Marta M. Stepniewska-Dziubinska
Molecular Biology · 2017–2023
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 61 citations into it
- Computational Biology & Bioinformatics — 34 citations into it
- Computational Theory and Mathematics — 30 citations into it
- Materials Chemistry — 30 citations into it
- Computational Chemistry & Drug Discovery — 15 citations into it
- Spectroscopy — 5 citations into it
Whom Marta M. Stepniewska-Dziubinska trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pedro J. Ballester
- Jacob D. Durrant
- Marcel L. Verdonk
- George E. Dahl
- Alessandro Lusci
- Michael K. K. Leung
- Christof Angermueller
- Steven M. Kearnes
- Matthew Ragoza
- J. Jiménez
Papers from Marta M. Stepniewska-Dziubinska's perspective
Ordered by how strongly the researchers Marta M. Stepniewska-Dziubinska trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)