Macris, Nicolas

1. Matrix Inference in Growing Rank Regimes
   2023/06/02 by Farzad Pourkamali, Jean Barbier, Pourkamali, Farzad +3 · 2 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. 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)
3. The Layered Structure of Tensor Estimation and its Mutual Information
   2017/09/29 by Barbier, Jean, Macris, Nicolas, Miolane, Léo · 1 citation
   #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Mathematical Physics (math-ph)
4. Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method
   2018/12/06 by Barbier, Jean, Dia, Mohamad, Macris, Nicolas +2 · 1 citation
   #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
5. 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
6. Rectangular Rotational Invariant Estimator for General Additive Noise Matrices
   2023/04/24 by Farzad Pourkamali, Pourkamali, Farzad, Nicolas Macris +1 · 1 citation
   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
7. Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors
   2023/06/07 by Farzad Pourkamali, Pourkamali, Farzad, Nicolas Macris +1 · 1 citation
   Computer Science · Mathematics · #FOS: Computer and information sciences #Information Theory (cs.IT) #Matrix Theory and Algorithms #Random Matrices and Applications #Tensor decomposition and applications
8. Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning Curves
   2025/02/01 by George, Anand Jerry, Veiga, Rodrigo, Macris, Nicolas · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Analysis of Diffusion Models for Manifold Data
   2025/02/01 by Anand Jerry George, George, Anand Jerry, Rodrigo Veiga +3 · 1 citation
   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)