Simon Olsson
Molecular Biology · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 37 citations into it
Whom Simon Olsson trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Vijay S. Pande (in Molecular Biology)
Papers from Simon Olsson's perspective
Ordered by how strongly the researchers Simon Olsson trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- A Variational Approach to Modeling Slow Processes in Stochastic Dynamical Systems
- Perspective: Coarse-grained models for biomolecular systems. (Journal of Chemical Physics)
- The relative entropy is fundamental to multiscale and inverse thermodynamic problems. (Journal of Chemical Physics)
- A multiscale coarse-graining method for biomolecular systems. (Journal of Physical Chemistry B)
- To Milliseconds and Beyond: Challenges in the Simulation of Protein Folding (Current Opinion in Structural Biology)
- Quantum-chemical insights from deep tensor neural networks
Their papers
- Coarse graining molecular dynamics with graph neural networks. (2020) — 219 citations