Statistical Mechanics of Optimal Convex Inference in High Dimensions

Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization

(2016) Yoshiyuki Kabashima et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

High dimensional robust M-estimation: asymptotic variance via approximate message passing

(2015) David Donoho et al.   PROBABILITY THEORY AND RELATED FIELDS

Putting big data to good use in neuroscience

(2014) Terrence J Sejnowski et al.   NATURE NEUROSCIENCE

Statistical mechanics of complex neural systems and high dimensional data

(2013) Madhu Advani et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Optimal M-estimation in high-dimensional regression

(2013) Derek Bean et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Compressed Sensing, Sparsity, and Dimensionality in Neuronal Information Processing and Data Analysis

(2012) Surya Ganguli et al.   Annual Review of Neuroscience

Probabilistic reconstruction in compressed sensing: algorithms, phase diagrams, and threshold achieving matrices

(2012) Florent Krzakala et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing

(2011) Mohsen Bayati et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Statistical Mechanics of Compressed Sensing

(2010) Surya Ganguli et al.   PHYSICAL REVIEW LETTERS

Message-passing algorithms for compressed sensing

(2009) David L. Donoho et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA