Johannes Burchert

16 papers A* 2B 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
LAtte: Hyperbolic Lorentz Attention for Cross-Subject EEG Classification.
CoRR
Johannes Burchert, Ahmad Bdeir, Tom Hanika, Lars Schmidt-Thieme, Niels Landwehr
2024 A* conf
A Cross-Domain Benchmark for Active Learning.
NeurIPS
Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-Thieme
2024 J jnl
A Cross-Domain Benchmark for Active Learning.
CoRR
Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-Thieme
2024 J jnl
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training.
CoRR
Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme
2024 A* conf
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series.
AAAI
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
2023 — conf
ConvMix: Combining Intermediate Latent Features in Deep Convolutional Neural Networks.
SCIA (2)
Mofassir ul Islam Arif, Johannes Burchert, Lars Schmidt-Thieme
2023 J jnl
Forecasting Irregularly Sampled Time Series using Graphs.
CoRR
Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
2023 B conf
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series.
IEEE Big Data
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
2022 B conf
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series.
DSAA
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
2022 J jnl
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series.
CoRR
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
2022 — conf
Few-Shot Forecasting of Time-Series with Heterogeneous Channels.
ECML/PKDD (6)
Lukas Brinkmeyer, Rafael Rêgo Drumond, Johannes Burchert, Lars Schmidt-Thieme
2022 J jnl
Few-Shot Forecasting of Time-Series with Heterogeneous Channels.
CoRR
Lukas Brinkmeyer, Rafael Rêgo Drumond, Johannes Burchert, Lars Schmidt-Thieme
2022 J jnl
Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series.
CoRR
Nghia Duong-Trung, Stefan Born, Kiran Madhusudhanan, Randolf Scholz, Johannes Burchert, Danh Le Phuoc, Lars Schmidt-Thieme
2022 J jnl
Tripletformer for Probabilistic Interpolation of Asynchronous Time Series.
CoRR
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
2022 — conf
U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.
ECML/PKDD (6)
Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme
2021 J jnl
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.
CoRR
Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme