Christian Dallago
Molecular Biology · 2018–2024
A researcher in the Science corpus: 9 papers; trusts 77 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 326 citations into it
- Computational Biology & Bioinformatics — 170 citations into it; #554 of 660 by trust here, #376 by citations
- Artificial Intelligence — 102 citations into it
- Materials Chemistry — 76 citations into it
- Natural Language Processing — 52 citations into it
- Representation & Self-Supervised Learning — 46 citations into it; #2,890 of 3,145 by trust here, #1,321 by citations
- Genetics — 39 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it
Whom Christian Dallago trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Burkhard Rost
- Geoffrey E. Hinton
- Christopher Sander
- Diederik P. Kingma
- Martin Steinegger
- Yoshua Bengio
- Ehsaneddin Asgari
- Tomas Mikolov
- Ilya Sutskever
- Alex Krizhevsky
Who trusts Christian Dallago overall
- Kevin Kaichuang Yang
- Chloe Hsu
- Dan Ofer
- Konstantin Weissenow
- Michael Heinzinger
- Roshan Rao
- Niccoló Zanichelli
Papers from Christian Dallago's perspective
Ordered by how strongly the researchers Christian Dallago trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- ProtTrans: Towards Cracking the Language of Life’s Code Through Self-Supervised Deep Learning and High Performance Computing (2020) — 1,354 citations
- The EVcouplings Python framework for coevolutionary sequence analysis (2018) — 276 citations
- Modeling aspects of the language of life through transfer-learning protein sequences (2019) — 548 citations
- Modeling the language of life – Deep Learning Protein Sequences (2019) — 48 citations
- The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics (2024) — 552 citations
- GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics (2022) — 142 citations
- End-to-end multitask learning, from protein language to protein features without alignments (2019) — 19 citations
- FLIP: Benchmark tasks in fitness landscape inference for proteins (2021) — 190 citations
- ProtTrans: Towards Cracking the Language of Life’s Code Through Self-Supervised Learning (2021)