D. Merk
Molecular Biology · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 29 citations into it; #17,331 of 17,773 by trust here, #10,047 by citations
- Computational Theory and Mathematics — 27 citations into it; #10,456 of 12,182 by trust here, #2,351 by citations
Whom D. Merk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts D. Merk overall
Papers from D. Merk's perspective
Ordered by how strongly the researchers D. Merk trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Automating drug discovery (Nature reviews. Drug discovery)
- “Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models (Chemical Science)
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators (2018) — 117 citations
- De Novo Design of Bioactive Small Molecules by Artificial Intelligence (2018) — 329 citations
- Combining generative artificial intelligence and on-chip synthesis for de novo drug design (2020) — 144 citations