Kasun Amarasinghe

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Electrical and Electronic Engineering — 14 citations into it; #4,610 of 16,539 by trust here, #8,802 by citations
• Model Architectures — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it; #10,178 of 21,575 by trust here, #12,419 by citations
• Optimization & Training — 7 citations into it
• Signal Processing — 5 citations into it

Whom Kasun Amarasinghe trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Paul J. Werbos
6. Elena Mocanu
7. Jimmy Ba
8. Ilya Sutskever
9. Xavier Glorot
10. Daniel L. Marino

Who trusts Kasun Amarasinghe overall

1. Alberto Gasparin
2. Shafiul Hasan Rafi
3. Slobodan Lukovic
4. Milos Manic
5. T. Kim
6. Björn Gambäck
7. Sara Rosenthal
8. Jeremy Barnes
9. Cesare Alippi
10. Adam Sutton

Papers from Kasun Amarasinghe's perspective

Ordered by how strongly the researchers Kasun Amarasinghe 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Building energy load forecasting using Deep Neural Networks (2016) — 570 citations
• Deep neural networks for energy load forecasting (2017) — 305 citations
• Semeval-2016 Task 4 : Sentiment Analysis in Twitter (2016)
• Intelligent Buildings of the Future: Cyberaware, Deep Learning Powered, and Human Interacting (2016) — 99 citations