Search Results for author: Geir Kjetil Sandve

Found 6 papers, 4 papers with code

ImmunoLingo: Linguistics-based formalization of the antibody language

no code implementations26 Sep 2022 Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, Victor Greiff

It would facilitate a better understanding of how differences and similarities between natural language and biological sequences influence the quality of LMs, which is crucial for the design of interpretable models with extractable sequence-functions relationship rules, such as the ones underlying the antibody specificity prediction problem.

Specificity

Linguistically inspired roadmap for building biologically reliable protein language models

no code implementations3 Jul 2022 Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, Bartlomiej Swiatczak, Victor Greiff, Geir Kjetil Sandve, Dag Trygve Truslew Haug

Differences between protein sequence data and linguistic sequence data require the integration of more domain-specific knowledge in protein LMs compared to natural language LMs.

Interpretable Machine Learning

DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation

1 code implementation6 May 2022 Ghadi S. Al Hajj, Johan Pensar, Geir Kjetil Sandve

Data simulation is fundamental for machine learning and causal inference, as it allows exploration of scenarios and assessment of methods in settings with full control of ground truth.

BIG-bench Machine Learning Causal Inference

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