Vargas, Francisco

1. Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
   2024/06/11 by Denis Blessing, Xiaogang Jia, Blessing, Denis +7 · 17 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
2. DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised h-transform
   2024/06/03 by Denker, Alexander, Vargas, Francisco, Padhy, Shreyas +7 · 12 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Kernelized Concept Erasure
   2022/01/28 by Shauli Ravfogel, Francisco Vargas, Ravfogel, Shauli +5 · 6 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
4. Bayesian Learning via Neural Schrödinger-Föllmer Flows
   2021/11/20 by Francisco Vargas, Andrius Ovsianas, Vargas, Francisco +9 · 5 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
5. Transport meets Variational Inference: Controlled Monte Carlo Diffusions
   2023/07/03 by Francisco Vargas, Vargas, Francisco, Padhy, Shreyas +2 · 5 citations
   Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
6. No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers
   2025/02/10 by Jiajun He, Yuanqi Du, He, Jiajun +13 · 11 citations
   Computer Science · Medicine · #Neural Networks and Applications #Explainable Artificial Intelligence (XAI) #Artificial Intelligence in Healthcare and Education
7. Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
   2016/03/20 by Gomez, Alexander, Salazar, Augusto, Vargas, Francisco · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
8. A framework for conditional diffusion modelling with applications in motif scaffolding for protein design
   2023/12/14 by Kieran Didi, Didi, Kieran, Francisco Vargas +11 · 4 citations
   Biochemistry, Genetics and Molecular Biology · #Protein Structure and Dynamics #Genomics and Chromatin Dynamics #RNA Research and Splicing
9. Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo
   2025/02/10 by Paul Jeha, Lee, Cheuk Kit, Jes Frellsen +8 · 7 citations
   Mathematics · #Gas Dynamics and Kinetic Theory
10. Improving Antibody Design with Force-Guided Sampling in Diffusion Models
    2024/06/09 by Paulina Kulytė, Kulytė, Paulina, Francisco Vargas +9 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #Protein purification and stability #Quantitative Methods (q-bio.QM) #Viral Infectious Diseases and Gene Expression in Insects
11. FEAT: Free energy Estimators with Adaptive Transport
    2025/04/15 by Jiajun He, He, Jiajun, Yuanqi Du +12 · 1 voice · 5 citations
    Materials Science · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Machine Learning in Materials Science #Quantum many-body systems #cs.LG #physics.chem-ph #physics.comp-ph #stat.ML
12. Accelerated Parallel Tempering via Neural Transports
    2025/02/14 by Leo Yu Zhang, Zhang, Leo, Peter Potaptchik +10 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Algorithms and Data Compression #DNA and Biological Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Modular Robots and Swarm Intelligence
13. Iterative Importance Fine-tuning of Diffusion Models
    2025/02/06 by Alexander Denker, Denker, Alexander, Shreyas Padhy +5 · 1 citation
    Computer Science · #68T07 #Advanced Mathematical Modeling in Engineering #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #I.2.6 #I.4.9 #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Probability (math.PR) #electronic engineering #information engineering