Stéphane Rivaud
Postdoctoral Researcher · INRIA Saclay · TAU Team
Postdoctoral Researcher · INRIA Saclay · TAU Team
I develop functional optimization methods for neural architecture growth and decentralized machine learning for hardware acceleration. My work focuses on efficient training methods, generative modeling, and integrating domain knowledge into deep learning systems.
Course design and delivery for 50+ students (lectures & practical sessions) · Course materials
Practical sessions · Course materials
Practical sessions
Lectures
Lectures
Oral Examiner
Transformer Architecture Growth
Parallelizable training in deep learning through local and distributed approaches. Published 2 papers at ICLR and ICML. [Thesis]
Bird Vocalization Classification with Few-Shot Learning
Integration of Expert Knowledge in Generative Modeling: Application to Music Production
Comprehensive web-based dashboard for exploring bird population monitoring data from Martinique's 12-year monitoring program. Features interactive visualizations with statistical analysis including Mann-Kendall trend tests, linear regression for population trajectories, and k-means clustering for observer network analysis. The dashboard processes 114,495 observations across 47 species, providing real-time filtering, habitat-specific biodiversity trends, and species population trajectories.