Grumitt, Richard D. P.

1. Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
   2022/05/27 by Grumitt, Richard D. P., Dai, Biwei, Seljak, Uros · 1 citation
   #62-08 #Computation (stat.CO) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
2. Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems
   2023/09/20 by R D P Grumitt, Grumitt, Richard D. P., Minas Karamanis +3 · 1 citation
   Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference
3. synax: A Differentiable and GPU-accelerated Synchrotron Simulation Package
   2024/10/02 by Kangning Diao, Zack Li, Diao, Kangning +5 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Astrophysics of Galaxies (astro-ph.GA) #Electron and X-Ray Spectroscopy Techniques #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning in Materials Science