Skip to content
Bayesian Programming

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

Research

Hardware Research 

A Memristor-Based Bayesian Machine

3 January 20223 January 2022 Zaphod 0 Comments

Kamel-Eddine Harabi, Tifenn Hirtzlin, Clément Turck, Elisa Vianello, Raphaël Laurent, Jacques Droulez,  Pierre Bessière, Jean-Michel Portal, Marc Bocquet, Damien Querlioz In recent years, a considerable research effort has

Read more
Research Robotics 

Hierarchical Probabilistic Model of bipedal locomotion

26 November 202126 November 2021 Zaphod 0 Comments

PhD thesis of Raphaël Rose-Andrieux (2016) Humanoid robots have always fascinated due to the vast possibilities they encompass. Indeed, a

Read more
Hardware Research 

Stochastic machines dedicated to Bayesian inference

8 November 202129 November 2021 Zaphod 0 Comments

Source localization and separation PhD thesis of Raphael frisch (2019) Computers are without doubt one of the most important invention

Read more
Hardware Research 

Skyrmion Gas Manipulation for Probabilistic Computing

8 November 20213 December 2021 Zaphod 0 Comments

The topologically protected magnetic spin configurations known as Skyrmions offer promising applications due to their stability, mobility, and localization. We

Read more
Hardware Research 

Design of Stochastic Machines Dedicated to Approximate Bayesian inferences

8 November 20213 December 2021 Zaphod 0 Comments

PhD thesis of Marvin Faix (2016) The aim of this research is to design computers best suited to do probabilistic

Read more
Cognitive Science Hardware Research 

Cell signaling as a probabilistic computer

8 November 202116 November 2021 Zaphod 0 Comments

Cell signaling as a probabilistic computer PostDoc de David Colliaux (2016) Living organisms survive and multiply even though they have

Read more
Hardware Research 

Bayesian Inference With Muller C-Elements

8 November 20213 December 2021 Zaphod 0 Comments

Bayesian inference is a powerful approach for integrating independent conflicting information for decision-making. Though an important component of robotic, biological,

Read more
Cognitive Science Research 

Computer simulations of coupled idiosyncrasies in speech perception and speech production with COSMO

8 November 202129 November 2021 Zaphod 0 Comments

PhD thesis of Marie-Lou Barnaud (2016) Through perception and production tasks, humans are able to manipulate not only high-level units

Read more
Research Robotics 

Bayesian Models for Video Games

5 November 202126 November 2021 Zaphod 0 Comments

Ph.D thesis of Gabriel Synnaeve (2012) The goal of this work is to explore how Bayesian models can be used

Read more
Cognitive Science Research 

COSMO: a Bayesian model of sensorimotor interactions in speech perception

5 November 202116 November 2021 Zaphod 0 Comments

COSMO: a Bayesian model of sensorimotor interactions in speech perception Ph.D thesis of Raphael Laurent (2014) There is a consensus

Read more
  • ← Previous
Copyright © 2023 Bayesian Programming. All rights reserved.
Theme: ColorMag by ThemeGrill. Powered by WordPress.