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Bayesian Programming
Probability as an extension of logic
Introduction
Probability : an alternative and extension of logic
A need for a new computing paradigm
A need for a new modeling methodology
A need for new inference algorithms
A need for a new programming language
A need for new hardware
Research
Hardware
A Memristor-Based Bayesian Machine
Stochastic machines dedicated to Bayesian inference
Skyrmion Gas Manipulation for Probabilistic Computing
Design of Stochastic Machines Dedicated to Approximate Bayesian inferences
Cell signaling as a probabilistic computer
Bayesian Inference With Muller C-Elements
Cognitive Science
Cell signaling as a probabilistic computer
Computer simulations of coupled idiosyncrasies in speech perception and speech production with COSMO
COSMO: a Bayesian model of sensorimotor interactions in speech perception
The role of perception-action relations in spoken communication and the emergence of phonological systems
Bayesian models of eye movement selection with retinotopic maps
Bayesian modeling of a sensori-motor loop
The probabilistic cell
Bayesian learning : foundations, method and applications.
Perception of shape from motion
Bayesian processing of vestibular information
3D human hip volume reconstruction.
Bayesian Approach to Action Selection and Attention Focusing.
Building a talking baby robot
Robotics
Hierarchical Probabilistic Model of bipedal locomotion
Bayesian Models for Video Games
Playing to train your video game avatar
Bayesian Cognitive Models for 3D Structure and Motion Multimodal Perception
Semi-Autonomous Navigation of an Assistive Robot Using Low Throughput Interfaces
Topological SLAM
Perceptual navigation around a sensory-motor trajectory
The Bayesian map
Robotic Arm Bayesian Programming
Bayesian Occupancy Filtering (BOF)
A robotic CAD system using a Bayesian framework
Bayesian Robot Programming
Structural identification
Contingent representation
The Ariadne’s clew algorithm
Industry
Probayes
HawAI.tech
People
Key-people
Ahuactzin Juan-Manuel
Bessière Pierre
Diard Julien
Droulez Jacques
Mazer Emmanuel
Mekhnacha Kamel
Collaborations
Dias Jorge
Grollier Julie
Querlioz Damien
Lobo Jorge
Schwartz Jean-Luc
Siegwart Roland
Alumni
FAQ&FAM
Bayesian programming versus Bayesian networks
Bayesian programming versus possibility theories
Cox theorem
Discrete versus continuous variables
Incompleteness irreducibility
Noise or ignorance
Objectivism versus subjectivism controversy and the “mind projection fallacy”
Computational complexity of Bayesian inference
Podcasts
French Podcasts
Modèles bayésiens des systèmes sensori-moteur
Une formule mathématique universelle existe-t-elle ?
Globish Podcasts
Sorry for my English
Bayesian models of sensory-motor systems
Maximum Entropy Principle (for dummies)
Get in touch
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Books
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