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Jiajun He

University of Cambridge

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#machine learning Open access Apr 2025

FEAT: Free energy Estimators with Adaptive Transport

A novel framework for free energy estimation that leverages learned transports implemented via stochastic interpolants and provides consistent, minimum-variance estimators based on escorted Jarzynski equality and controlled Crooks theorem, alongside variational upper and lower bounds on free energy differences.

Jiajun He, Yuan-Qi Du, Francisco Vargas et al. · 23 citations · ⚡1
#machine learning Preprint Sep 2026

METALICA: METAdynamics and repLICA exchange for enhanced diffusion sampling

METALICA, which implements Metadynamics on a pretrained diffusion model via Replica Exchange, is introduced, which implements Metadynamics on a pretrained diffusion model via Replica Exchange and accumulates a bias potential along a Collective Variable, repels new samples from previous ones through biased sampling, and...

Alireza Omidi, Jiajun He, Jörg Gsponer et al. · 1 citation
Open access Jul 2026

De Novo Design of Protein Switches with Diffusion-Based Ensemble Sampling

Diff-Switch is introduced, a framework for sampling switch-like backbone ensembles from pretrained protein diffusion models that preserves local domain geometry while encouraging diversity in global domain arrangements along user-specified collective variables, inspired by metadynamics.

Alireza Omidi, Jiajun He, Jennifer M. Bui et al. · 0 citations

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