Soumya Kundu

Statistical and Nonlinear Physics · with Hodas · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 10 citations into it; #4,529 of 10,127 by trust here, #6,727 by citations
• Computational Mechanics — 8 citations into it; #4,834 of 10,001 by trust here, #6,877 by citations
• Artificial Intelligence — 7 citations into it

Whom Soumya Kundu trusts overall

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

1. Igor Mezi'c
2. Clarence W. Rowley
3. Steven L. Brunton
4. Joshua L. Proctor
5. Bryan C. Daniels
6. Samuel E. Otto
7. Matthew O. Williams
8. Naoya Takeishi
9. J. Nathan Kutz
10. Qianxao Li

Who trusts Soumya Kundu overall

1. Jared D. Willard
2. Naoya Takeishi
3. Xiaowei Jia

Papers from Soumya Kundu's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Dropout: a simple way to prevent neural networks from overfitting
3. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
8. Dynamic Mode Decomposition with Control (SIAM Journal on Applied Dynamical Systems)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems (2017) — 479 citations