Timothée Devergne
@tdevergne.bsky.social
PhD from @sorbonne-universite.fr now postdoc at IIT. Doing machine learning to study physical and chemical transformations(He/Him)
Reposted by Timothée Devergne
Almost 5 years in the making... "Hyperparameter Optimization in Machine Learning" is finally out! 📘
We designed this monograph to be self-contained, covering: Grid, Random & Quasi-random search, Bayesian & Multi-fidelity optimization, Gradient-based methods, Meta-learning.
arxiv.org/abs/2410.22854
We designed this monograph to be self-contained, covering: Grid, Random & Quasi-random search, Bayesian & Multi-fidelity optimization, Gradient-based methods, Meta-learning.
arxiv.org/abs/2410.22854
December 17, 2025 at 9:54 AM
Almost 5 years in the making... "Hyperparameter Optimization in Machine Learning" is finally out! 📘
We designed this monograph to be self-contained, covering: Grid, Random & Quasi-random search, Bayesian & Multi-fidelity optimization, Gradient-based methods, Meta-learning.
arxiv.org/abs/2410.22854
We designed this monograph to be self-contained, covering: Grid, Random & Quasi-random search, Bayesian & Multi-fidelity optimization, Gradient-based methods, Meta-learning.
arxiv.org/abs/2410.22854
Reposted by Timothée Devergne
I am excited to share with you our new work with Vladimir Kostic, @pontilgroup.bsky.social and Michele Parrinello
doi.org/10.1063/5.02...
doi.org/10.1063/5.02...
Slow dynamical modes from static averages
In recent times, efforts have been made to describe the evolution of a complex system not through long trajectories but via the study of probability distributio
doi.org
March 26, 2025 at 8:08 AM
I am excited to share with you our new work with Vladimir Kostic, @pontilgroup.bsky.social and Michele Parrinello
doi.org/10.1063/5.02...
doi.org/10.1063/5.02...
Reposted by Timothée Devergne
1/ 🚀 Over the past two years, our team, CSML, at IIT, has made significant strides in the data-driven modeling of dynamical systems. Curious about how we use advanced operator-based techniques to tackle real-world challenges? Let’s dive in! 🧵👇
January 15, 2025 at 2:34 PM
1/ 🚀 Over the past two years, our team, CSML, at IIT, has made significant strides in the data-driven modeling of dynamical systems. Curious about how we use advanced operator-based techniques to tackle real-world challenges? Let’s dive in! 🧵👇