Stereo Correspondence From Optic Flow. - Valérie Cornilleau-Pérès; Jacques Droulez (ECCV, 1990)

Does the brain use sliding variables for the control of movements? - S. Hanneton; Alain Berthoz; Jacques Droulez; Jean-Jacques E. Slotine (Biol. Cybern., 1997)

Visual Encoding of Tilt from Optic Flow: Psychophysics and Computational Modelling. - Huiying Zhong; Valérie Cornilleau-Pérès; Loong Fah Cheong; Jacques Droulez (ECCV (2), 2000)

Prototyping of a Biologically-Plausible Vision System for Robotic Applications. - René Zapata; Pascal Lépinay; L. Torres; Jacques Droulez; Vincent Creuze (SBCCI, 2000)

Role of Lateral Acceleration in Curve Driving: Driver Model and Experiments on a Real Vehicle and a Driving Simulator. - Gilles Reymond; Andras Kemeny; Jacques Droulez; Alain Berthoz (Hum. Factors, 2001)

Analysis of Pointing Errors Reveals Properties of Data Representations and Coordinate Transformations Within the Central Nervous System. - Joseph McIntyre; F. Stratta; Jacques Droulez; Francesco Lacquaniti (Neural Comput., 2001)

Visuovestibular perception of self-motion modeled as a dynamic optimization process. - Gilles Reymond; Jacques Droulez; Andras Kemeny (Biol. Cybern., 2002)

A unified probabilistic model of the perception of three-dimensional structure from optic flow. - Francis Colas; Jacques Droulez; Mark Wexler; Pierre Bessière (Biol. Cybern., 2007)

Bayesian processing of vestibular information. - Jean Laurens; Jacques Droulez (Biol. Cybern., 2007)

Processing 3D form and 3D motion: Respective contributions of attention-based and stimulus-driven activity. - Anne-Lise Paradis; Jacques Droulez; Valérie Cornilleau-Pérès; Jean-Baptiste Poline (NeuroImage, 2008)

Bayesian Modelling of Perception of Structure from Motion. - Francis Colas; Pierre Bessière; Jacques Droulez; Mark Wexler (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

Bayesian Modelling of Visuo-Vestibular Interactions. - Jean Laurens; Jacques Droulez (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

A probabilistic approach to camera pose and calibration from a small set of point and line correspondences. - Thomas Chaperon; Jacques Droulez; Guillaume Thibault (ICCV Workshops, 2009)

A perceptive evaluation of volume rendering techniques. - Christian Boucheny; Georges-Pierre Bonneau; Jacques Droulez; Guillaume Thibault; Stéphane Ploix (ACM Trans. Appl. Percept., 2009)

Visualization of uncertain scalar data fields using color scales and perceptually adapted noise. - Alexandre Coninx; Georges-Pierre Bonneau; Jacques Droulez; Guillaume Thibault (APGV, 2011)

Reliable camera pose and calibration from a small set of point and line correspondences: A probabilistic approach. - Thomas Chaperon; Jacques Droulez; Guillaume Thibault (Comput. Vis. Image Underst., 2011)

Robust sequence storage in bistable oscillators. - David Colliaux; Pierre Bessière; Jacques Droulez (NANOARCH, 2014)

Decision Making under Uncertainty: A Quasimetric Approach. - Steve N'Guyen; Clément Moulin-Frier; Jacques Droulez (CoRR, 2014)

Robust Fusion of Trackers Using Online Drift Prediction. - Isabelle Leang; Stéphane Herbin; Benoît Girard 001; Jacques Droulez (ACIVS, 2015)

Probing models of minimal swimming vehicules in vivo with microalgae phototaxis. - David Colliaux; Lia Giraud; Claude Yéprémian; Pierre Bessière; Jacques Droulez (ECAL, 2015)

Toward Biochemical Probabilistic Computation. - Jacques Droulez; David Colliaux; Audrey Houillon; Pierre Bessière (CoRR, 2015)

Bayesian sensor fusion with fast and low power stochastic circuits. - Alexandre Coninx; Pierre Bessière; Emmanuel Mazer; Jacques Droulez; Raphaël Laurent; M. Awais Aslam; Jorge Lobo 002 (ICRC, 2016)

Sleep stage classification with stochastic Bayesian inference. - Laurie E. Calvet; Joseph S. Friedman; Damien Querlioz; Pierre Bessière; Jacques Droulez (NANOARCH, 2016)

Bayesian Inference With Muller C-Elements. - Joseph S. Friedman; Laurie E. Calvet; Pierre Bessière; Jacques Droulez; Damien Querlioz (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

A Bayesian Stochastic Machine for Sound Source Localization. - Raphael Frisch; Raphaël Laurent; Marvin Faix; Laurent Girin; Laurent Fesquet; Augustin Lux; Jacques Droulez; Pierre Bessière; Emmanuel Mazer (ICRC, 2017)

Cell signaling as a probabilistic computer. - David Colliaux; Pierre Bessière; Jacques Droulez (Int. J. Approx. Reason., 2017)

Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals. - Alexandre Coninx; Pierre Bessière; Jacques Droulez (Int. J. Approx. Reason., 2017)

Approximation enhancement for stochastic Bayesian inference. - Joseph S. Friedman; Jacques Droulez; Pierre Bessière; Jorge Lobo 002; Damien Querlioz (Int. J. Approx. Reason., 2017)

On-line fusion of trackers for single-object tracking. - Isabelle Leang; Stéphane Herbin; Benoît Girard 001; Jacques Droulez (Pattern Recognit., 2018)

Bayesian time-domain multiple sound source localization for a stochastic machine. - Raphael Frisch; Marvin Faix; Jacques Droulez; Laurent Girin; Emmanuel Mazer (EUSIPCO, 2019)

Design of Stochastic Machines Dedicated to Approximate Bayesian Inferences. - Marvin Faix; Raphaël Laurent; Pierre Bessière; Emmanuel Mazer; Jacques Droulez (IEEE Trans. Emerg. Top. Comput., 2019)

A Memristor-Based Bayesian Machine. - Kamel-Eddine Harabi; Tifenn Hirtzlin; Clement Türck; Elisa Vianello; Raphaël Laurent; Jacques Droulez; Pierre Bessière; Jean-Michel Portal; Marc Bocquet; Damien Querlioz (CoRR, 2021)

Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors. - Clement Türck; Kamel-Eddine Harabi; Tifenn Hirtzlin; Elisa Vianello; Raphaël Laurent; Jacques Droulez; Pierre Bessière; Marc Bocquet; Jean-Michel Portal; Damien Querlioz (DATE, 2023)

The Logarithmic Memristor-Based Bayesian Machine. - Clement Türck; Kamel-Eddine Harabi; Adrien Pontlevy; Théo Ballet; Tifenn Hirtzlin; Elisa Vianello; Raphaël Laurent; Jacques Droulez; Pierre Bessière; Marc Bocquet; Jean-Michel Portal; Damien Querlioz (CoRR, 2024)