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ORCIDFrancisco Vargas 0001
Person information
- affiliation: University of Cambridge, UK
- affiliation: Babylon Health, London, UK
Other persons with the same name
- Francisco Vargas 0002 — Universidad Católica de Colombia, Colombia
- Francisco Vargas 0003 — Rice University, Department of Chemical Engineering, TX, USA
- Francisco Vargas 0004 — Universidad Técnica Federico Santa María, Valparaíso, Chile
Other persons with a similar name
- Francisco Javier Álvarez-Vargas
- Francisco J. Perez-Vargas
- Francisco Vargas Ruiz
- Francisco A. Vargas
- Francisco J. Vargas
![[0000-0002-2532-6184]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2532-6184")
(aka: Francisco Vargas Parra) - Francisco Javier Triveño Vargas
- Francisco Seirul-lo Vargas
- Jesús Francisco Vargas-Bonilla — University of Antioquia, SISTEMIC, Medellín, Colombia
- Miguel Vargas-Luna (aka: Francisco Miguel Vargas Luna) — Guanajuato University, Science and Engineering Department, León, Mexico
- Francisco Vargas-Merino
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2020 – today
- 2024
[c8]Francisco Vargas, Shreyas Padhy, Denis Blessing, Nikolas Nüsken:
Transport meets Variational Inference: Controlled Monte Carlo Diffusions. ICLR 2024- [c7]Urszula Julia Komorowska, Simon V. Mathis, Kieran Didi, Francisco Vargas, Pietro Lio, Mateja Jamnik:
Dynamics-Informed Protein Design with Structure Conditioning. ICLR 2024 - [c6]Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann:
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling. ICML 2024 - [i15]Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio:
DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform. CoRR abs/2406.01781 (2024) - [i14]Paulina Kulyte, Francisco Vargas, Simon Valentin Mathis, Yu Guang Wang, José Miguel Hernández-Lobato, Pietro Liò:
Improving Antibody Design with Force-Guided Sampling in Diffusion Models. CoRR abs/2406.05832 (2024) - [i13]Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann:
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling. CoRR abs/2406.07423 (2024) - 2023
- [j3]Francisco Vargas, Pierre Thodoroff, Austen Lamacraft, Neil D. Lawrence:
Correction: Vargas et al. Solving Schrödinger Bridges via Maximum Likelihood. Entropy 2021, 23, 1134. Entropy 25(2): 289 (2023) - [j2]Francisco Vargas, Andrius Ovsianas, David Fernandes, Mark Girolami, Neil D. Lawrence, Nikolas Nüsken:
Bayesian learning via neural Schrödinger-Föllmer flows. Stat. Comput. 33(1): 3 (2023) - [c5]Francisco Vargas, Will Sussman Grathwohl, Arnaud Doucet:
Denoising Diffusion Samplers. ICLR 2023 - [i12]Francisco Vargas, Will Grathwohl, Arnaud Doucet:
Denoising Diffusion Samplers. CoRR abs/2302.13834 (2023) - [i11]Aditya Ravuri, Francisco Vargas, Vidhi Lalchand, Neil D. Lawrence:
Dimensionality Reduction as Probabilistic Inference. CoRR abs/2304.07658 (2023) - [i10]Francisco Vargas, Teodora Reu, Anna Kerekes:
Expressiveness Remarks for Denoising Diffusion Models and Samplers. CoRR abs/2305.09605 (2023) - [i9]Francisco Vargas, Nikolas Nüsken:
Transport, Variational Inference and Diffusions: with Applications to Annealed Flows and Schrödinger Bridges. CoRR abs/2307.01050 (2023) - [i8]Kieran Didi, Francisco Vargas, Simon V. Mathis, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio:
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design. CoRR abs/2312.09236 (2023) - 2022
- [c4]Shauli Ravfogel, Francisco Vargas, Yoav Goldberg, Ryan Cotterell:
Adversarial Concept Erasure in Kernel Space. EMNLP 2022: 6034-6055 - [i7]Shauli Ravfogel, Francisco Vargas, Yoav Goldberg, Ryan Cotterell:
Adversarial Concept Erasure in Kernel Space. CoRR abs/2201.12191 (2022) - 2021
- [j1]Francisco Vargas, Pierre Thodoroff, Austen Lamacraft, Neil D. Lawrence:
Solving Schrödinger Bridges via Maximum Likelihood. Entropy 23(9): 1134 (2021) - [i6]Francisco Vargas, Pierre Thodoroff, Neil D. Lawrence, Austen Lamacraft:
Solving Schrödinger Bridges via Maximum Likelihood. CoRR abs/2106.02081 (2021) - [i5]Han Xuanyuan, Francisco Vargas, Stephen Cummins:
Efficient Representations for Privacy-Preserving Inference. CoRR abs/2110.08321 (2021) - [i4]Francisco Vargas, Andrius Ovsianas, David Fernandes, Mark Girolami, Neil D. Lawrence, Nikolas Nüsken:
Bayesian Learning via Neural Schrödinger-Föllmer Flows. CoRR abs/2111.10510 (2021) - 2020
- [c3]Francisco Vargas, Ryan Cotterell:
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. EMNLP (1) 2020: 2902-2913 - [i3]Francisco Vargas, Ryan Cotterell:
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. CoRR abs/2009.09435 (2020)
2010 – 2019
- 2019
- [c2]Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos-Korfiatis, Nils Hammerla:
Multilingual Factor Analysis. ACL (1) 2019: 1738-1750 - [c1]Francisco Vargas, Kamen Brestnichki, Nils Hammerla:
Model Comparison for Semantic Grouping. ICML 2019: 6410-6417 - [i2]Francisco Vargas, Kamen Brestnichki, Nils Hammerla:
Model Comparison for Semantic Grouping. CoRR abs/1904.13323 (2019) - [i1]Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos-Korfiatis, Nils Hammerla:
Multilingual Factor Analysis. CoRR abs/1905.05547 (2019)
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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