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Dekobild im Seitenkopf ISMLL
 
Personen: Vijaya Krishna Yalavarthi
Sprechstunde:
C207 Spl, n.V.
Telefon, Fax, E-Mail:
Phone: 05121 / 883-40384
Fax: 05121 / 883-40361
e-mail:

Postanschrift:
Wirtschaftsinformatik und Maschinelles Lernen
Universitätsplatz 1
Universität Hildesheim
31141 Hildesheim

Besuchsadresse:
Wirtschaftsinformatik und Maschinelles Lernen
Samelsonplatz 1
Universität Hildesheim
31141 Hildesheim

Publikationen:

  • Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme (2024):
    Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting, in arXiv:2405.03582. PDF
  • 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. PDF
  • 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). PDF
  • 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). PDF
  • 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). PDF
  • 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). PDF
  • 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). PDF