1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2025★ 1 cited
Minimum-Excess-Work Guidance
Christopher Kolloff, Tobias Höppe, Emmanouil Angelis +4
We propose a regularization framework inspired by thermodynamic work for guiding pre-trained probability flow generative models (e.g., continuous normalizing flows or diffusion mod…
q-bio.BM2022
Machine Learning in Molecular Dynamics Simulations of Biomolecular Systems
Christopher Kolloff, Simon Olsson
Machine learning (ML) has emerged as a pervasive tool in science, engineering, and beyond. Its success has also led to several synergies with molecular dynamics (MD) simulations, w…