Augustin Žídek

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 12 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 90 citations into it; #34,953 of 35,345 by trust here, #17,110 by citations
• Reinforcement Learning — 68 citations into it
• Management Science and Operations Research — 11 citations into it
• Control and Systems Engineering — 7 citations into it

Whom Augustin Žídek trusts overall

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

1. Richard S. Sutton
2. Volodymyr Mnih
3. Geoffrey E. Hinton
4. Ben J. A. Kröse
5. Leslie Pack Kaelbling
6. Yoshua Bengio
7. Thomas G. Dietterich
8. Alex Graves
9. Andrew Barto
10. Ronald J. Williams

Who trusts Augustin Žídek overall

1. German Ignacio Parisi
2. Vincenzo Lomonaco

Papers from Augustin Žídek's perspective

Ordered by how strongly the researchers Augustin Žídek 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Et al
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Unicorn: Continual Learning with a Universal, Off-policy Agent (2018) — 48 citations
• Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement (2018) — 192 citations
• Highly accurate protein structure prediction with AlphaFold (2021) — 37,531 citations
• Improved protein structure prediction using potentials from deep learning (2020) — 2,936 citations
• Highly accurate protein structure prediction for the human proteome (2021) — 2,524 citations
• Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) (2019) — 268 citations
• Protein complex prediction with AlphaFold-Multimer (2021) — 3,230 citations
• AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models (2021) — 3,102 citations
• AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences (2023) — 1,666 citations
• Accurate structure prediction of biomolecular interactions with AlphaFold 3 (2024) — 12,322 citations
• Applying and improving AlphaFold at CASP14 (2021) — 354 citations
• Kickstarting Deep Reinforcement Learning (2018) — 151 citations