Marc Berndl

Computational Theory and Mathematics · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 24 citations into it; #2,791 of 12,182 by trust here, #434 by citations
• Molecular Biology — 24 citations into it
• Materials Chemistry — 15 citations into it; #1,675 of 11,513 by trust here, #3,109 by citations
• Computational Chemistry & Drug Discovery — 10 citations into it; #96 of 425 by trust here, #84 by citations

Whom Marc Berndl trusts overall

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

1. Jonathan Masci
2. Geoffrey E. Hinton
3. George E. Dahl
4. David E. Rumelhart
5. John C. Duchi
6. Andreas Mayr

Who trusts Marc Berndl overall

1. Garrett B. Goh
2. Wengong Jin
3. Mukund Sundararajan
4. Kyle Swanson
5. Esben Jannik Bjerrum
6. Charles Siegel
7. Regina Barzilay
8. Diego Marcheggiani
9. Katsuhiko Ishiguro

Papers from Marc Berndl's perspective

Ordered by how strongly the researchers Marc Berndl 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. Going deeper with convolutions
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
7. Long Short-Term Memory
8. Learning representations by back-propagating errors
9. Rethinking the Inception Architecture for Computer Vision
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Molecular graph convolutions: moving beyond fingerprints (2016) — 1,608 citations
• In silico labeling: Predicting fluorescent labels in unlabeled images (2018) — 587 citations