Mihail Bogojeski

Materials Chemistry · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 81 citations into it
• Computational Theory and Mathematics — 49 citations into it
• Atomic and Molecular Physics, and Optics — 34 citations into it
• Spectroscopy — 5 citations into it

Whom Mihail Bogojeski trusts overall

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

1. Matthias Krack
2. Kristof T. Schütt
3. Geoffrey E. Hinton
4. Alexandre Tkatchenko
5. Matthias Rupp 
6. Vinod Nair
7. K. Müller
8. Stefan Chmiela
9. Dan Hendrycks
10. Grgoire Montavon

Who trusts Mihail Bogojeski overall

1. Kenneth Atz
2. Francesca Grisoni

Papers from Mihail Bogojeski's perspective

Ordered by how strongly the researchers Mihail Bogojeski 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Rectified Linear Units Improve Restricted Boltzmann Machines
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Quantum chemical accuracy from density functional approximations via machine learning (2020) — 329 citations
• SE(3)-equivariant prediction of molecular wavefunctions and electronic densities (2021) — 127 citations