Grigory Malinovsky
Computational Mechanics · 2020
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 26 citations into it
- Optimization & Training — 21 citations into it
- Artificial Intelligence — 20 citations into it
- Computational Theory and Mathematics — 16 citations into it
- Numerical Analysis — 15 citations into it
- Mathematical Physics — 6 citations into it
- Federated & Distributed Learning — 5 citations into it
- Mathematical Optimization — 5 citations into it
Whom Grigory Malinovsky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Richtárik
- Ahmed Khaled
- Patrick L. Combettes
- Sebastian U. Stich
- Yurii E. Nesterov
- Heinz H. Bauschke
- Martin Takác
- Laurent Condat
- Chih-Jen Lin
- Konstantin Mishchenko
Who trusts Grigory Malinovsky overall
Papers from Grigory Malinovsky's perspective
Ordered by how strongly the researchers Grigory Malinovsky trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Regression Shrinkage and Selection via the Lasso
- LIBSVM: A library for support vector machines
Their papers
- Distributed Proximal Splitting Algorithms with Rates and Acceleration (2020) — 24 citations
- From Local SGD to Local Fixed Point Methods for Federated Learning (2020) — 139 citations