Perry Palmedo
Molecular Biology · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 85 citations into it
- Computational Biology & Bioinformatics — 53 citations into it
- Materials Chemistry — 27 citations into it
- Artificial Intelligence — 8 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Perry Palmedo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Ovchinnikov
- Yang Zhang
- John Moult
- Sean R. Eddy
- Debora Marks
- Geoffrey E. Hinton
- Thomas A. Hopf
- Matthew D. Zeiler
- Diederik P. Kingma
- Peter Tompa
Who trusts Perry Palmedo overall
Papers from Perry Palmedo's perspective
Ordered by how strongly the researchers Perry Palmedo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks (2017) — 113 citations
- Structured states of disordered proteins from genomic sequences (2016) — 132 citations
- The EVcouplings Python framework for coevolutionary sequence analysis (2018) — 276 citations