Lars Kai Hansen

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 62

Top Venues

Publications

Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners. ICLR (2024)
Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Hvas Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann
Using sequences of life-events to predict human lives. Nat. Comput. Sci. 4 (1) (2024)
Beatrix Miranda Ginn Nielsen, Lars Kai Hansen
Hubness Reduction Improves Sentence-BERT Semantic Spaces. NLDL (2024)
Lenka Tetková, Teresa Karen Scheidt, Maria Mandrup Fogh, Ellen Marie Gaunby Jørgensen, Finn Årup Nielsen, Lars Kai Hansen
Knowledge graphs for empirical concept retrieval. CoRR (2024)
Lenka Tetková, Erik Schou Dreier, Robin Malm, Lars Kai Hansen
Challenges in explaining deep learning models for data with biological variation. CoRR (2024)
Beatrix M. G. Nielsen, Lars Kai Hansen
Hubness Reduction Improves Sentence-BERT Semantic Spaces. CoRR (2023)
Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen
On the role of Model Uncertainties in Bayesian Optimization. CoRR (2023)
Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen
On the role of model uncertainties in Bayesian optimisation. UAI (2023)
Lenka Tetková, Thea Brüsch, Teresa Karen Scheidt, Fabian Martin Mager, Rasmus Ørtoft Aagaard, Jonathan Foldager, Tommy Sonne Alstrøm, Lars Kai Hansen
On convex conceptual regions in deep network representations. CoRR (2023)
Anders Gjølbye Madsen, William Theodor Lehn-Schiøler, Áshildur Jónsdóttir, Bergdís Arnardóttir, Lars Kai Hansen
Concept-Based Explainability for an EEG Transformer Model. MLSP (2023)
Lenka Tetková, Lars Kai Hansen
Robustness of Visual Explanations to Common Data Augmentation. CoRR (2023)
Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan
Masked Autoencoders with Multi-Window Attention Are Better Audio Learners. CoRR (2023)
Lenka Tetková, Lars Kai Hansen
Robustness of Visual Explanations to Common Data Augmentation Methods. CVPR Workshops (2023)
Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann
Using Sequences of Life-events to Predict Human Lives. CoRR (2023)
Anders Gjølbye Madsen, William Theodor Lehn-Schiøler, Áshildur Jónsdóttir, Bergdís Arnardóttir, Lars Kai Hansen
Concept-based explainability for an EEG transformer model. CoRR (2023)
Nicolai Pedersen, Torsten Dau, Lars Kai Hansen, Jens Hjortkjær
Modulation transfer functions for audiovisual speech. PLoS Comput. Biol. 18 (7) (2022)
Christoffer Riis, Damian Konrad Kowalczyk, Lars Kai Hansen
On the Limits to Multi-modal Popularity Prediction on Instagram: A New Robust, Efficient and Explainable Baseline. ICAART (2) (2021)
Greta Tuckute, Sofie Therese Hansen, Troels Wesenberg Kjaer, Lars Kai Hansen
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback. Neural Comput. 33 (4) (2021)
Raluca Alexandra Fetic, Mikkel Jordahn, Lucas Chaves Lima, Rasmus Arpe Fogh Egebæk, Martin Carsten Nielsen, Benjamin Biering, Lars Kai Hansen
Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts. CoRR (2021)
Cilie W. Feldager, Søren Hauberg, Lars Kai Hansen
Spontaneous Symmetry Breaking in Data Visualization. ICANN (2) (2021)
Petr Taborsky, Lars Kai Hansen
Generalization by design: Shortcuts to Generalization in Deep Learning. CoRR (2021)
Jeppe Nørregaard, Lars Kai Hansen
Probabilistic Decoupling of Labels in Classification. CoRR (2020)
Christoffer Riis, Damian Konrad Kowalczyk, Lars Kai Hansen
On the Limits to Multi-Modal Popularity Prediction on Instagram - A New Robust, Efficient and Explainable Baseline. CoRR (2020)
Laura Rieger, Lars Kai Hansen
A simple defense against adversarial attacks on heatmap explanations. CoRR (2020)
Damian Konrad Kowalczyk, Lars Kai Hansen
The Complexity of Social Media Response: Statistical Evidence for One-dimensional Engagement Signal in Twitter. ICAART (2) (2020)
Jia Qian, Lars Kai Hansen
