Jonathan Vacher

20 papers A* 2B 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Neural Networks as Iterated Function Systems and a Generalization Bound.
CoRR
Jonathan Vacher
2024 — conf
Formal stabilization of a coupled ODE-PDE switched system.
CDC
Adrien Le Coënt, Jonathan Vacher, Kenan Kergrene
2024 A* conf
Perceptual Scales Predicted by Fisher Information Metrics.
ICLR
Jonathan Vacher, Pascal Mamassian
2023 J jnl
Measuring uncertainty in human visual segmentation.
CoRR
Jonathan Vacher, Claire Launay, Pascal Mamassian, Ruben Coen Cagli
2023 J jnl
Measuring uncertainty in human visual segmentation.
PLoS Comput. Biol.
Jonathan Vacher, Claire Launay, Pascal Mamassian, Ruben Coen Cagli
2023 J jnl
Perceptual Measurements, Distances and Metrics.
CoRR
Jonathan Vacher, Pascal Mamassian
2022 J jnl
Flexibly regularized mixture models and application to image segmentation.
Neural Networks
Jonathan Vacher, Claire Launay, Ruben Coen Cagli
2022 B conf
Unsupervised Video Segmentation Algorithms Based On Flexibly Regularized Mixture Models.
ICIP
Claire Launay, Jonathan Vacher, Ruben Coen Cagli
2021 J jnl
The Portilla-Simoncelli Texture Model: towards Understanding the Early Visual Cortex.
Image Process. Line
Jonathan Vacher, Thibaud Briand
2020 A* conf
Texture Interpolation for Probing Visual Perception.
NeurIPS
Jonathan Vacher, Aida Davila, Adam Kohn, Ruben Coen Cagli
2020 J jnl
Texture Interpolation for Probing Visual Perception.
CoRR
Jonathan Vacher, Aida Davila, Adam Kohn, Ruben Coen Cagli
2019 J jnl
Combining mixture models with linear mixing updates: multilayer image segmentation and synthesis.
CoRR
Jonathan Vacher, Ruben Coen Cagli
2018 J jnl
An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images.
CoRR
Jonathan Vacher, Pascal Mamassian, Ruben Coen Cagli
2018 J jnl
Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures.
Neural Comput.
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
2018 — conf
Control Synthesis for Stochastic Switched Systems using the Tamed Euler Method.
ADHS
Adrien Le Coënt, Laurent Fribourg, Jonathan Vacher
2016 J jnl
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures.
CoRR
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
2016 J jnl
How to Apply a Filter Defined in the Frequency Domain by a Continuous Function.
Image Process. Line
Thibaud Briand, Jonathan Vacher
2015 — conf
Biologically Inspired Dynamic Textures for Probing Motion Perception.
NIPS
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
2015 J jnl
Biologically Inspired Dynamic Textures for Probing Motion Perception.
CoRR
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré
2014 J jnl
The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm.
Image Process. Line
Thibaud Briand, Jonathan Vacher, Bruno Galerne, Julien Rabin