| 2019 | AAAI | Scalable Privacy-Compliant Virality Prediction on Twitter. | Damian Konrad Kowalczyk, Jan Larsen |
| 2019 | ICASSP | Peak Detection and Baseline Correction Using a Convolutional Neural Network. | Mikkel N. Schmidt, Tommy S. Alstrm, Marcus Svendstorp, Jan Larsen |
| 2018 | IUI | Learning Preferences and Soundscapes for Augmented Hearing. | Maciej Jan Korzepa, Benjamin Johansen, Michael Kai Petersen, Jan Larsen, Jakob Eg Larsen, Niels Henrik Pontoppidan |
| 2017 | ICASSP | A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy. | Tommy S. Alstrm, Mikkel N. Schmidt, Tomas Rindzevicius, Anja Boisen, Jan Larsen |
| 2013 | ICASSP | Towards a universal representation for audio information retrieval and analysis. | Bjrn Sand Jensen, Rasmus Troelsgrd, Jan Larsen, Lars Kai Hansen |
| 2012 | ICASSP | Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors. | Tommy S. Alstrm, Raviv Raich, Natalie V. Kostesha, Jan Larsen |
| 2012 | ICASSP | A predictive model of music preference using pairwise comparisons. | Bjrn Sand Jensen, Javier Saez Gallego, Jan Larsen |
| 2011 | ICASSP | How efficient is estimation with missing data? | Seliz G. Karadogan, Letizia Marchegiani, Lars Kai Hansen, Jan Larsen |
| 2011 | ICMLA | The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years. | Letizia Marchegiani, Seliz G. Karadogan, Tobias Andersen, Jan Larsen, Lars Kai Hansen |
| 2011 | IUI | Augmenting the sound experience at music festivals using mobile phones. | Jakob Eg Larsen, Arkadiusz Stopczynski, Jan Larsen, Claus Vesterskov, Peter Krogsgaard, Thomas Sondrup |
| 2006 | ICASSP | On Data and Parameter Estimation Using the Variational Bayesian EM-Algorithm for Block-Fading Frequency-Selective MIMO Channels. | Lars P. B. Christensen, Jan Larsen |
| 2005 | ICASSP | Improving music genre classification by short time feature integration. | Anders Meng, Peter Ahrendt, Jan Larsen |
| 2005 | ICASSP | On the difference between updating the mixing matrix and updating the separation matrix. | Michael Syskind Pedersen, Ulrik Kjems, Jan Larsen |
| 2004 | ICPR | Pruning The Vocabulary For Better Context Recognition. | Rasmus Elsborg Madsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jan Larsen |
| 2004 | IJCNN | Pruning the vocabulary for better context recognition. | Rasmus Elsborg Madsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jan Larsen |
| 2003 | ICASSP | Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting. | Joaquin Quionero Candela, Agathe Girard, Jan Larsen, Carl Edward Rasmussen |
| 2002 | ICASSP | Outlier estimation and detection application to skin lesion classification. | Sigurdur Sigurdsson, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Hans-Christian Wulf |
| 2001 | ICASSP | Blind detection of independent dynamic components. | Lars Kai Hansen, Jan Larsen, Thomas Kolenda |
| 2000 | ICASSP | Modeling text with generalizable Gaussian mixtures. | Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn rup Nielsen, Ulrik Kjems, Jan Larsen |
| 1999 | ICASSP | Sonar discrimination of cylinders from different angles using neural networks. | Lars Nonboe Andersen, Whitlow W. L. Au, Jan Larsen, Lars Kai Hansen |
| 1998 | ICASSP | Adaptive regularization of neural networks using conjugate gradient. | Cyril Goutte, Jan Larsen |
| 1998 | ICASSP | Design of robust neural network classifiers. | Jan Larsen, Lars Nonboe Andersen, Mads Hintz-Madsen, Lars Kai Hansen |
| 1997 | ICASSP | Early stop criterion from the bootstrap ensemble. | Lars Kai Hansen, Jan Larsen, Torben Fog |
| 1996 | ICASSP | Revisiting Boltzmann learning: parameter estimation in Markov random fields. | Lars Kai Hansen, Lars Nonboe Andersen, Ulrik Kjems, Jan Larsen |