Nicolas Macris

1. Matrix Inference in Growing Rank Regimes
   2023/06/02 by Farzad Pourkamali, Jean Barbier, Pourkamali, Farzad +3 · 4 citations
   Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Information Theory (cs.IT) #Quantum Information and Cryptography #Quantum Mechanics and Applications #Random Matrices and Applications
2. Ground States and Flux Configurations of the Two-dimensional Falicov-Kimball Model
   1995/11/20 by C. Gruber, Gruber, Ch., Nicolas Macris +5 · 1 citation
   Earth and Planetary Sciences · Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #Condensed Matter (cond-mat) #FOS: Physical sciences #High-pressure geophysics and materials #Quantum chaos and dynamical systems
3. A Proof of Threshold Saturation for Spatially-Coupled LDPC Codes on BMS\n Channels
   2013/01/25 by Santhosh Kumar, Kumar, Santhosh, A. J. Young +5 · 1 citation
   Computer Science · Engineering · #Advanced Wireless Communication Techniques #Cooperative Communication and Network Coding #Error Correcting Code Techniques #FOS: Computer and information sciences #Information Theory (cs.IT)
4. Rectangular Rotational Invariant Estimator for General Additive Noise Matrices
   2023/04/24 by Farzad Pourkamali, Pourkamali, Farzad, Nicolas Macris +1 · 2 citations
   Computer Science · Mathematics · #Blind Source Separation Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Random Matrices and Applications #Statistical Methods and Bayesian Inference
5. Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors
   2023/06/07 by Farzad Pourkamali, Nicolas Macris, Pourkamali, Farzad +1 · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Information Theory (cs.IT) #Matrix Theory and Algorithms #Random Matrices and Applications #Tensor decomposition and applications
6. All-or-nothing statistical and computational phase transitions in sparse\n spiked matrix estimation
   2020/06/14 by Jean Barbier, Barbier, Jean, Nicolas Macris +3 · 1 citation
   Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Blind Source Separation Techniques #Random Matrices and Applications
7. Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning Curves
   2025/02/01 by Anand Jerry George, George, Anand Jerry, Rodrigo Veiga +3 · 4 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
8. Analysis of Diffusion Models for Manifold Data
   2025/02/01 by Anand Jerry George, George, Anand Jerry, Rodrigo Veiga +3 · 3 citations
   Computer Science · Environmental Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Neural Networks and Applications #Probability (math.PR) #Soil Geostatistics and Mapping #Statistics Theory (math.ST)