Kiran Koshy Thekumparampil

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #30,607 of 35,345 by trust here, #20,836 by citations
• Graph Learning — 25 citations into it; #610 of 693 by trust here, #505 by citations
• Representation & Self-Supervised Learning — 15 citations into it; #2,778 of 3,145 by trust here, #2,355 by citations
• Statistical and Nonlinear Physics — 7 citations into it
• Molecular Biology — 5 citations into it
• Natural Language Processing — 5 citations into it

Whom Kiran Koshy Thekumparampil trusts overall

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

1. Geoffrey E. Hinton
2. Alex Graves
3. Yoshua Bengio
4. Joan Bruna
5. Diederik P. Kingma
6. Thomas Kipf
7. Yann LeCun
8. Quoc V. Le
9. Max Welling
10. Jason Aaron Edward Weston

Who trusts Kiran Koshy Thekumparampil overall

1. Hongwei Wang
2. Shaked Brody
3. Yongxin Wang
4. Jure Leskovec
5. Uri Alon
6. Kris M. Kitani

Papers from Kiran Koshy Thekumparampil's perspective

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

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

Their papers

• Attention-based Graph Neural Network for Semi-supervised Learning (2018) — 386 citations