Bjørn Sand Jensen

According to our database, Bjørn Sand Jensen authored at least 25 papers between 2008 and 2024.

Collaborative distances:

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

2024

SepMamba: State-space models for speaker separation using Mamba.

Thor Højhus Avenstrup, Boldizsár Elek, István László Mádi, András Bence Schin, Morten Mørup, Bjørn Sand Jensen, Kenny Falkær Olsen

CoRR, 2024

2023

Reinforcement learning guided fuzz testing for a browser's HTML rendering engine.

Martin Sablotny, Bjørn Sand Jensen, Jeremy Singer

CoRR, 2023

CP2Image: Generating high-quality single-cell images using CellProfiler representations.

Yanni Ji, Marie Cutiongco, Bjørn Sand Jensen, Ke Yuan

Proceedings of the Medical Imaging with Deep Learning, 2023

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.

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

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.

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

IEEE Trans. Medical Imaging, 2022

Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues.

Ankush Aggarwal, Bjørn Sand Jensen, Sanjay Pant, Chung-Hao Lee

CoRR, 2022

Anomaly Detection via Context and Local Feature Matching.

Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Learning Robust Controllers Via Probabilistic Model-Based Policy Search.

Valentin Charvet, Bjørn Sand Jensen, Roderick Murray-Smith

CoRR, 2021

Probabilistic selection of inducing points in sparse Gaussian processes.

Anders Kirk Uhrenholt, Valentin Charvet, Bjørn Sand Jensen

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations.

Nikos Pitsillos, Ameya Pore, Bjørn Sand Jensen, Gerardo Aragon-Camarasa

Proceedings of the IEEE International Conference on Development and Learning, 2021

2020

Odd-One-Out Representation Learning.

Salman Mohammadi, Anders Kirk Uhrenholt, Bjørn Sand Jensen

CoRR, 2020

2019

Variational Sparse Coding.

Francesco Tonolini, Bjørn Sand Jensen, Roderick Murray-Smith

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Efficient Bayesian Optimization for Target Vector Estimation.

Anders Kirk Uhrenholt, Bjørn Sand Jensen

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Recurrent Neural Networks for Fuzz Testing Web Browsers.

Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson

Proceedings of the Information Security and Cryptology - ICISC 2018, 2018

2015

Learning Combinations of Multiple Feature Representations for Music Emotion Prediction.

Jens Madsen, Bjørn Sand Jensen, Jan Larsen

Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia, 2015

2014

A Topic Model Approach to Multi-Modal Similarity.

Rasmus Troelsgård, Bjørn Sand Jensen, Lars Kai Hansen

CoRR, 2014

Modeling Temporal Structure in Music for Emotion Prediction using Pairwise Comparisons.

Jens Madsen, Bjørn Sand Jensen, Jan Larsen

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

2013

Bounded Gaussian process regression.

Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Towards a universal representation for audio information retrieval and analysis.

Bjørn Sand Jensen, Rasmus Troelsgård, Jan Larsen, Lars Kai Hansen

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Pseudo inputs for pairwise learning with Gaussian processes.

Jens Brehm Nielsen, Bjørn Sand Jensen, Jan Larsen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Haussdorff and hellinger for colorimetric sensor array classification.

Tommy S. Alstrøm, Bjørn Sand Jensen, Mikkel N. Schmidt, Natalie V. Kostesha, Jan Larsen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

A predictive model of music preference using pairwise comparisons.

Bjørn Sand Jensen, Javier Saez Gallego, Jan Larsen

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons.

Jens Madsen, Bjørn Sand Jensen, Jan Larsen

Proceedings of the From Sounds to Music and Emotions - 9th International Symposium, 2012

2011

Efficient preference learning with pairwise continuous observations and Gaussian Processes.

Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2008

A service based estimation method for MPSoC performance modelling.

Anders Sejer Tranberg-Hansen, Jan Madsen, Bjørn Sand Jensen

Proceedings of the IEEE Third International Symposium on Industrial Embedded Systems, 2008