B. Miller
- Constraints on the Cosmic Expansion History from GWTC–3
2021/11/05 by The LIGO Scientific Collaboration, Hiroyuki ABE, the Virgo Collaboration +1685 · 1 voice · 23 citations
Physics and Astronomy · #Black Holes and Theoretical Physics #Cosmology and Gravitation Theories #Pulsars and Gravitational Waves Research #astro-ph.CO #gr-qc
- sbi reloaded: a toolkit for simulation-based inference workflows
2024/11/26 by Jan Boelts, Boelts, Jan, Michael Deistler +63 · 12 citations
Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Simulation Techniques and Applications
- Contrastive Neural Ratio Estimation for Simulation-based Inference
2022/10/11 by B. Miller, Miller, Benjamin Kurt, Christoph Weniger +3 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications
- A multiple modulator fractional divider
1991/06/01 by Brian Miller, B. Miller, R.J. Conley · 1 citation
Engineering · #Advancements in PLL and VCO Technologies #Photonic and Optical Devices #Semiconductor Lasers and Optical Devices
- Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time
2020/11/27 by B. Miller, Miller, Benjamin Kurt, Alex Cole +5 · 1 citation
Computer Science · Medicine · Physics and Astronomy · #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Model Reduction and Neural Networks