Rishi Bedi

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 16 citations into it
• Materials Chemistry — 14 citations into it
• Computational Theory and Mathematics — 12 citations into it
• Computational Chemistry & Drug Discovery — 7 citations into it
• AI for Physical Sciences — 5 citations into it
• Graph Learning — 5 citations into it

Whom Rishi Bedi trusts overall

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

1. S. Parasuraman
2. J. Behler
3. Wen Torng
4. Kristof T. Schütt
5. Jianyi Yang
6. Izhar Wallach
7. Justin S. Smith
8. Steven M. Kearnes
9. Joseph Gomes
10. Georgy Derevyanko

Who trusts Rishi Bedi overall

1. Vignesh Ram Somnath
2. Hannes Stärk

Papers from Rishi Bedi's perspective

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

1. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Quantum-chemical insights from deep tensor neural networks
4. ImageNet classification with deep convolutional neural networks
5. Molecular graph convolutions: moving beyond fingerprints
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
8. ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Signature Verification Using A "Siamese" Time Delay Neural Network

Their papers

• End-to-End Learning on 3D Protein Structure for Interface Prediction (2018) — 118 citations