Daniel Nikolaev Nikovski

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #14,525 of 35,345 by trust here, #33,294 by citations
• Reinforcement Learning — 31 citations into it; #1,262 of 2,242 by trust here, #1,864 by citations
• Control and Systems Engineering — 19 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Daniel Nikolaev Nikovski trusts overall

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

1. Richard S. Sutton
2. David E. Heckerman
3. Csaba Szepesvari
4. Peter L. Bartlett
5. Marc Peter Deisenroth
6. David John Cameron MacKay
7. Diederik P. Kingma
8. Geoffrey E. Hinton
9. S. Jammalamadaka
10. Andrew Barto

Who trusts Daniel Nikolaev Nikovski overall

1. Jonathan G. Richens
2. Paul Sajda
3. Ciarán M. Lee
4. Kevin B. Korb
5. Amir-massoud Farahmand
6. Saurabh Johri
7. Michael Janner
8. Alekh Agarwal
9. Wen Sun

Papers from Daniel Nikolaev Nikovski's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Reinforcement Learning: An Introduction
6. Human-level control through deep reinforcement learning
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control (2019) — 11 citations
• Constructing Bayesian Networks for Medical Diagnosis from Incomplete and Partially Correct Statistics (2000) — 213 citations
• Value-Aware Loss Function for Model-based Reinforcement Learning (2017) — 133 citations