Leslie Vogt-Maranto

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Atomic and Molecular Physics, and Optics — 69 citations into it
• Statistical and Nonlinear Physics — 30 citations into it
• Probabilistic & Bayesian Methods — 22 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Model Architectures — 15 citations into it
• Statistics and Probability — 13 citations into it
• Condensed Matter Physics — 12 citations into it

Whom Leslie Vogt-Maranto trusts overall

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

1. Matthias Krack

Who trusts Leslie Vogt-Maranto overall

1. Kenneth Atz

Papers from Leslie Vogt-Maranto's perspective

Ordered by how strongly the researchers Leslie Vogt-Maranto trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
3. Reinforcement Learning: An Introduction
4. Pattern Recognition and Machine Learning
5. Training Products of Experts by Minimizing Contrastive Divergence
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. ImageNet classification with deep convolutional neural networks
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Neural networks and physical systems with emergent collective computational abilities.

Their papers

• Machine learning and the physical sciences (2019) — 1,895 citations
• Quantum chemical accuracy from density functional approximations via machine learning (2020) — 329 citations