Sergios Theodoridis
Artificial Intelligence · 1974–2020
A researcher in the Science corpus: 9 papers; trusts 34 researchers and is trusted by 134 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it
- Optimization & Training — 20 citations into it
- Probabilistic & Bayesian Methods — 17 citations into it
- Model Architectures — 12 citations into it
- Efficiency & Compression — 11 citations into it
- Computer Networks and Communications — 8 citations into it
- Management Science and Operations Research — 7 citations into it
Whom Sergios Theodoridis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Jimmy Ba
- Yoshua Bengio
- Yann LeCun
- Radford M. Neal
- Alex Graves
- Max Welling
- Ruslan Salakhutdinov
Who trusts Sergios Theodoridis overall
- Ricardo Gutierrez-Osuna
- Nicolas Papernot
- Theodoros Giannakopoulos
- M. Landau
- Ali H. Sayed
- Leyla Bilge
- Srinath T. V. Setty
- Yannis Kopsinis
- Aleksandar Bojchevski
- Kaixiang Lin
Papers from Sergios Theodoridis's perspective
Ordered by how strongly the researchers Sergios Theodoridis trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing (2020) — 185 citations
- Nonparametric Bayesian Deep Networks with Local Competition (2018) — 32 citations
- Adaptive Learning in a World of Projections (2011) — 233 citations
- Introduction to Pattern Recognition: A Matlab Approach (2010) — 383 citations
- Pattern Recognition, Fourth Edition (2008) — 657 citations
- 14 FROM LINEAR ADAPTIVE FILTERING TO NONLINEAR INFORMATION PROCESSING (2006) — 34 citations
- A Novel Efficient Cluster-Based MLSE Equalizer for Satellite Communication Channels with-QAM Signaling (2006) — 625 citations
- Pattern Recognition, Third Edition (2006) — 685 citations
- Pattern recognition (1974)