Cyrill Brunner

2023

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Cyrill Brunner's perspective

Ordered by how strongly the researchers Cyrill Brunner trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
3. The Curious Case of Neural Text Degeneration
4. Molecular de-novo design through deep reinforcement learning
5. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
6. Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
7. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
8. To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
9. The properties of known drugs. 1. Molecular frameworks.
10. A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES

Their papers

• Leveraging molecular structure and bioactivity with chemical language models for de novo drug design (2023) — 142 citations