Michael M. Hoffman
Molecular Biology · 2004–2022
A researcher in the Science corpus: 11 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 551 citations into it
- Artificial Intelligence — 249 citations into it
- Statistics and Probability — 20 citations into it
- Graph Learning — 13 citations into it
Whom Michael M. Hoffman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Michael M. Hoffman overall
- Daniel R. Zerbino
- Daniel Quang
- Jian Zhou
- Fernando Racimo
- Yifeng Li
- Dimitrios Kleftogiannis
- Ferhat Ay
- N. Foti
- Philipp Rentzsch
- Scott M. Lundberg
Papers from Michael M. Hoffman's perspective
Ordered by how strongly the researchers Michael M. Hoffman 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Distilling the Knowledge in a Neural Network (arXiv.org)
- This PDF file includes: Materials and Methods
- Efficient Estimation of Word Representations in Vector Space
- Generating Sequences With Recurrent Neural Networks
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Their papers
- Opportunities and obstacles for deep learning in biology and medicine (2017) — 2,030 citations
- Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution (2004) — 2,677 citations
- Unsupervised pattern discovery in human chromatin structure through genomic segmentation (2012) — 623 citations
- Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities (2018) — 586 citations
- A User's Guide to the Encyclopedia of DNA Elements (ENCODE) (2011) — 1,042 citations
- Sensitive tumour detection and classification using plasma cell-free DNA methylomes (2018) — 821 citations
- Metrics Reloaded: Recommendations for image analysis validation (2022) — 479 citations
- Transparency and reproducibility in artificial intelligence (2020) — 429 citations
- Learning the human chromatin network from all ENCODE ChIP-seq data (2015) — 26 citations
- Comparative analysis of metazoan chromatin organization (2014) — 361 citations
- Integrative annotation of chromatin elements from ENCODE data (2012) — 456 citations