Moritz Hoffmann
Molecular Biology · 2015–2020
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 43 citations into it
- Computational Theory and Mathematics — 30 citations into it
- Materials Chemistry — 25 citations into it
- Computational Chemistry & Drug Discovery — 17 citations into it
- Generative Models — 10 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- AI for Physical Sciences — 5 citations into it
Whom Moritz Hoffmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kristof T. Schütt
- Ishaan Gulrajani
- Noel M. O'Boyle
- Martín Arjovsky
- John C. Gower
- J. Dattorro
- Alexandre Tkatchenko
- Benjamín Sánchez-Lengeling
- Frank No'e
- Individualized Treat
Papers from Moritz Hoffmann's perspective
Ordered by how strongly the researchers Moritz Hoffmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Generating valid Euclidean distance matrices (2019) — 58 citations
- PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov Models. (2015) — 1,097 citations
- An open-source drug discovery platform enables ultra-large virtual screens (2020) — 519 citations