PPaperPicks

Vijaya Krishna Yalavarthi

6 papers at tracked venues · 4 at CORE A* · active 2024–2025

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Venues

AAAI ×3ECAI ×1ECML-PKDD ×1ICLR ×1

Frequent coauthors

Lars Schmidt-Thieme
×6
Randolf Scholz
×3
Maximilian Stubbemann
×3
Stefan Born
×3
Nourhan Ahmed
×2
Christian Klötergens
×2
Kiran Madhusudhanan
×2
Jonas Sonntag
×1
Johannes Burchert
×1
Shayan Jawed
×1

Papers

  1. Motif-aware Graph Neural Networks for Networked Time Series Imputation
    AAAI 2025 ·
    Nourhan Ahmed
    , Vijaya Krishna Yalavarthi,
    Lars Schmidt-Thieme
  2. Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs
    ICLR 2025 ·
    Christian Klötergens
    , Vijaya Krishna Yalavarthi,
    Randolf Scholz
    ,
    Maximilian Stubbemann
    ,
    Stefan Born
    ,
    Lars Schmidt-Thieme
  3. Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
    AAAI 2025 · Vijaya Krishna Yalavarthi,
    Randolf Scholz
    ,
    Stefan Born
    ,
    Lars Schmidt-Thieme
  4. TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
    ECAI 2025 ·
    Kiran Madhusudhanan
    , Vijaya Krishna Yalavarthi,
    Jonas Sonntag
    ,
    Maximilian Stubbemann
    ,
    Lars Schmidt-Thieme
  5. Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
    ECML-PKDD 2024 ·
    Christian Klötergens
    , Vijaya Krishna Yalavarthi,
    Maximilian Stubbemann
    ,
    Lars Schmidt-Thieme
  6. GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
    AAAI 2024 · Vijaya Krishna Yalavarthi,
    Kiran Madhusudhanan
    ,
    Randolf Scholz
    ,
    Nourhan Ahmed
    ,
    Johannes Burchert
    ,
    Shayan Jawed
    ,
    Stefan Born
    ,
    Lars Schmidt-Thieme