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sebastien Boyer

Laval
As seen in: Environmental Health Perspectives, Medium, Wiley Online Library, Business 2 Community, BioRxiv, SmartBrief, Dialnet - Universidad de La Rioja, Jeff Bullas's Blog, Ventureburn, TweakYourBiz
Citoyen impliqué. Membre du CE de l'école de quartier. Ex Membre du CE de generationdidees.ca Ex Membre du CA de L'OQAJ et Papa Je tweet en mon nom.

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Articles

Bayes-PD: Exploring a Sequence to Binding Bayesian Neural Network model trained on Phage Display data

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By Michael Blank, Oliver Bent, sebastien Boyer
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Misogyny, politics, and social media determinants of hostile engagement against women parliamentarians on Twitter

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By Marius Sältzer, sebastien Boyer, Jana Boukemia
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda Misogyny, politics, and social media determinants of hostile engagement against women parliamentarians on Twitter Autores: Jana Boukemia, Marius Sältzer, Sébastien Boyer Localización: Legislative studies quarterly, ISSN 0362-9805, Vol. 50, N. 3, 2025 Idioma: inglés Enlaces Texto Completo Ejemplar Resumen Politicians use social media to engage directly with the public using diverse communication styles including aggressive or uncivil language.
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Offline RL for generative design of protein binders

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By Denis Tarasov, Miguel Arbesú, sebastien Boyer, Nima Siboni
| BioRxiv
Abstract Offline Reinforcement Learning (RL) offers a compelling avenue for solving RL problems without the need for interactions with an environment, which may be expensive or unsafe. While online RL methods have found success in various domains, such as de novo Structure-Based Drug Discovery (SBDD), they struggle when it comes to optimizing essential properties derived from protein-ligand docking.
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