Bjørn Sand Jensen

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 16

Top Topics

Reinforcement Learning

Gaussian Process

Top Venues

Publications

Yanni Ji, Marie Cutiongco, Bjørn Sand Jensen, Ke Yuan
CP2Image: Generating high-quality single-cell images using CellProfiler representations. MIDL (2023)
Martin Sablotny, Bjørn Sand Jensen, Jeremy Singer
Reinforcement learning guided fuzz testing for a browser's HTML rendering engine. CoRR (2023)
David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin (2023)
Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil
Anomaly Detection via Context and Local Feature Matching. ISBI (2022)
David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41 (10) (2022)
Ankush Aggarwal, Bjørn Sand Jensen, Sanjay Pant, Chung-Hao Lee
Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues. CoRR (2022)
Valentin Charvet, Bjørn Sand Jensen, Roderick Murray-Smith
Learning Robust Controllers Via Probabilistic Model-Based Policy Search. CoRR (2021)
Nikos Pitsillos, Ameya Pore, Bjørn Sand Jensen, Gerardo Aragon-Camarasa
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations. ICDL (2021)
Anders Kirk Uhrenholt, Valentin Charvet, Bjørn Sand Jensen
Probabilistic selection of inducing points in sparse Gaussian processes. UAI (2021)
Nikos Pitsillos, Ameya Pore, Bjørn Sand Jensen, Gerardo Aragon-Camarasa
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations. CoRR (2020)
Salman Mohammadi, Anders Kirk Uhrenholt, Bjørn Sand Jensen
Odd-One-Out Representation Learning. CoRR (2020)
Anders Kirk Uhrenholt, Valentin Charvet, Bjørn Sand Jensen
Probabilistic selection of inducing points in sparse Gaussian processes. CoRR (2020)
Anders Kirk Uhrenholt, Bjørn Sand Jensen
Efficient Bayesian Optimization for Target Vector Estimation. AISTATS (2019)
Francesco Tonolini, Bjørn Sand Jensen, Roderick Murray-Smith
Variational Sparse Coding. UAI (2019)
Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson
Recurrent Neural Networks for Fuzz Testing Web Browsers. CoRR (2018)
Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson
Recurrent Neural Networks for Fuzz Testing Web Browsers. ICISC (2018)
Jens Madsen, Bjørn Sand Jensen, Jan Larsen
Learning Combinations of Multiple Feature Representations for Music Emotion Prediction. ASM@ACM Multimedia (2015)
Rasmus Troelsgård, Bjørn Sand Jensen, Lars Kai Hansen
A Topic Model Approach to Multi-Modal Similarity. CoRR (2014)
Jens Madsen, Bjørn Sand Jensen, Jan Larsen
Modeling Temporal Structure in Music for Emotion Prediction using Pairwise Comparisons. ISMIR (2014)
Bjørn Sand Jensen, Rasmus Troelsgård, Jan Larsen, Lars Kai Hansen
Towards a universal representation for audio information retrieval and analysis. ICASSP (2013)
Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen
Bounded Gaussian process regression. MLSP (2013)
Tommy S. Alstrøm, Bjørn Sand Jensen, Mikkel N. Schmidt, Natalie V. Kostesha, Jan Larsen
Haussdorff and hellinger for colorimetric sensor array classification. MLSP (2012)
Jens Madsen, Bjørn Sand Jensen, Jan Larsen
Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons. CMMR (2012)
Jens Brehm Nielsen, Bjørn Sand Jensen, Jan Larsen
Pseudo inputs for pairwise learning with Gaussian processes. MLSP (2012)
Bjørn Sand Jensen, Javier Saez Gallego, Jan Larsen
A predictive model of music preference using pairwise comparisons. ICASSP (2012)
Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen
Efficient preference learning with pairwise continuous observations and Gaussian Processes. MLSP (2011)
Anders Sejer Tranberg-Hansen, Jan Madsen, Bjørn Sand Jensen
A service based estimation method for MPSoC performance modelling. SIES (2008)