Alex Rodriguez

Molecular Biology · 2014–2021

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 47 citations into it
• Materials Chemistry — 38 citations into it
• Computational Chemistry & Drug Discovery — 13 citations into it
• AI for Physical Sciences — 8 citations into it

Whom Alex Rodriguez trusts overall

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

1. J. Behler
2. Pasi Fränti

Who trusts Alex Rodriguez overall

1. Marius Pachitariu
2. Kristina P. Sinaga
3. Weifeng Ge
4. Jiangfan Han
5. Rui Liu
6. Mingjing Du
7. Ping Luo
8. Ziwei Liu
9. Yi Wang
10. Jie Cai

Papers from Alex Rodriguez's perspective

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

1. Variational Inference with Normalizing Flows
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Least squares quantization in PCM
6. Comparing molecules and solids across structural and alchemical space.
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Variational Approach to Molecular Kinetics. (Journal of Chemical Theory and Computation)

Their papers

• Clustering by fast search and find of density peaks (2014) — 3,435 citations
• Estimating the intrinsic dimension of datasets by a minimal neighborhood information (2017) — 477 citations
• Unsupervised Learning Methods for Molecular Simulation Data (2021) — 320 citations