Johannes Burchert

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Comparable Active Learning.

[BibT_eX]

[DOI]

Thorben Werner

CoRR, 2023

Forecasting Irregularly Sampled Time Series using Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

ConvMix: Combining Intermediate Latent Features in Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Mofassir ul Islam Arif

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series.

[BibT_eX]

[DOI]

CoRR, 2022

Tripletformer for Probabilistic Interpolation of Asynchronous Time Series.

[BibT_eX]

[DOI]

CoRR, 2022

U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Few-Shot Forecasting of Time-Series with Heterogeneous Channels.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series.

[BibT_eX]

[DOI]