Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting. - Kiran Madhusudhanan; Johannes Burchert; Nghia Duong-Trung; Stefan Born; Lars Schmidt-Thieme (CoRR, 2021)

DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series. - Vijaya Krishna Yalavarthi; Johannes Burchert; Lars Schmidt-Thieme (DSAA, 2022)

Few-Shot Forecasting of Time-Series with Heterogeneous Channels. - Lukas Brinkmeyer; Rafael Rêgo Drumond; Johannes Burchert; Lars Schmidt-Thieme (ECML/PKDD (6), 2022)

U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting. - Kiran Madhusudhanan; Johannes Burchert; Nghia Duong-Trung; Stefan Born; Lars Schmidt-Thieme (ECML/PKDD (6), 2022)

Tripletformer for Probabilistic Interpolation of Asynchronous Time Series. - Vijaya Krishna Yalavarthi; Johannes Burchert; Lars Schmidt-Thieme (CoRR, 2022)

Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series. - Nghia Duong-Trung; Stefan Born; Kiran Madhusudhanan; Randolf Scholz; Johannes Burchert; Danh Le Phuoc; Lars Schmidt-Thieme (CoRR, 2022)

Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series. - Vijaya Krishna Yalavarthi; Johannes Burchert; Lars Schmidt-Thieme (IEEE Big Data, 2023)

ConvMix: Combining Intermediate Latent Features in Deep Convolutional Neural Networks. - Mofassir ul Islam Arif; Johannes Burchert; Lars Schmidt-Thieme (SCIA (2), 2023)

Forecasting Irregularly Sampled Time Series using Graphs. - Vijaya Krishna Yalavarthi; Kiran Madusudanan; Randolf Scholz; Nourhan Ahmed; Johannes Burchert; Shayan Jawed; Stefan Born; Lars Schmidt-Thieme (CoRR, 2023)

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. - Vijaya Krishna Yalavarthi; Kiran Madhusudhanan; Randolf Scholz; Nourhan Ahmed; Johannes Burchert; Shayan Jawed; Stefan Born; Lars Schmidt-Thieme (AAAI, 2024)

A Cross-Domain Benchmark for Active Learning. - Thorben Werner; Johannes Burchert; Maximilian Stubbemann; Lars Schmidt-Thieme (NeurIPS, 2024)

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training. - Johannes Burchert; Thorben Werner; Vijaya Krishna Yalavarthi; Diego Coello de Portugal; Maximilian Stubbemann; Lars Schmidt-Thieme (CoRR, 2024)