Lagnajit Pattanaik
Molecular Biology · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 68 citations into it; #9,290 of 17,773 by trust here, #10,047 by citations
- Computational Theory and Mathematics — 57 citations into it; #7,790 of 12,182 by trust here, #3,339 by citations
- Materials Chemistry — 47 citations into it
- Artificial Intelligence — 11 citations into it
- Computational Biology & Bioinformatics — 11 citations into it
- Model Architectures — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Lagnajit Pattanaik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sereina Riniker
- Diederik P. Kingma
- Wen Torng
- Mohammed Alquraishi
- Max Welling
- Yoshua Bengio
- Geoffrey E. Hinton
- Jimmy Ba
- Minkai Xu
- Raphael J. L. Townshend
Who trusts Lagnajit Pattanaik overall
Papers from Lagnajit Pattanaik's perspective
Ordered by how strongly the researchers Lagnajit Pattanaik trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles (2021) — 176 citations
- EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction (2022) — 380 citations