Maciej Majewski

Molecular Biology · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 43 citations into it

Whom Maciej Majewski trusts

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

1. Vijay S. Pande (in Molecular Biology)

Papers from Maciej Majewski's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
4. PyTorch: An Imperative Style, High-Performance Deep Learning Library
5. Perspective: Coarse-grained models for biomolecular systems. (Journal of Chemical Physics)
6. A Variational Approach to Modeling Slow Processes in Stochastic Dynamical Systems
7. Quantum-chemical insights from deep tensor neural networks
8. A multiscale coarse-graining method for biomolecular systems. (Journal of Physical Chemistry B)
9. The relative entropy is fundamental to multiscale and inverse thermodynamic problems. (Journal of Chemical Physics)
10. Macromolecular modeling with rosetta.

Their papers

• Coarse graining molecular dynamics with graph neural networks. (2020) — 219 citations
• An investigation of structural stability in protein-ligand complexes reveals the balance between order and disorder (2019) — 103 citations