Maxwell L. Bileschi
Molecular Biology · 2017–2022
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 95 citations into it
- Artificial Intelligence — 20 citations into it
- Genetics — 17 citations into it
Whom Maxwell L. Bileschi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Sepp Hochreiter
- Yoshua Bengio
- Robert D. Finn
- Jimmy Ba
- Steven Henikoff
- Razvan Pascanu
- J. Urgen Schmidhuber
Who trusts Maxwell L. Bileschi overall
Papers from Maxwell L. Bileschi's perspective
Ordered by how strongly the researchers Maxwell L. Bileschi 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Using deep learning to annotate the protein universe (2019) — 304 citations
- Sequential regulatory activity prediction across chromosomes with convolutional neural networks (2017) — 513 citations
- InterPro in 2022 (2022) — 1,929 citations
- MGnify: the microbiome sequence data analysis resource in 2023 (2022) — 355 citations