Infering an ontology of single cell motions from high-throughput microscopy data. - Alice Schoenauer Sebag; Sandra Plancade; Céline Raulet-Tomkiewicz; Robert Barouki; Jean-Philippe Vert; Thomas Walter 003 (ISBI, 2015)

A generic methodological framework for studying single cell motility in high-throughput time-lapse data. - Alice Schoenauer Sebag; Sandra Plancade; Céline Raulet-Tomkiewicz; Robert Barouki; Jean-Philippe Vert; Thomas Walter 003 (Bioinform., 2015)

Stochastic Gradient Descent: Going As Fast As Possible But Not Faster. - Alice Schoenauer Sebag; Marc Schoenauer; Michèle Sebag (CoRR, 2017)

Multi-Domain Adversarial Learning. - Alice Schoenauer Sebag; Louise Heinrich; Marc Schoenauer; Michèle Sebag; Lani F. Wu; Steven J. Altschuler (ICLR (Poster), 2019)

A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter. - Kyra Yee; Alice Schoenauer Sebag; Olivia Redfield; Emily Sheng; Matthias Eck; Luca Belli (CoRR, 2022)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

The Multilingual Divide and Its Impact on Global AI Safety. - Aidan Peppin; Julia Kreutzer; Alice Schoenauer Sebag; Kelly Marchisio; Beyza Ermis; John Dang; Samuel Cahyawijaya; Shivalika Singh; Seraphina Goldfarb-Tarrant; Viraat Aryabumi; Aakanksha; Wei-Yin Ko; et al. (CoRR, 2025)