Bjørn Sand Jensen

31 papers A 3Misc 4Journal 12Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generating realistic single-cell images from CellProfiler representations. Medical Image Anal. Yanni Ji, Marie Cutiongco, Bjørn Sand Jensen, Ke Yuan
2025	J	`jnl`	Knowing When to Quit: Probabilistic Early Exits for Speech Separation. CoRR Kenny Falkær Olsen, Mads Østergaard, Karl Ulbæk, Søren Føns Vind Nielsen, Rasmus Malik Høegh Lindrup, Bjørn Sand Jensen, Morten Mørup
2025	Misc	`conf`	SepMamba: State-Space Models for Speaker Separation Using Mamba. ICASSP Thor Højhus Avenstrup, Boldizsár Elek, István László Mádi, András Bence Schin, Morten Mørup, Bjørn Sand Jensen, Kenny Falkær Olsen
2024	J	`jnl`	SepMamba: State-space models for speaker separation using Mamba. CoRR Thor Højhus Avenstrup, Boldizsár Elek, István László Mádi, András Bence Schin, Morten Mørup, Bjørn Sand Jensen, Kenny Falkær Olsen
2023	—	`conf`	Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 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
2023	—	`conf`	CP2Image: Generating high-quality single-cell images using CellProfiler representations. MIDL Yanni Ji, Marie Cutiongco, Bjørn Sand Jensen, Ke Yuan
2023	J	`jnl`	Reinforcement learning guided fuzz testing for a browser's HTML rendering engine. CoRR Martin Sablotny, Bjørn Sand Jensen, Jeremy Singer
2022	—	`conf`	Anomaly Detection via Context and Local Feature Matching. ISBI Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil
2022	J	`jnl`	MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 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
2022	J	`jnl`	Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues. CoRR Ankush Aggarwal, Bjørn Sand Jensen, Sanjay Pant, Chung-Hao Lee
2021	—	`conf`	Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations. ICDL Nikos Pitsillos, Ameya Pore, Bjørn Sand Jensen, Gerardo Aragon-Camarasa
2021	J	`jnl`	Learning Robust Controllers Via Probabilistic Model-Based Policy Search. CoRR Valentin Charvet, Bjørn Sand Jensen, Roderick Murray-Smith
2021	A	`conf`	Probabilistic selection of inducing points in sparse Gaussian processes. UAI Anders Kirk Uhrenholt, Valentin Charvet, Bjørn Sand Jensen
2020	J	`jnl`	Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations. CoRR Nikos Pitsillos, Ameya Pore, Bjørn Sand Jensen, Gerardo Aragon-Camarasa
2020	J	`jnl`	Odd-One-Out Representation Learning. CoRR Salman Mohammadi, Anders Kirk Uhrenholt, Bjørn Sand Jensen
2020	J	`jnl`	Probabilistic selection of inducing points in sparse Gaussian processes. CoRR Anders Kirk Uhrenholt, Valentin Charvet, Bjørn Sand Jensen
2019	A	`conf`	Efficient Bayesian Optimization for Target Vector Estimation. AISTATS Anders Kirk Uhrenholt, Bjørn Sand Jensen
2019	A	`conf`	Variational Sparse Coding. UAI Francesco Tonolini, Bjørn Sand Jensen, Roderick Murray-Smith
2018	Misc	`conf`	Recurrent Neural Networks for Fuzz Testing Web Browsers. ICISC Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson
2018	J	`jnl`	Recurrent Neural Networks for Fuzz Testing Web Browsers. CoRR Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson
2015	—	`conf`	Learning Combinations of Multiple Feature Representations for Music Emotion Prediction. ASM@ACM Multimedia Jens Madsen, Bjørn Sand Jensen, Jan Larsen
2014	J	`jnl`	A Topic Model Approach to Multi-Modal Similarity. CoRR Rasmus Troelsgård, Bjørn Sand Jensen, Lars Kai Hansen
2014	—	`conf`	Modeling Temporal Structure in Music for Emotion Prediction using Pairwise Comparisons. ISMIR Jens Madsen, Bjørn Sand Jensen, Jan Larsen
2013	—	`conf`	Bounded Gaussian process regression. MLSP Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen
2013	Misc	`conf`	Towards a universal representation for audio information retrieval and analysis. ICASSP Bjørn Sand Jensen, Rasmus Troelsgård, Jan Larsen, Lars Kai Hansen
2012	Misc	`conf`	A predictive model of music preference using pairwise comparisons. ICASSP Bjørn Sand Jensen, Javier Saez Gallego, Jan Larsen
2012	—	`conf`	Haussdorff and hellinger for colorimetric sensor array classification. MLSP Tommy S. Alstrøm, Bjørn Sand Jensen, Mikkel N. Schmidt, Natalie V. Kostesha, Jan Larsen
2012	—	`conf`	Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons. CMMR Jens Madsen, Bjørn Sand Jensen, Jan Larsen
2012	—	`conf`	Pseudo inputs for pairwise learning with Gaussian processes. MLSP Jens Brehm Nielsen, Bjørn Sand Jensen, Jan Larsen
2011	—	`conf`	Efficient preference learning with pairwise continuous observations and Gaussian Processes. MLSP Bjørn Sand Jensen, Jens Brehm Nielsen, Jan Larsen
2008	—	`conf`	A service based estimation method for MPSoC performance modelling. SIES Anders Sejer Tranberg-Hansen, Jan Madsen, Bjørn Sand Jensen