Christian Ritter

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Control and Systems Engineering — 13 citations into it
• AI for Physical Sciences — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Christian Ritter trusts overall

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

1. Bruno Siciliano
2. Maizar Raissi
3. Justin A. Sirignano
4. Mi Ching Tsai
5. Isaac E. Lagaris
6. Stefan Schaal
7. Masahiko Haruno
8. Zichao Long
9. G. Em Karniadakis
10. Alvaro Sanchez-Gonzalez

Who trusts Christian Ritter overall

1. Miles Cranmer

Papers from Christian Ritter's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Mastering the game of Go without human knowledge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. MOSAIC Model for Sensorimotor Learning and Control (Neural Computation)
9. Artificial neural networks for solving ordinary and partial differential equations
10. Graph networks as learnable physics engines for inference and control

Their papers

• Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning (2019) — 495 citations