Theo dõi
Thea Brüsch
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Multi-view self-supervised learning for multivariate variable-channel time series
T Brüsch, MN Schmidt, TS Alstrøm
2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023
102023
On convex decision regions in deep network representations
L Tětková, T Brüsch, T Scheidt, F Mager, R Aagaard, J Foldager, ...
4*2023
LiRA-CD: An open-source dataset for road condition modelling and research
A Skar, AM Vestergaard, T Brüsch, S Pour, E Kindler, TS Alstrøm, ...
Data in Brief 49, 109426, 2023
12023
FreqRISE: Explaining time series using frequency masking
T Brüsch, KK Wickstrøm, MN Schmidt, TS Alstrøm, R Jenssen
Northern Lights Deep Learning Conference 2025, 2025
2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
KK Wickstrøm, T Brüsch, MC Kampffmeyer, R Jenssen
arXiv preprint arXiv:2412.08513, 2024
2024
FLEXtime: Filterbank learning for explaining time series
T Brüsch, KK Wickstrøm, MN Schmidt, R Jenssen, TS Alstrøm
arXiv preprint arXiv:2411.05841, 2024
2024
Contrastive random lead coding for channel-agnostic self-supervision of biosignals
T Brüsch, MN Schmidt, TS Alstrøm
arXiv preprint arXiv:2410.19842, 2024
2024
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