Nicolas Thiebaut

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Generative Model

Top Venues

Comput. Methods Programs Biomed.

Publications

Nameer Hirschkind, Xiao Yu, Mahesh Kumar Nandwana, Joseph Liu, Eloi du Bois, Dao Le, Nicolas Thiebaut, Colin Sinclair, Kyle Spence, Charles Shang, Zoë Abrams, Morgan McGuire
Diffusion Synthesizer for Efficient Multilingual Speech to Speech Translation. CoRR (2024)
Jonathan Hourany, Aaron Zira, Ignacio Avas, Nicolas Thiebaut
Learning Résumé Embeddings with Search Data and Transformers. SMC (2023)
Antoine Simoulin, Nicolas Thiebaut, Karl Neuberger, Issam Ibnouhsein, Nicolas J.-B. Brunel, Raphaël Viné, Nicolas Bousquet, Jules Latapy, Nathalie Reix, Sébastien Molière, Massimo Lodi, Carole Mathelin
From free-text electronic health records to structured cohorts: Onconum, an innovative methodology for real-world data mining in breast cancer. Comput. Methods Programs Biomed. 240 (2023)
Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta
CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs. UAI (2022)
Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta
Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks. WSDM (2021)
Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta
Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks. CoRR (2020)
Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets. CoRR (2020)
Nicolas Thiebaut, Antoine Simoulin, Karl Neuberger, Issam Ibnouhsein, Nicolas Bousquet, Nathalie Reix, Sébastien Molière, Carole Mathelin
An innovative solution for breast cancer textual big data analysis. CoRR (2017)