Pierre Bessière, Ph.D.
Affiliations: | CNRS, Collège de France - LPPA |
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Publications
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| Turck C, Harabi KE, Pontlevy A, et al. (2025) The logarithmic memristor-based Bayesian machine. Communications Engineering. 4: 35 |
| Faix M, Laurent R, Bessiere P, et al. (2019) Design of Stochastic Machines Dedicated to Approximate Bayesian Inferences Ieee Transactions On Emerging Topics in Computing. 7: 60-66 |
| Friedman JS, Droulez J, Bessière P, et al. (2017) Approximation enhancement for stochastic Bayesian inference International Journal of Approximate Reasoning. 85: 139-158 |
| Coninx A, Bessière P, Droulez J. (2017) Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals International Journal of Approximate Reasoning. 83: 400-412 |
| Colliaux D, Bessière P, Droulez J. (2017) Cell signaling as a probabilistic computer International Journal of Approximate Reasoning. 83: 385-399 |
| Bessière P, Diard J, Colas F. (2016) Modèles probabilistes formels pour problèmes cognitifs usuels Intellectica. Revue De L'Association Pour La Recherche Cognitive. 65: 111-141 |
| Calvet LE, Friedman JS, Querlioz D, et al. (2016) Sleep stage classification with stochastic Bayesian inference Proceedings of the 2016 Ieee/Acm International Symposium On Nanoscale Architectures, Nanoarch 2016. 117-122 |
| Friedman JS, Calvet LE, Bessiere P, et al. (2016) Bayesian inference with Muller C-elements Ieee Transactions On Circuits and Systems I: Regular Papers. 63: 895-904 |
| Colliaux D, Bessière P, Droulez J. (2014) Robust sequence storage in bistable oscillators Proceedings of the 2014 Ieee/Acm International Symposium On Nanoscale Architectures, Nanoarch 2014. 90-91 |
| Colas F, Bessière P, Girard B. (2010) Maximum entropy perception-action space: A Bayesian model of eye movement selection Aip Conference Proceedings. 1305: 83-90 |