PublicationsImproving Neural Additive Models with Bayesian PrinciplesK. Bouchiat, A. Immer, H. Yèche, G. Rätsch, and V. FortuinICML 2024 •PDFGitHubPosters & TalksTowards a Modular Foundation Model for Fusion: Pretraining on Raw Diagnostic Data at ScaleK. Bouchiat, P. Steiner, A. Jalalvand, N. Chen, S. Smith, B. Sammuli, et al.APS DPP 2026 •PDFTowards a Foundation Model for Fusion: Representation Learning of Plasma StateK. Bouchiat, N. Chen, P. Steiner, A. Jalalvand, and E. KolemenAPS DPP 2025 •PDFAdvances in Laplace Inference for Bayesian Deep LearningK. Bouchiat• March 25th, 2025, 11:00am CETINRIA Grenoble •PDF