Author of the publication

Hopfield Networks is All You Need

, , , , , , , , , , , , , , , and . (2020)cite arxiv:2008.02217Comment: 10 pages (+ appendix); 12 figures; Blog: https://ml-jku.github.io/hopfield-layers/; GitHub: https://github.com/ml-jku/hopfield-layers.

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Bridging the neutralization gap for unseen antibodies., and . Nat. Mac. Intell., 5 (1): 8-10 (January 2023)Linguistically inspired roadmap for building biologically reliable protein language models., , , , , , and . Nat. Mac. Intell., 5 (5): 485-496 (May 2023)Best practices for machine learning in antibody discovery and development., , , , and . CoRR, (2023)ImmunoLingo: Linguistics-based formalization of the antibody language., , , , , , and . CoRR, (2022)Hopfield Networks is All You Need, , , , , , , , , and 6 other author(s). (2020)cite arxiv:2008.02217Comment: 10 pages (+ appendix); 12 figures; Blog: https://ml-jku.github.io/hopfield-layers/; GitHub: https://github.com/ml-jku/hopfield-layers.AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation., , , , , , , , , and 1 other author(s). CoRR, (2022)Advancing protein language models with linguistics: a roadmap for improved interpretability., , , , , , and . CoRR, (2022)Comparison of methods for phylogenetic B-cell lineage inference using time-resolved antibody repertoire simulations (AbSim)., , , , , , , , and . Bioinform., 33 (24): 3938-3946 (2017)TCRpower: quantifying the detection power of T-cell receptor sequencing with a novel computational pipeline calibrated by spike-in sequences., , , , , , , , and . Briefings Bioinform., (2022)Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery., , , , , , , , , and 3 other author(s). Briefings Bioinform., (2022)