activity
20102026
most citedPotentials of Mean Force for Protein Structure Prediction Vindicated, Formalized and Generalized

78 citations · 253 across the 56 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.LG2025

Kinetic Langevin Diffusion for Crystalline Materials Generation

François Cornet, Federico Bergamin, Arghya Bhowmik +3

Generative modeling of crystalline materials using diffusion models presents a series of challenges: the data distribution is characterized by inherent symmetries and involves mult…

cs.LG2025

Exploring bidirectional bounds for minimax-training of Energy-based models

Cong Geng, Jia Wang, Li Chen +3

Energy-based models (EBMs) estimate unnormalized densities in an elegant framework, but they are generally difficult to train. Recent work has linked EBMs to generative adversarial…

cs.LG2025★ 1 cited

Zero-shot protein stability prediction by inverse folding models: a free energy interpretation

Jes Frellsen, Maher M. Kassem, Tone Bengtsen +4

Inverse folding models have proven to be highly effective zero-shot predictors of protein stability. Despite this success, the link between the amino acid preferences of an inverse…

cs.LG2025

Hyper-Transforming Latent Diffusion Models

Ignacio Peis, Batuhan Koyuncu, Isabel Valera +1

We introduce a novel generative framework for functions by integrating Implicit Neural Representations (INRs) and Transformer-based hypernetworks into latent variable models. Unlik…

cs.LG2025

Learning Energy-Based Models by Self-normalising the Likelihood

Hugo Senetaire, Paul Jeha, Pierre-Alexandre Mattei +1

Training an energy-based model (EBM) with maximum likelihood is challenging due to the intractable normalisation constant. Traditional methods rely on expensive Markov chain Monte…

cs.LG2025

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Cheuk Kit Lee, Paul Jeha, Jes Frellsen +3

Discrete diffusion models are a class of generative models that produce samples from an approximated data distribution within a discrete state space. Often, there is a need to targ…

physics.class-ph2025

The magnetic scalar potential for a rectangular prism

Berian James, Stefan Pollok, Jes Frellsen +1

We analytically solve Poisson's equation for the magnetic scalar potential generated by a uniformly magnetized rectangular prism and determine a closed-form solution for the magnet…