Vargas, Francisco

20 publications

ICLRW 2025 Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Lee Cheuk Kit, Paul Jeha, Jes Frellsen, Pietro Lio, Michael Samuel Albergo, Francisco Vargas

NeurIPS 2025 FEAT: Free Energy Estimators with Adaptive Transport Yuanqi Du, Jiajun He, Francisco Vargas, Yuanqing Wang, Carla P Gomes, José Miguel Hernández-Lobato, Eric Vanden-Eijnden

ICLRW 2025 Flows Don't Cross in High Dimension Teodora Reu, Sixtine Dromigny, Michael M. Bronstein, Francisco Vargas

NeurIPS 2025 Gradient Variance Reveals Failure Modes in Flow-Based Generative Models Teodora Reu, Sixtine Dromigny, Michael M. Bronstein, Francisco Vargas

ICLRW 2025 Iterative Importance Fine-Tuning of Diffusion Models Alexander Denker, Shreyas Padhy, Francisco Vargas, Johannes Hertrich

ICML 2025 NMA-Tune: Generating Highly Designable and Dynamics Aware Protein Backbones Urszula Julia Komorowska, Francisco Vargas, Alessandro Rondina, Pietro Lio, Mateja Jamnik

ICLRW 2025 No Trick, No Treat: Pursuits and Challenges Towards Simulation-Free Training of Neural Samplers Jiajun He, Yuanqi Du, Francisco Vargas, Dinghuai Zhang, Shreyas Padhy, RuiKang OuYang, Carla P Gomes, José Miguel Hernández-Lobato

ICML 2024 Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann

NeurIPS 2024 DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-Transform Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio

ICLR 2024 Dynamics-Informed Protein Design with Structure Conditioning Urszula Julia Komorowska, Simon V Mathis, Kieran Didi, Francisco Vargas, Pietro Lio, Mateja Jamnik

NeurIPSW 2024 Improving Antibody Design with Force-Guided Sampling in Diffusion Models Paulina Kulytė, Francisco Vargas, Simon V Mathis, Yu Guang Wang, José Miguel Hernández-Lobato, Pietro Lio

NeurIPSW 2024 Path Integral Optimiser: Global Optimisation via Neural Schrödinger-Föllmer Diffusion Max McGuinness, Eirik Fladmark, Francisco Vargas

UAI 2024 To Smooth a Cloud or to Pin It Down: Expressiveness Guarantees and Insights on Score Matching in Denoising Diffusion Models Teodora Reu, Francisco Vargas, Anna Kerekes, Michael Bronstein

ICLR 2024 Transport Meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas, Shreyas Padhy, Denis Blessing, Nikolas Nüsken

NeurIPSW 2023 A Framework for Conditional Diffusion Modelling with Applications in Motif Scaffolding for Protein Design Kieran Didi, Francisco Vargas, Simon Mathis, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio

ICLR 2023 Denoising Diffusion Samplers Francisco Vargas, Will Sussman Grathwohl, Arnaud Doucet

ICMLW 2023 Dimensionality Reduction as Probabilistic Inference Aditya Ravuri, Francisco Vargas, Vidhi Lalchand, Neil D Lawrence

ICMLW 2023 Transport, VI, and Diffusions Francisco Vargas, Nikolas Nüsken

ICLRW 2022 Efficient Privacy-Preserving Inference for Convolutional Neural Networks Han Xuanyuan, Francisco Vargas, Stephen Cummins

ICML 2019 Model Comparison for Semantic Grouping Francisco Vargas, Kamen Brestnichki, Nils Hammerla