Vignesh Ram Somnath
Molecular Biology · 2022–2025
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 20 citations into it
- Materials Chemistry — 11 citations into it
- Computational Biology & Bioinformatics — 10 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Artificial Intelligence — 6 citations into it
Whom Vignesh Ram Somnath trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Raphael J. L. Townshend
- Wengong Jin
- Thomas Kipf
- Dorin Comaniciu
- Yoshua Bengio
- W. Kabsch
- Geoffrey E. Hinton
- Matthias Fey
- Tristan Bepler
- Luc M. Vincent
Who trusts Vignesh Ram Somnath overall
Papers from Vignesh Ram Somnath's perspective
Ordered by how strongly the researchers Vignesh Ram Somnath trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Multi-Scale Representation Learning on Proteins (2022) — 122 citations
- Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction (2025) — 481 citations