Themistoklis P. Sapsis
Artificial Intelligence · 2008–2019
A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it
- Statistical and Nonlinear Physics — 25 citations into it; #6,238 of 10,127 by trust here, #3,284 by citations
- Model Architectures — 23 citations into it
- Environmental Engineering — 12 citations into it
- Signal Processing — 12 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Optimization & Training — 11 citations into it
- Statistics and Probability — 11 citations into it; #8,705 of 12,932 by trust here, #9,233 by citations
Whom Themistoklis P. Sapsis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Abhijit Sarkar
- Alex Graves
- H. H. Huang
- Sepp Hochreiter
- Yoshua Bengio
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Paul J. Werbos
- Geoffrey E. Hinton
- Roger G. Ghanem
Who trusts Themistoklis P. Sapsis overall
Papers from Themistoklis P. Sapsis's perspective
Ordered by how strongly the researchers Themistoklis P. Sapsis trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Dynamically orthogonal field equations for continuous stochastic dynamical systems (2009) — 290 citations
- Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics (2019) — 503 citations
- Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks (2018) — 561 citations
- Effective Stiffening and Damping Enhancement of Structures With Strongly Nonlinear Local Attachments study the stiffening and damping effects that local essentially nonlinear attachments (2012) — 140 citations
- Where do inertial particles go in fluid flows (2008) — 178 citations