Nicolas Macris
11 papers · 2016–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird
🧬
Topic Evolution
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(9)
Mathematics & Optimization
(7)
Mathematics
(6)
Deep Learning
(3)
Models
(3)
Optimization
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Computer Science
(1)
Architectures
(1)
Foundations
(1)
Optimization & Theory · Deep Learning
(1)
Probability
(1)
Keywords
phase transition
(5)
mutual information
(4)
approximate message passing
(4)
generalization error
(3)
random matrix theory
(3)
matrix estimation
(2)
mean square error
(2)
double descent
(2)
rank-one matrix
(2)
high-dimensional statistics
(2)
matrix factorization
(1)
message passing
(1)
asymptotic analysis
(1)
gradient descent
(1)
bayesian inference
(1)
sparse recovery
(1)
neural network theory
(1)
variational inference
(1)
replica method
(1)
signal-to-noise ratio
(1)
Papers
Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations
AISTATS 2025
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
ICML 2024
Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors
NeurIPS 2023
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
NeurIPS 2021
Rank-one matrix estimation: analytic time evolution of gradient descent dynamics
COLT 2021
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
NeurIPS 2020
Information theoretic limits of learning a sparse rule
NeurIPS 2020
Entropy and mutual information in models of deep neural networks
NeurIPS 2018
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models
COLT 2018
The committee machine: Computational to statistical gaps in learning a two-layers neural network
NeurIPS 2018
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
NeurIPS 2016