Phone, Fax, Email:

Phone:	05121 / 883-40384
Fax:	05121 / 883-40361
e-mail:

Publications:

• Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme (2024):
  Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting, in ECML PKDD 2024.
• Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme (2024):
  Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training, in arXiv:2404.06966. .
• Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme (2024):
  GraFITi: Graphs for Forecasting Irregularly Sampled Time SeriesTripletformer for Probabilistic Interpolation of Irregularly sampled Time Series, in Proceedings of the AAAI conference on artificial intelligence (AAAI, oral).
• Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme (2023):
  Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series, in IEEE International Conference on Big Data (BigData).
• Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme (2023):
  Forecasting Early with Meta Learning, in Proceedings of the 2023 IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2023).
• Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme (2022):
  DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series, in IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).
• Tolga Akar, Thorben Werner, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme (2022):
  Open Set Recognition for Time Series Classification, in Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference.
• Vijaya Krishna Yalavarthi, Josif Grabocka, Hareesh Mandalapu, Lars Schmidt-Thieme (2019):
  Gait verification using deep learning with a pairwise loss, in 18th International Conference of the Biometrics Special Interest Group (BIOSIG 2019).