125 citations · 190 across the 8 of their papers we have counts for
8 papers
A Memristor-Based Bayesian Machine
Kamel-Eddine Harabi, Tifenn Hirtzlin, Clément Turck +7
In recent years, a considerable research effort has shown the energy benefits of implementing neural networks with memristors or other emerging memory technologies. However, for ex…
Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals
Alexandre Coninx, Pierre Bessière, Jacques Droulez
Reconstruction of the tridimensional geometry of a visual scene using the binocular disparity information is an important issue in computer vision and mobile robotics, which can be…
Toward Biochemical Probabilistic Computation
Jacques Droulez, David Colliaux, Audrey Houillon +1
Living organisms survive and multiply even though they have uncertain and incomplete information about their environment and imperfect models to predict the consequences of their a…
A Dataset for StarCraft AI \& an Example of Armies Clustering
Gabriel Synnaeve, Pierre Bessiere
This paper advocates the exploration of the full state of recorded real-time strategy (RTS) games, by human or robotic players, to discover how to reason about tactics and strategy…
A Bayesian Model for Plan Recognition in RTS Games applied to StarCraft
Gabriel Synnaeve, Pierre Bessière
The task of keyhole (unobtrusive) plan recognition is central to adaptive game AI. "Tech trees" or "build trees" are the core of real-time strategy (RTS) game strategic (long term)…
The Ariadne's Clew Algorithm
J. M. Ahuactzin, P. Bessiere, E. Mazer
We present a new approach to path planning, called the "Ariadne's clew algorithm". It is designed to find paths in high-dimensional continuous spaces and applies to robots with man…
Bayesian Modeling of a Human MMORPG Player
Gabriel Synnaeve, Pierre Bessiere
This paper describes an application of Bayesian programming to the control of an autonomous avatar in a multiplayer role-playing game (the example is based on World of Warcraft). W…
Approximate Discrete Probability Distribution Representation using a Multi-Resolution Binary Tree
David Bellot, Pierre Bessiere
Computing and storing probabilities is a hard problem as soon as one has to deal with complex distributions over multiple random variables. The problem of efficient representation…