Vijaya Krishna Yalavarthi

Venues

Frequent coauthors

Papers

1. Motif-aware Graph Neural Networks for Networked Time Series Imputation
   AAAI 2025 ·

   Nourhan Ahmed

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2. Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs
   ICLR 2025 ·

   Christian Klötergens

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3. Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
   AAAI 2025 · Vijaya Krishna Yalavarthi
4. TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
   ECAI 2025 ·

   Kiran Madhusudhanan

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5. Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
   ECML-PKDD 2024 ·

   Christian Klötergens

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6. GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
   AAAI 2024 · Vijaya Krishna Yalavarthi