Armin W. Thomas
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 5 papers; trusts 51 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Cognitive Neuroscience — 44 citations into it; #4,995 of 10,852 by trust here, #9,185 by citations
- Computer Vision and Pattern Recognition — 41 citations into it
- Model Architectures — 35 citations into it
- Large Language Models — 20 citations into it
- Radiology, Nuclear Medicine and Imaging — 17 citations into it; #1,280 of 3,265 by trust here, #2,837 by citations
- Optimization & Training — 12 citations into it
- Safety, Robustness & Interpretability — 10 citations into it
Whom Armin W. Thomas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Yann LeCun
- Geoffrey E. Hinton
- Christopher K. I. Williams
- Sepp Hochreiter
- Bruce Fischl
- Grgoire Montavon
- Xavier Glorot
- Alex Krizhevsky
- J. Urgen Schmidhuber
Who trusts Armin W. Thomas overall
- Wojciech Samek
- Sebastian Lapuschkin
- Grgoire Montavon
- Erico Tjoa
- K. Müller
- Cuntai Guan
- Christopher J. Anders
Papers from Armin W. Thomas's perspective
Ordered by how strongly the researchers Armin W. Thomas trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- On the Opportunities and Risks of Foundation Models (2021) — 6,923 citations
- Hungry Hungry Hippos: Towards Language Modeling with State Space Models (2022) — 677 citations
- HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution (2023) — 513 citations
- Interpretable LSTMs For Whole-Brain Neuroimaging Analyses (2018) — 20 citations
- Analyzing Neuroimaging Data Through Recurrent Deep Learning Models (2018) — 87 citations