Yalavarthi, Vijaya Krishna

5 publications

AAAI 2025 Motif-Aware Graph Neural Networks for Networked Time Series Imputation Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme

ICLR 2025 Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme

AAAI 2025 Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme

ECML-PKDD 2024 Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme

AAAI 2024 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