Luigi Malagò

Applied Mathematics · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Applied Mathematics — 7 citations into it
• Artificial Intelligence — 6 citations into it; #18,545 of 35,345 by trust here, #33,294 by citations
• Computational Theory and Mathematics — 6 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Luigi Malagò trusts overall

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

1. Shun-ichi Amari
2. Lawrence D. Brown
3. Asuka Takatsu
4. Nikolaus Hansen
5. Pierre-Antoine Absil
6. Daan Wierstra
7. Andreas Ostermeier
8. Robert E. Mahony
9. Aapo Hyvärinen
10. Felix Otto

Who trusts Luigi Malagò overall

1. Sosuke Ito
2. Alessandro Achille
3. A. Dechant
4. Giovanni Paolini
5. Stefano Soatto

Papers from Luigi Malagò's perspective

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

1. Natural Gradient Works Efficiently in Learning
2. Natural Evolution Strategies
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. GENERATIVE ADVERSARIAL NETS
5. Completely Derandomized Self-Adaptation in Evolution Strategies
6. Estimation of Non-Normalized Statistical Models by Score Matching
7. Information Geometry and Its Applications
8. Fundamentals of statistical exponential families: with applications in statistical decision theory
9. Gradient-based learning applied to document recognition
10. Optimization Algorithms on Matrix Manifolds

Their papers

• Information Geometry of the Gaussian Distribution in View of Stochastic Optimization (2015) — 66 citations
• Wasserstein Riemannian geometry of Gaussian densities (2018) — 111 citations