Léo Miolane

Statistics and Probability · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 23 citations into it
• Computational Mechanics — 12 citations into it
• Mathematical Physics — 12 citations into it
• Computer Networks and Communications — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Signal Processing — 9 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom Léo Miolane trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David L. Donoho
2. Dongning Guo
3. Toshiyuki TANAKA
4. Sundeep Rangan
5. Sourav Chatterjee
6. E. Bolthausen
7. M. M'ezard

Papers from Léo Miolane's perspective

Ordered by how strongly the researchers Léo Miolane trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Learning
2. Message-passing algorithms for compressed sensing
3. Solution of 'Solvable model of a spin glass'
4. Et al
5. Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
6. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
7. Randomly spread CDMA: asymptotics via statistical physics (IEEE Transactions on Information Theory)
8. Modern Coding Theory
9. A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors (IEEE Transactions on Information Theory)
10. Generalized approximate message passing for estimation with random linear mixing (IEEE International Symposium on Information Theory. Proceedings)

Their papers

• Statistical thresholds for tensor PCA (2018) — 50 citations
• Optimal errors and phase transitions in high-dimensional generalized linear models (2017) — 314 citations