Anastasios Kyrillidis
Artificial Intelligence · 2015–2023
A researcher in the Science corpus: 7 papers; trusts 82 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 71 citations into it; #21,705 of 35,345 by trust here, #20,377 by citations
- Computational Mechanics — 46 citations into it; #5,877 of 10,001 by trust here, #6,041 by citations
- Computer Vision and Pattern Recognition — 34 citations into it
- Optimization & Training — 26 citations into it
- Statistics and Probability — 23 citations into it
- Efficiency & Compression — 18 citations into it
- Model Architectures — 16 citations into it
- Numerical Analysis — 14 citations into it; #2,064 of 3,586 by trust here, #1,659 by citations
Whom Anastasios Kyrillidis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Yurii E. Nesterov
- Geoffrey E. Hinton
- Prateek Jain
- Ilya Sutskever
- Yoshua Bengio
- B. Recht
- S. Burer
- Diederik P. Kingma
- Alex Krizhevsky
Who trusts Anastasios Kyrillidis overall
Papers from Anastasios Kyrillidis's perspective
Ordered by how strongly the researchers Anastasios Kyrillidis 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time (2023) — 475 citations
- Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective (2021) — 23 citations
- Compressing Gradient Optimizers via Count-Sketches (2019) — 41 citations
- SysML: The New Frontier of Machine Learning Systems (2019) — 23 citations
- MLSys: The New Frontier of Machine Learning Systems (2019) — 25 citations
- Learning Sparse Additive Models with Interactions in High Dimensions (2016) — 16 citations
- Dropping Convexity for Faster Semi-definite Optimization (2015) — 183 citations