Research
P1 Publications
Proceedings of Machine Learning Research, 176
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning
Sebastian Weichwald, Søren W. Mogensen, Tabitha E. Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Journal of the American Statistical Association
Toward Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia
Rune Christiansen, Matthias Baumann, Tobias Kuemmerle, Miguel D. Mahecha, Jonas Peters
Proceedings of Machine Learning Research, 180
Identifiability of Sparse Causal Effects using Instrumental Variables
Niklas Pfister, Jonas Peters
IEEE
A causal framework for distribution generalization
Rune Christiansen, Niklas Pfister, Martin E. Jakobsen, Nicola Gnecco, Jonas Peters
The Econometrics Journal
Distributional robustness of K-class estimators and the PULSE
Martin E. Jakobsen, Jonas Peters
Proceedings of Machine Learning Research, 162
Exploiting Independent Instruments: Identification and Distribution Generalization
Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister, Jonas Peters
Proceedings of Machine Learning Research, 162
Invariant Ancestry Search
Phillip B. Mogensen, Nikolaj Thams, Jonas Peters
Journal of Machine Learning Research 23(159)
Structure Learning for Directed Trees
Martin E. Jakobsen, Rajen D. Shah, Peter Bühlmann, Jonas Peters
IEEE/ACM Transactions on Audio, Speech, and Language Processing (Volume 30)
Multichannel Speech Enhancement With Own Voice-Based Interfering Speech Suppression for Hearing Assistive Devices
P. Hoang, J. M. de Haan, Z. -H. Tan, J. Jensen
Frontiers in Plant Science
The Herbarium 2021 Half–Earth Challenge Dataset and Machine Learning Competition
R. de Lutio, J. Y. Park, K. A. Watson, S. D'Aronco, J. D. Wegner, J. J. Wieringa, M. Tulig, R. L. Pyle, T. J. Gallaher, G. Brown, G. Guymer, A. Franks, D. Ranatunga, Y. Baba, S. J. Belongie, F. A. Michelangeli, B. A. Ambrose, D. P. Little
IEEE Access (Volume 10)
iVAE-GAN: Identifiable VAE-GAN Models for Latent Representation Learning
B. U. Dideriksen, K. Derosche, Z. -H. Tan
2021 IEEE International Conference on Big Data (Big Data)
Weakly-Supervised Cloud Detection with Fixed-Point GANs
J. Nyborg, I. Assent
Association for Computational Linguistics
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs
M. Hartmann, M. de Lhoneux, D. Hershcovich, Y. Kementchedjhieva, L. Nielsen, C. Qiu, A. Søgaard
Association for Computational Linguistics
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
M. Abdou, A. Kulmizev, D. Hershcovich, S. Frank, E. Pavlick, A. Søgaard
Association for Computational Linguistics
On Language Models for Creoles
H. Lent, E. Bugliarello, M. de Lhoneux, C. Qiu, A. Søgaard
Association for Computational Linguistics
How Universal is Genre in Universal Dependencies?
M. Müller-Eberstein, R. van der Goot, B. Plank
Iproceedings
Explainability of Convolutional Neural Networks for Dermatological Diagnosis
R. Jalaboi, M. O. Arteaga, D. R. Jørgensen, I. Manole, O. I. Bozdog, A. Chiriac, O. Winther, A. Galimzianova
Journal of Magnetic Resonance Imaging
Cross-Cohort Automatic Knee MRI Segmentation With Multi-Plana U-Nets
M. Perslev, A. Pai, J. Runhaar, C. Igel, E. B. Dam
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fine-Grained Image Analysis with Deep Learning: A Survey
X. -S. Wei, Y. -Z. Song, O. M. Aodha, J. Wu, Y. Peng, J. Tang, J. Yang, S. Belongie
Journal of Artificial Intelligence Research
Learning from Disagreement: A Survey
A. N. Uma, T. Fornaciari, D. Hovy, S. Paun, B. Plank, M. Poesio
IEEE Access (Volume 10)
Deep Spoken Keyword Spotting: An Overview
I. López-Espejo, Z. -H. Tan, J. H. L. Hansen, J. Jensen