Follow
Antoine Bodin
Antoine Bodin
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
A Bodin, N Macris
35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
132021
Gradient flow on extensive-rank positive semi-definite matrix denoising
A Bodin, N Macris
2023 IEEE Information Theory Workshop (ITW), 2023
62023
Rank-one matrix estimation: analytic time evolution of gradient descent dynamics
A Bodin, N Macris
Thirty Fourth Conference on Learning Theory (COLT) 134, 635-678, 2021
62021
Gradient flow in the gaussian covariate model: exact solution of learning curves and multiple descent structures
A Bodin, N Macris
arXiv preprint arXiv:2212.06757, 2022
22022
Random matrix methods for high-dimensional machine learning models
APM Bodin
EPFL, 2024
2024
Systems and methods for integration of disparate data feeds for unified data monitoring
US Patent US11227288B1, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–6