Victor Greiff

According to our database, Victor Greiff authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Linguistically inspired roadmap for building biologically reliable protein language models.

Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, Bartlomiej Swiatczak, Geir Kjetil Sandve, Victor Greiff, Dag Trygve Truslew Haug

Nat. Mac. Intell., May, 2023

Bridging the neutralization gap for unseen antibodies.

Philippe A. Robert, Victor Greiff

Nat. Mac. Intell., January, 2023

Best practices for machine learning in antibody discovery and development.

Leonard Wossnig, Norbert Furtmann, Andrew Buchanan, Sandeep Kumar, Victor Greiff

CoRR, 2023

2022

Access to ground truth at unconstrained size makes simulated data as indispensable as experimental data for bioinformatics methods development and benchmarking.

Geir Kjetil Sandve, Victor Greiff

Bioinform., October, 2022

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.

Philippe A. Robert, Rahmad Akbar, Robert Frank, Milena Pavlovic, Michael Widrich, Igor Snapkov, Andrei Slabodkin, Maria Chernigovskaya, Lonneke Scheffer, Eva Smorodina, Puneet Rawat, Brij Bhushan Mehta, Mai Ha Vu, Ingvild Frøberg Mathisen, Aurél Prósz, Krzysztof Abram, Alex Olar, Enkelejda Miho, Dag Trygve Tryslew Haug, Fridtjof Lund-Johansen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff

Nat. Comput. Sci., 2022

ImmunoLingo: Linguistics-based formalization of the antibody language.

Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, Victor Greiff

CoRR, 2022

Advancing protein language models with linguistics: a roadmap for improved interpretability.

Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, Bartlomiej Swiatczak, Victor Greiff, Geir Kjetil Sandve, Dag Trygve Truslew Haug

CoRR, 2022

Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics.

Milena Pavlovic, Ghadi S. Al Hajj, Johan Pensar, Mollie Wood, Ludvig M. Sollid, Victor Greiff, Geir Kjetil Sandve

CoRR, 2022

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation.

Mohammad Asif Khan, Alexander I. Cowen-Rivers, Derrick-Goh-Xin Deik, Antoine Grosnit, Kamil Dreczkowski, Philippe A. Robert, Victor Greiff, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Haitham Bou-Ammar

CoRR, 2022

CompAIRR: ultra-fast comparison of adaptive immune receptor repertoires by exact and approximate sequence matching.

Torbjørn Rognes, Lonneke Scheffer, Victor Greiff, Geir Kjetil Sandve

Bioinform., 2022

Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery.

Wiktoria Wilman, Sonia Wróbel, Weronika Bielska, Piotr Deszynski, Pawel Dudzic, Igor Jaszczyszyn, Jedrzej Kaniewski, Jakub Mlokosiewicz, Anahita Rouyan, Tadeusz Satlawa, Sandeep Kumar, Victor Greiff, Konrad Krawczyk

Briefings Bioinform., 2022

TCRpower: quantifying the detection power of T-cell receptor sequencing with a novel computational pipeline calibrated by spike-in sequences.

Shiva Dahal-Koirala, Gabriel Balaban, Ralf Stefan Neumann, Lonneke Scheffer, Knut Erik Aslaksen Lundin, Victor Greiff, Ludvig Magne Sollid, Shuo-Wang Qiao, Geir Kjetil Sandve

Briefings Bioinform., 2022

2021

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.

Milena Pavlovic, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, Knut Waagan, Fabian L. M. Bernal, Alexandre Almeida Costa, Brian Corrie, Rahmad Akbar, Ghadi S. Al Hajj, Gabriel Balaban, Todd M. Brusko, Maria Chernigovskaya, Scott Christley, Lindsay G. Cowell, Robert Frank, Ivar Grytten, Sveinung Gundersen, Ingrid Hobæk Haff, Eivind Hovig, Ping-Han Hsieh, Günter Klambauer, Marieke L. Kuijjer, Christin Lund-Andersen, Antonio Martini, Thomas Minotto, Johan Pensar, Knut D. Rand, Enrico Riccardi, Philippe A. Robert, Artur Rocha, Andrei Slabodkin, Igor Snapkov, Ludvig M. Sollid, Dmytro Titov, Cédric R. Weber, Michael Widrich, Gur Yaari, Victor Greiff, Geir Kjetil Sandve

Nat. Mach. Intell., 2021

Modeling the Dynamics of T-Cell Development in the Thymus.

Philippe A. Robert, Heike Kunze-Schumacher, Victor Greiff, Andreas Krueger

Entropy, 2021

2020

Hopfield Networks is All You Need.

Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Milena Pavlovic, Geir Kjetil Sandve, Victor Greiff, David P. Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

CoRR, 2020

immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking.

Cédric R. Weber, Rahmad Akbar, Alexander Yermanos, Milena Pavlovic, Igor Snapkov, Geir Kjetil Sandve, Sai T. Reddy, Victor Greiff

Bioinform., 2020

Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences.

Erand Smakaj, Lmar Babrak, Mats Ohlin, Mikhail Shugay, Bryan S. Briney, Deniz Tosoni, Christopher Galli, Vendi Grobelsek, Igor D'Angelo, Branden J. Olson, Sai T. Reddy, Victor Greiff, Johannes Trück, Susanna Marquez, William D. Lees, Enkelejda Miho

Bioinform., 2020

Modern Hopfield Networks and Attention for Immune Repertoire Classification.

Michael Widrich, Bernhard Schäfl, Milena Pavlovic, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

Comparison of methods for phylogenetic B-cell lineage inference using time-resolved antibody repertoire simulations (AbSim).

Alexander Yermanos, Victor Greiff, Nike Julia Krautler, Ulrike Menzel, Andreas Dounas, Enkelejda Miho, Annette Oxenius, Tanja Stadler, Sai T. Reddy

Bioinform., 2017