G. Puskorius

Model Architectures · 1994–1998

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 8 citations into it

Whom G. Puskorius trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ronald J. Williams
2. Paul J. Werbos
3. Charles M. Bishop
4. Yoshua Bengio
5. Jing Peng
6. Michael I. Jordan
7. Patrice Y. Simard
8. Lee A. Feldkamp
9. Richard S. Sutton

Who trusts G. Puskorius overall

1. J. Urgen Schmidhuber
2. Laurence Aitchison
3. Lee A. Feldkamp
4. Sepp Hochreiter
5. J. J. Rubio
6. Mantas Lukosevicius
7. Rudolph van der Merwe
8. Vishal Monga
9. M. C. Ozturk
10. J. V. Leeuwen

Papers from G. Puskorius's perspective

Ordered by how strongly the researchers G. Puskorius trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Learning long-term dependencies with gradient descent is difficult
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A signal processing framework based on dynamic neural networks with application to problems in adaptation, filtering, and classification (1998)
• Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks (1994)