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Johannes Burchert
Johannes Burchert
University of Hildesheim
Verified email at ismll.de
Title
Cited by
Cited by
Year
Yformer: U-net inspired transformer architecture for far horizon time series forecasting
K Madhusudhanan, J Burchert, N Duong-Trung, S Born, ...
arXiv preprint arXiv:2110.08255, 2021
182021
U-net inspired transformer architecture for far horizon time series forecasting
K Madhusudhanan, J Burchert, N Duong-Trung, S Born, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
82022
DCSF: deep convolutional set functions for classification of asynchronous time series
VK Yalavarthi, J Burchert, L Schmidt-Thieme
2022 IEEE 9th International Conference on Data Science and Advanced …, 2022
52022
Few-shot forecasting of time-series with heterogeneous channels
L Brinkmeyer, RR Drumond, J Burchert, L Schmidt-Thieme
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
52022
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series
VK Yalavarthi, J Burchert, L Schmidt-Thieme
2023 IEEE International Conference on Big Data (BigData), 986-995, 2023
12023
Forecasting Irregularly Sampled Time Series using Graphs
VK Yalavarthi, K Madusudanan, R Sholz, N Ahmed, J Burchert, S Javed, ...
arXiv preprint arXiv:2305.12932, 2023
12023
Put attention to temporal saliency patterns of multi-horizon time series
N Duong-Trung, S Born, K Madhusudhanan, R Scholz, J Burchert, ...
arXiv preprint arXiv:2212.07771, 2022
12022
Tripletformer for Probabilistic Interpolation of Asynchronous Time Series
VK Yalavarthi, J Burchert, L Schmidt-Thieme
arXiv preprint arXiv:2210.02091, 2022
12022
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
J Burchert, T Werner, VK Yalavarthi, DC de Portugal, M Stubbemann, ...
arXiv preprint arXiv:2404.06966, 2024
2024
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
VK Yalavarthi, K Madhusudhanan, R Scholz, N Ahmed, J Burchert, ...
2024
Towards Comparable Active Learning
T Werner, J Burchert, L Schmidt-Thieme
arXiv preprint arXiv:2311.18356, 2023
2023
Forecasting Irregularly Sampled Time Series using Graphs
V Krishna Yalavarthi, K Madusudanan, R Sholz, N Ahmed, J Burchert, ...
arXiv e-prints, arXiv: 2305.12932, 2023
2023
ConvMix: Combining Intermediate Latent Features in Deep Convolutional Neural Networks
MI Arif, J Burchert, L Schmidt-Thieme
Scandinavian Conference on Image Analysis, 156-174, 2023
2023
Tripletformer for Probabilistic Interpolation of Asynchronous Time Series
V Krishna Yalavarthi, J Burchert, L Schmidt-thieme
arXiv e-prints, arXiv: 2210.02091, 2022
2022
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series
V Krishna Yalavarthi, J Burchert, L Schmidt-Thieme
arXiv e-prints, arXiv: 2208.11374, 2022
2022
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