacher; Claire Launay; Ruben Coen Cagli (Neural Networks, 2022)

Measuring uncertainty in human visual segmentation. - Jonathan Vacher; Claire Launay; Pascal Mamassian; Ruben Coen Cagli (PLoS Comput. Biol., 2023)

Modeling the diverse effects of divisive normalization on noise correlations. - Oren Weiss; Hayley A. Bounds; Hillel Adesnik; Ruben Coen Cagli (PLoS Comput. Biol., 2023)

Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks. - Xu Pan; Ruben Coen Cagli; Odelia Schwartz (Neural Comput., 2024)