Rudolf Lioutikov

Artificial Intelligence · 2014–2023

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #22,360 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 27 citations into it
• Reinforcement Learning — 26 citations into it; #1,832 of 2,242 by trust here, #2,063 by citations
• Generative Models — 14 citations into it
• Control and Systems Engineering — 13 citations into it
• Statistical and Nonlinear Physics — 10 citations into it

Whom Rudolf Lioutikov trusts overall

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

1. Jan Peters
2. Geoffrey J. Gordon
3. Marc Toussaint
4. E. Todorov
5. Marc Peter Deisenroth
6. Gerhard Neumann
7. Michail G. Lagoudakis
8. Jun Morimoto
9. Christopher G. Atkeson
10. Richard S. Sutton

Who trusts Rudolf Lioutikov overall

1. Sergey Levine
2. Herke Van Hoof
3. Pieter Abbeel
4. Chelsea Finn
5. Jan Peters
6. Nolan Wagener
7. Gerhard Neumann
8. Trevor Darrell

Papers from Rudolf Lioutikov's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Sample-based informationl-theoretic stochastic optimal control (2014) — 32 citations
• Guiding Trajectory Optimization by Demonstrated Distributions (2017) — 63 citations
• Goal-Conditioned Imitation Learning using Score-based Diffusion Policies (2023) — 298 citations