Greenberg, David S.

1. Automatic Posterior Transformation for Likelihood-Free Inference
   2019/05/17 by David S. Greenberg, Greenberg, David S., Marcel Nonnenmacher +3 · 35 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks
2. Benchmarking Simulation-Based Inference
   2021/01/12 by Jan-Matthis Lueckmann, Jan Boelts, Lueckmann, Jan-Matthis +7 · 16 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
3. sbi reloaded: a toolkit for simulation-based inference workflows
   2024/11/26 by Jan Boelts, Michael Deistler, Boelts, Jan +63 · 13 citations
   Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Simulation Techniques and Applications
4. GATSBI: Generative Adversarial Training for Simulation-Based Inference
   2022/03/12 by Ramesh, Poornima, Lueckmann, Jan-Matthis, Boelts, Jan +4 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
5. Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates
   2025/06/05 by Huang, Yunfei, Greenberg, David S. · 2 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
6. Combined Optimization of Dynamics and Assimilation with End-to-End Learning on Sparse Observations
   2024/09/11 by Vadim Zinchenko, David S. Greenberg, Zinchenko, Vadim +1 · 1 citation
   Earth and Planetary Sciences · Physics and Astronomy · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Seismic Imaging and Inversion Techniques
7. Physics-based machine learning for mantle convection simulations
   2025/05/21 by Agarwal, Siddhant, Bekar, Ali Can, Hüttig, Christian +2 · 1 citation
   #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)