Adam, Alexandre

1. Amortizing intractable inference in diffusion models for vision, language, and control
   2024/05/31 by Siddarth Venkatraman, Venkatraman, Siddarth, Moksh Jain +27 · 16 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
2. Improved off-policy training of diffusion samplers
   2024/02/07 by Marcin Sendera, Sendera, Marcin, Minsu Kim +15 · 9 citations
   Computer Science · Physics and Astronomy · #Advanced Mathematical Modeling in Engineering #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
3. IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors
   2025/01/05 by Dia, Noé, Yantovski-Barth, M. J., Adam, Alexandre +4 · 2 citations
   #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #electronic engineering #information engineering
4. Inpainting Galaxy Counts onto N-Body Simulations over Multiple Cosmologies and Astrophysics
   2024/08/01 by Antoine Bourdin, Ronan Legin, Bourdin, Antoine +9 · 1 citation
   Physics and Astronomy · Computer Science · #Galaxies: Formation, Evolution, Phenomena #Computational Physics and Python Applications #Advanced Data Storage Technologies
5. Posterior samples of source galaxies in strong gravitational lenses with score-based priors
   2022/11/07 by Alexandre Adam, Adam, Alexandre, Adam Coogan +11 · 1 citation
   Computer Science · Physics and Astronomy · #Adaptive optics and wavefront sensing #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Gaussian Processes and Bayesian Inference #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG)