Geir Kjetil Sandve

Full Professor, University of Oslo

Joined

June 2022

Names

Geir Kjetil Sandve (Preferred)

Emails

****@ifi.uio.no (Confirmed)

Personal Links

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Career & Education History

Full Professor

University of Oslo (uio.no)

2019 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

Causal inference

2018 – Present

Multiple-instance learning

2018 – Present

Statistical machine learning

2005 – Present

Publications

BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes
Tien-Ho Lin, Pradipta Ray, Geir Kjetil Sandve, Selen Uguroglu, Eric P. Xing
- RECOMB 2008
- Readers: Everyone
Incorporating probabilistic domain knowledge into deep multiple instance learning
Ghadi S. Al Hajj, Aliaksandr Hubin, Chakravarthi Kanduri, Milena Pavlovic, Knut Dagestad Rand, Michael Widrich, Anne Schistad Solberg, Victor Greiff, Johan Pensar, Günter Klambauer, Geir Kjetil Sandve
- ICML 2024 Poster
- Readers: Everyone
Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction
Philippe August Robert, Rahmad Akbar, Robert Frank, Milena Pavlović, 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 Truslew Haug, Fridtjof Lund-Johansen et al. (5 additional authors not shown)
- 07 May 2023 (modified: 08 May 2023)
- OpenReview Archive Direct Upload
- Readers: Everyone
Using hierarchical variational autoencoders to incorporate conditional independent priors for paired single-cell multi-omics data integration
Ping-Han Hsieh, Ru-Xiu Hsiao, Tatiana Belova, Katalin Ferenc, Anthony Mathelier, Rebekka Burkholz, Chien-Yu Chen, Geir Kjetil Sandve, Marieke Lydia Kuijjer
- 09 Oct 2022 (modified: 05 May 2023)
- LMRL 2022 Paper
- Readers: Everyone

Co-Authors

View all 43 co-authors

Geir Kjetil Sandve

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes

Incorporating probabilistic domain knowledge into deep multiple instance learning

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

Using hierarchical variational autoencoders to incorporate conditional independent priors for paired single-cell multi-omics data integration

Co-Authors