Francisco Vargas

38 papers A* 8A 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control. CoRR Riccardo Barbano, Alexander Denker, Zeljko Kereta, Runchang Li, Francisco Vargas
2025	J	`jnl`	CREPE: Controlling Diffusion with Replica Exchange. CoRR Jiajun He, Paul Jeha, Peter Potaptchik, Leo Zhang, José Miguel Hernández-Lobato, Yuanqi Du, Saifuddin Syed, Francisco Vargas
2025	J	`jnl`	Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo. CoRR Cheuk Kit Lee, Paul Jeha, Jes Frellsen, Pietro Lio, Michael Samuel Albergo, Francisco Vargas
2025	J	`jnl`	FEAT: Free energy Estimators with Adaptive Transport. CoRR Jiajun He, Yuanqi Du, Francisco Vargas, Yuanqing Wang, Carla P. Gomes, José Miguel Hernández-Lobato, Eric Vanden-Eijnden
2025	J	`jnl`	Gradient Variance Reveals Failure Modes in Flow-Based Generative Models. CoRR Teodora Reu, Sixtine Dromigny, Michael Bronstein, Francisco Vargas
2025	J	`jnl`	Iterative Importance Fine-tuning of Diffusion Models. CoRR Alexander Denker, Shreyas Padhy, Francisco Vargas, Johannes Hertrich
2025	A*	`conf`	NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones. ICML Urszula Julia Komorowska, Francisco Vargas, Alessandro Rondina, Pietro Lio, Mateja Jamnik
2025	J	`jnl`	No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers. CoRR Jiajun He, Yuanqi Du, Francisco Vargas, Dinghuai Zhang, Shreyas Padhy, Ruikang Ouyang, Carla P. Gomes, José Miguel Hernández-Lobato
2025	J	`jnl`	Path Integral Optimiser: Global Optimisation via Neural Schrödinger-Föllmer Diffusion. CoRR Max McGuinness, Eirik Fladmark, Francisco Vargas
2025	J	`jnl`	RNE: a plug-and-play framework for diffusion density estimation and inference-time control. CoRR Jiajun He, José Miguel Hernández-Lobato, Yuanqi Du, Francisco Vargas
2024	A*	`conf`	Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling. ICML Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann
2024	J	`jnl`	Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling. CoRR Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann
2024	A*	`conf`	DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform. NeurIPS Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Riccardo Barbano, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lió
2024	J	`jnl`	DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform. CoRR Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio
2024	A*	`conf`	Dynamics-Informed Protein Design with Structure Conditioning. ICLR Urszula Julia Komorowska, Simon V. Mathis, Kieran Didi, Francisco Vargas, Pietro Lio, Mateja Jamnik
2024	J	`jnl`	Improving Antibody Design with Force-Guided Sampling in Diffusion Models. CoRR Paulina Kulyte, Francisco Vargas, Simon Valentin Mathis, Yu Guang Wang, José Miguel Hernández-Lobato, Pietro Liò
2024	A	`conf`	To smooth a cloud or to pin it down: Expressiveness guarantees and insights on score matching in denoising diffusion models. UAI Teodora Reu, Francisco Vargas, Anna Kerekes, Michael M. Bronstein
2024	A*	`conf`	Transport meets Variational Inference: Controlled Monte Carlo Diffusions. ICLR Francisco Vargas, Shreyas Padhy, Denis Blessing, Nikolas Nüsken
2023	J	`jnl`	A framework for conditional diffusion modelling with applications in motif scaffolding for protein design. CoRR Kieran Didi, Francisco Vargas, Simon V. Mathis, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio
2023	J	`jnl`	Bayesian learning via neural Schrödinger-Föllmer flows. Stat. Comput. Francisco Vargas, Andrius Ovsianas, David Fernandes, Mark Girolami, Neil D. Lawrence, Nikolas Nüsken
2023	J	`jnl`	Correction: Vargas et al. Solving Schrödinger Bridges via Maximum Likelihood. Entropy 2021, 23, 1134. Entropy Francisco Vargas, Pierre Thodoroff, Austen Lamacraft, Neil D. Lawrence
2023	A*	`conf`	Denoising Diffusion Samplers. ICLR Francisco Vargas, Will Sussman Grathwohl, Arnaud Doucet
2023	J	`jnl`	Denoising Diffusion Samplers. CoRR Francisco Vargas, Will Grathwohl, Arnaud Doucet
2023	J	`jnl`	Dimensionality Reduction as Probabilistic Inference. CoRR Aditya Ravuri, Francisco Vargas, Vidhi Lalchand, Neil D. Lawrence
2023	J	`jnl`	Expressiveness Remarks for Denoising Diffusion Models and Samplers. CoRR Francisco Vargas, Teodora Reu, Anna Kerekes
2023	J	`jnl`	Transport, Variational Inference and Diffusions: with Applications to Annealed Flows and Schrödinger Bridges. CoRR Francisco Vargas, Nikolas Nüsken
2022	A*	`conf`	Adversarial Concept Erasure in Kernel Space. EMNLP Shauli Ravfogel, Francisco Vargas, Yoav Goldberg, Ryan Cotterell
2022	J	`jnl`	Adversarial Concept Erasure in Kernel Space. CoRR Shauli Ravfogel, Francisco Vargas, Yoav Goldberg, Ryan Cotterell
2021	J	`jnl`	Bayesian Learning via Neural Schrödinger-Föllmer Flows. CoRR Francisco Vargas, Andrius Ovsianas, David Fernandes, Mark Girolami, Neil D. Lawrence, Nikolas Nüsken
2021	J	`jnl`	Efficient Representations for Privacy-Preserving Inference. CoRR Han Xuanyuan, Francisco Vargas, Stephen Cummins
2021	J	`jnl`	Solving Schrödinger Bridges via Maximum Likelihood. CoRR Francisco Vargas, Pierre Thodoroff, Neil D. Lawrence, Austen Lamacraft
2021	J	`jnl`	Solving Schrödinger Bridges via Maximum Likelihood. Entropy Francisco Vargas, Pierre Thodoroff, Austen Lamacraft, Neil D. Lawrence
2020	—	`conf`	Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. EMNLP (1) Francisco Vargas, Ryan Cotterell
2020	J	`jnl`	Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. CoRR Francisco Vargas, Ryan Cotterell
2019	A*	`conf`	Model Comparison for Semantic Grouping. ICML Francisco Vargas, Kamen Brestnichki, Nils Hammerla
2019	J	`jnl`	Model Comparison for Semantic Grouping. CoRR Francisco Vargas, Kamen Brestnichki, Nils Hammerla
2019	—	`conf`	Multilingual Factor Analysis. ACL (1) Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos-Korfiatis, Nils Hammerla
2019	J	`jnl`	Multilingual Factor Analysis. CoRR Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos-Korfiatis, Nils Hammerla