Nikolai Matni
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it
- Control and Systems Engineering — 29 citations into it; #2,144 of 8,257 by trust here, #1,670 by citations
- Reinforcement Learning — 19 citations into it; #1,347 of 2,242 by trust here, #1,371 by citations
- Statistical Learning Theory — 10 citations into it; #772 of 1,038 by trust here, #583 by citations
- Statistical and Nonlinear Physics — 10 citations into it
- Aerospace Engineering — 5 citations into it
- Computational Mechanics — 5 citations into it; #4,689 of 10,001 by trust here, #3,029 by citations
- Computational Theory and Mathematics — 5 citations into it
Whom Nikolai Matni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sarah Dean
- Mi Ching Tsai
- Horia Mania
- B. Recht
- Johan Löfberg
- Maryam Fazel
- Sergey Levine
- Stephen P. Boyd
- Po-Ling Loh
- Stephen Tu
Who trusts Nikolai Matni overall
Papers from Nikolai Matni's perspective
Ordered by how strongly the researchers Nikolai Matni trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Human-level control through deep reinforcement learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Trust Region Policy Optimization (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- On the Sample Complexity of Stability Constrained Imitation Learning (2021) — 52 citations
- Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator (2018) — 304 citations
- Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System (2018) — 48 citations
- Safely Learning to Control the Constrained Linear Quadratic Regulator (2018) — 138 citations
- On the Sample Complexity of the Linear Quadratic Regulator (2017) — 642 citations