What can we learn from gradients? CoRR (2020)
Jia Qian, Lars Kai Hansen, Xenofon Fafoutis, Prayag Tiwari, Hari Mohan Pandey
Robustness analytics to data heterogeneity in edge computing. Comput. Commun. 164 (2020)
Laura Rieger, Rasmus M. Th. Høegh, Lars Kai Hansen
Client Adaptation improves Federated Learning with Simulated Non-IID Clients. CoRR (2020)
Laura Rieger, Lars Kai Hansen
IROF: a low resource evaluation metric for explanation methods. CoRR (2020)
Jia Qian, Xenofon Fafoutis, Lars Kai Hansen
Towards Federated Learning: Robustness Analytics to Data Heterogeneity. CoRR (2020)
Niels Bruun Ipsen, Lars Kai Hansen
Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size! ICML (2019)
Finn Årup Nielsen, Lars Kai Hansen
Combining embedding methods for a word intrusion task. KONVENS (2019)
Jia Qian, Sarada Prasad Gochhayat, Lars Kai Hansen
Distributed Active Learning Strategies on Edge Computing. CSCloud/EdgeCom (2019)
Niels Bruun Ipsen, Lars Kai Hansen
Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size! CoRR (2019)
Jia Qian, Sayantan Sengupta, Lars Kai Hansen
Active Learning Solution on Distributed Edge Computing. CoRR (2019)
Damian Konrad Kowalczyk, Lars Kai Hansen
The Complexity of Social Media Response: Statistical Evidence For One-Dimensional Engagement Signal in Twitter. CoRR (2019)
Laura Rieger, Lars Kai Hansen
Aggregating explainability methods for neural networks stabilizes explanations. CoRR (2019)
Greta Tuckute, Sofie Therese Hansen, Nicolai Pedersen, Dea Steenstrup, Lars Kai Hansen
Single-Trial Decoding of Scalp EEG under Natural Conditions. Comput. Intell. Neurosci. 2019 (2019)
Jeppe Nørregaard, Lars Kai Hansen
Probabilistic Decoupling of Labels in Classification. CoRR (2019)
Sofie Therese Hansen, Apit Hemakom, Mads Gylling Safeldt, Lærke Karen Krohne, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Danilo P. Mandic, Lars Kai Hansen
Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition. Comput. Intell. Neurosci. 2019 (2019)
Søren Føns Vind Nielsen, Yuri Levin-Schwartz, Diego Vidaurre, Tülay Adali, Vince D. Calhoun, Kristoffer Hougaard Madsen, Lars Kai Hansen, Morten Mørup
Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy. ICASSP (2018)
Teresa Anna Steiner, David Enslev Nyrnberg, Lars Kai Hansen
A Differential Privacy Workflow for Inference of Parameters in the Rasch Model. MIDAS/PAP@PKDD/ECML (2018)
Rasmus Troelsgård, Lars Kai Hansen
Sequence Classification Using Third-Order Moments. Neural Comput. 30 (1) (2018)
Andreas Muff Munk, Kristoffer Vinther Olesen, Sirin Wilhelmsen Gangstad, Lars Kai Hansen
Semi-Supervised Sleep-Stage Scoring Based on Single Channel EEG. ICASSP (2018)
Finn Årup Nielsen, Lars Kai Hansen
. DL4KGS@ESWC (2018)
Tülay Adali, H. Joel Trussell, Lars Kai Hansen, Vince D. Calhoun
The Dangers of Following Trends in Research: Sparsity and Other Examples of Hammers in Search of Nails. Proc. IEEE 106 (6) (2018)
Michael Riis Andersen, Ole Winther, Lars Kai Hansen, Russell A. Poldrack, Oluwasanmi Koyejo
Bayesian Structure Learning for Dynamic Brain Connectivity. AISTATS (2018)
Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
Latent Space Oddity: on the Curvature of Deep Generative Models. ICLR (Poster) (2018)
Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring. CoRR (2017)
Rasmus S. Andersen, Anders U. Eliasen, Nicolai Pedersen, Michael Riis Andersen, Sofie Therese Hansen, Lars Kai Hansen
EEG source imaging assists decoding in a face recognition task. ICASSP (2017)
Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring. MLSP (2017)
Sofie Therese Hansen, Lars Kai Hansen
Spatio-temporal reconstruction of brain dynamics from EEG with a Markov prior. NeuroImage 148 (2017)
Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
Adaptive Smoothing in fMRI Data Processing Neural Networks. CoRR (2017)
Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
Adaptive smoothing in fMRI data processing neural networks. PRNI (2017)
Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
Maximum Likelihood Estimation of Riemannian Metrics from Euclidean Data. GSI (2017)
Michael Riis Andersen, Aki Vehtari, Ole Winther, Lars Kai Hansen
Bayesian Inference for Spatio-temporal Spike-and-Slab Priors. J. Mach. Learn. Res. 18 (2017)
Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
A Locally Adaptive Normal Distribution. NIPS (2016)
Andreas Trier Poulsen, Simon Kamronn, Jacek Dmochowski, Lucas C. Parra, Lars Kai Hansen
Measuring engagement in a classroom: Synchronised neural recordings during a video presentation. CoRR (2016)
Søren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen, John W. Fisher III, Lars Kai Hansen
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation. AISTATS (2016)
Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
Towards end-to-end optimisation of functional image analysis pipelines. CoRR (2016)
Sofie Therese Hansen, Søren Hauberg, Lars Kai Hansen
Data-driven forward model inference for EEG brain imaging. NeuroImage 139 (2016)
Gitte Moos Knudsen, Peter S. Jensen, David Erritzoe, William F. C. Baaré, Anders Ettrup, Patrick M. Fisher, Nic Gillings, Hanne D. Hansen, Lars Kai Hansen, Steen G. Hasselbalch, Susanne Henningsson, Matthias M. Herth, Klaus K. Holst, Pernille Iversen, Lars Vedel Kessing, Julian Macoveanu, Kathrine Skak Madsen, Erik L. Mortensen, Finn Årup Nielsen, Olaf B. Paulson, Hartwig R. Siebner, Dea S. Stenbæk, Claus Svarer, Terry L. Jernigan, Stephen C. Strother, Vibe G. Frokjaer
The Center for Integrated Molecular Brain Imaging (Cimbi) database. NeuroImage 124 (2016)
Søren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen, John W. Fisher III, Lars Kai Hansen
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation. CoRR (2015)
Tülay Adali, Christian Jutten, Lars Kai Hansen
Multimodal Data Fusion [Scanning the Issue]. Proc. IEEE 103 (9) (2015)
Sofie Therese Hansen, Irene Winkler, Lars Kai Hansen, Klaus-Robert Müller, Sven Dähne
Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information. PRNI (2015)
Simon Kamronn, Andreas Trier Poulsen, Lars Kai Hansen
Multiview Bayesian Correlated Component Analysis. Neural Comput. 27 (10) (2015)
Sofie Therese Hansen, Lars Kai Hansen
EEG source reconstruction performance as a function of skull conductance contrast. ICASSP (2015)
Martin C. Axelsen, Nikolaj Bak, Lars Kai Hansen
Testing Multimodal Integration Hypotheses with Application to Schizophrenia Data. PRNI (2015)
Rasmus Bonnevie, Lars Kai Hansen
Fast sampling from a Hidden Markov Model posterior for large data. MLSP (2014)
Sofie Therese Hansen, Lars Kai Hansen
EEG source reconstruction using sparse basis function representations. PRNI (2014)
Michael Riis Andersen, Ole Winther, Lars Kai Hansen
Bayesian Inference for Structured Spike and Slab Priors. NIPS (2014)
Rasmus Troelsgård, Bjørn Sand Jensen, Lars Kai Hansen
A Topic Model Approach to Multi-Modal Similarity. CoRR (2014)
Bjarne Ørum Fruergaard, Lars Kai Hansen
Compact web browsing profiles for click-through rate prediction. MLSP (2014)
Andreas Trier Poulsen, Simon Kamronn, Lucas C. Parra, Lars Kai Hansen
Bayesian correlated component analysis for inference of joint EEG activation. PRNI (2014)
Lars Kai Hansen, Søren Holdt Jensen, Jan Larsen
Preface. CIP (2014)
Arkadiusz Stopczynski, Dazza Greenwood, Lars Kai Hansen, Alex Pentland
Privacy for Personal Neuroinformatics. CoRR (2014)
Jair Montoya-Martínez, Antonio Artés-Rodríguez, Massimiliano Pontil, Lars Kai Hansen
A regularized matrix factorization approach to induce structured sparse-low-rank solutions in the EEG inverse problem. EURASIP J. Adv. Signal Process. 2014 (2014)
Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig Roman Siebner, Mikkel N. Schmidt, Morten Mørup, Lars Kai Hansen
Non-parametric Bayesian graph models reveal community structure in resting state fMRI. NeuroImage 100 (2014)
Toke Jansen Hansen, Trine Julie Abrahamsen, Lars Kai Hansen
Denoising by semi-supervised kernel PCA preimaging. Pattern Recognit. Lett. 49 (2014)
Ivana Konvalinka, Markus Bauer, Carsten Stahlhut, Lars Kai Hansen, Andreas Roepstorff, Chris D. Frith
Frontal alpha oscillations distinguish leaders from followers: Multivariate decoding of mutually interacting brains. NeuroImage 94 (2014)
Bjarne Ørum Fruergaard, Toke Jansen Hansen, Lars Kai Hansen
Dimensionality reduction for click-through rate prediction: Dense versus sparse representation. CoRR (2013)
Carsten Stahlhut, Hagai Thomas Attias, Kensuke Sekihara, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan
A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors. ISBI (2013)
Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, Ingemar J. Cox, Lars Kai Hansen, Peter Ingwersen, Ole Winther
FindZebra: A search engine for rare diseases. Int. J. Medical Informatics 82 (6) (2013)
Jerónimo Arenas-García, Kaare Brandt Petersen, Gustavo Camps-Valls, Lars Kai Hansen
Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods. CoRR (2013)
Bjørn Sand Jensen, Rasmus Troelsgård, Jan Larsen, Lars Kai Hansen
Towards a universal representation for audio information retrieval and analysis. ICASSP (2013)
Jerónimo Arenas-García, Kaare Brandt Petersen, Gustavo Camps-Valls, Lars Kai Hansen
Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods. IEEE Signal Process. Mag. 30 (4) (2013)
Camilla Birgitte Falk Jensen, Michael Kai Petersen, Jakob Eg Larsen, Arkadiusz Stopczynski, Carsten Stahlhut, Marieta Georgieva Ivanova, Tobias Andersen, Lars Kai Hansen
Spatio temporal media components for neurofeedback. ICME Workshops (2013)
Lars Kai Hansen, Sofie Therese Hansen, Carsten Stahlhut
Mobile real-time EEG imaging Bayesian inference with sparse, temporally smooth source priors. BCI (2013)
Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, Ingemar J. Cox, Lars Kai Hansen, Peter Ingwersen, Ole Winther
FindZebra: A search engine for rare diseases CoRR (2013)
Sofie Therese Hansen, Carsten Stahlhut, Lars Kai Hansen
Sparse Source EEG Imaging with the Variational Garrote. PRNI (2013)
Trine Julie Abrahamsen, Lars Kai Hansen
Variance inflation in high dimensional Support Vector Machines. Pattern Recognit. Lett. 34 (16) (2013)
Michael Riis Andersen, Sofie Therese Hansen, Lars Kai Hansen
Learning the solution sparsity of an ill-posed linear inverse problem with the Variational Garrote. MLSP (2013)
Arkadiusz Stopczynski, Carsten Stahlhut, Jakob Eg Larsen, Michael Kai Petersen, Lars Kai Hansen
The Smartphone Brain Scanner: A Mobile Real-time Neuroimaging System CoRR (2013)
Sofie Therese Hansen, Carsten Stahlhut, Lars Kai Hansen
Expansion of the Variational Garrote to a Multiple Measurement Vectors Model. SCAI (2013)
Kasper Winther Jørgensen, Lars Kai Hansen
Model Selection for Gaussian Kernel PCA Denoising. IEEE Trans. Neural Networks Learn. Syst. 23 (1) (2012)
Morten Mørup, Lars Kai Hansen
Archetypal analysis for machine learning and data mining. Neurocomputing 80 (2012)
Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
Modelling dense relational data. MLSP (2012)
Lars Kai Hansen
Attention: A machine learning perspective. CIP (2012)
Pablo Garcia-Moreno, Antonio Artés-Rodríguez, Lars Kai Hansen
A Hold-out method to correct PCA variance inflation. CIP (2012)
Carsten Stahlhut, Hagai Thomas Attias, Arkadiusz Stopczynski, Michael Kai Petersen, Jakob Eg Larsen, Lars Kai Hansen
An evaluation of EEG scanner's dependence on the imaging technique, forward model computation method, and array dimensionality. EMBC (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lars Kai Hansen