Research

P1 Publications

  • Remote Sensing of Environment

    Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR

    Stefan Oehmcke, Lei Li, Katerina Trepekli, Jaime C. Revenga, Thomas Nord-Larsen, Fabian Gieseke, Christian Igel

  • Brain Communications

    COVID-19 Associated Cerebral Microbleeds in the General Population

    Malini V. Sagar, Neus R. Ferrer, Mostafa M. Ghazi, Kiril V. Klein, Espen Jimenez-Solem, Mads Nielsen, Christina Kruuse

  • Proceedings of the 9th Machine Learning for Healthcare Conference

    CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

    Mikkel Odgaard, Kiril V. Klein, Sanne M. Thysen, Espen Jimenez-Solem, Martin Sillesen, Mads Nielsen

  • 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)

    Convexity Based Pruning of Speech Representation Models

    Teresa Dorszewski, Lenka Tetkova, Lars K. Hansen

  • Association for Computational Linguistics

    Context versus Prior Knowledge in Language Models

    Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer White, Aaron Schein, Ryan Cotterell

  • 2024 International Joint Conference on Neural Networks (IJCNN)

    Complex Recurrent Variational Autoencoder for Speech Resynthesis and Enhancement

    Yuying Xie, Thomas Arildsen, Zheng-Hua Tan

  • Frontiers in Aging Neuroscience

    Comparative analysis of multimodal biomarkers for amyloid-beta positivity detection in Alzheimer’s disease cohorts

    Mostafa M. Ghazi, Per Selnes, Santiago Timón-Reina, Sandra Tecelão, Silvia Ingala, Atle Bjørnerud, Bjørn-Eivind Kirsebom, Tormod Fladby, Mads Nielsen

  • GeroScience

    Cognitive aging and reserve factors in the Metropolit 1953 Danish male cohort

    Mostafa M. Ghazi, Olalla Urdanibia-Centelles, Aftab Bakhtiari, Birgitte Fagerlund, Mark B. Vestergaard, Henrik B. W. Larsson, Erik L. Mortensen, Merete Osler, Mads Nielsen, Krisztina Benedek, Martin Lauritzen

  • Proceedings of the 41st International Conference on Machine Learning

    Coarse-To-Fine Tensor Trains for Compact Visual Representations

    Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge Belongie, Michael J. Kastoryano, Sagie Benaim

  • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

    CL-MAE: Curriculum-Learned Masked Autoencoders

    Neelu Madan, Nicolae C. Ristea, Kamal Nasrollahi, Thomas B. Moeslund, Radu T. Ionescu

  • Association for Computational Linguistics

    Can Transformers Learn n-gram Language Models?

    Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell

  • Patterns

    Can large language models reason about medical questions?

    Valentin Liévin, Christoffer E. Hother, Andreas G. Motzfeldt, Ole Winther

  • Natural Hazards and Earth System Sciences

    Brief communication: Small-scale geohazards cause significant and highly variable impacts on emotions

    Evgenia Ilyinskaya, Vésteinn Snæbjarnarson, Hanne K. Carlsen, Björn Oddsson

  • OCEANS 2024 - Singapore

    Bridging the Sim-to-Real GAP for Underwater Image Segmentation

    Luiza R. Marnet, Stella Graßhof, Yuri Brodskiy, Andrzej Wąsowski

  • IEEE Transactions on Neural Networks and Learning Systems

    BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck

    Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen

  • Imaging Neuroscience

    BOLD fMRI responses to amplitude-modulated sounds across age in adult listeners

    Søren A. Fuglsang, Jonatan Märcher-Rørsted, Kristoffer H. Madsen, Ditte H. Frantzen, Gerard Encina-Llamas, Charlotte Sørensen, Tim B. Dyrby, Torsten Dau, Jens Hjortkjær, Hartwig R. Siebner

  • CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

    Blended Whiteboard: Physicality and Reconfigurability in Remote Mixed Reality Collaboration

    Jens E. S. Grønbæk, Juan S. Esquivel, Germán Leiva, Eduardo Velloso, Hans Gellersen, Ken Pfeuffer

  • Advances in Neural Information Processing Systems 37

    BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity

    Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo M. Arias, Nicholas Pellegrino, Austin T. Wang, Joakim B. Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul Fieguth, Angel X. Chang

  • Vand & Jord

    Automatiseret genkendelse og længdeestimering af fisk på fiskefartøjer

    Stefan H. Bengston, Malte Pedersen, Niels Madsen

  • International Journal of Human-Computer Studies

    Augmenting the feel of real objects: An analysis of haptic augmented reality

    Arpit Bhatia, Kasper Hornbæk, Hasti Seifi

  • International Speech Communication Association

    Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations

    Sarthak Yadav, Zheng-Hua Tan

  • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

    Assessing Neural Network Robustness via Adversarial Pivotal Tuning

    Peter E. Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge Belongie, Sagie Benaim

  • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

    AssemblyNet: A Point Cloud Dataset and Benchmark for Predicting Part Directions in an Exploded Layout

    Jesper Gaarsdal, Joakim B. Haurum, Sune Wolff, Claus B. Madsen

  • Nature Scientific Reports

    AI supported fetal echocardiography with quality assessment

    Caroline A. Taksoee-Vester, Kamil Mikolaj, Zahra Bashir, Anders N. Christensen, Olav B. Petersen, Karin Sundberg, Aasa Feragen, Morten B. S. Svendsen, Mads Nielsen, Martin G. Tolsgaard

  • Computer Vision – ECCV 2024

    Agglomerative Token Clustering

    Joakim B. Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund