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Lars Schmidt-Thieme

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

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Venues

AAAI ×3ECML-PKDD ×3NeurIPS ×2ECAI ×1ICLR ×1RecSys ×1

Frequent coauthors

Vijaya Krishna Yalavarthi
×6
Maximilian Stubbemann
×5
Shereen Elsayed
×3
Ahmed Rashed
×3
Randolf Scholz
×3
Stefan Born
×3
Johannes Burchert
×3
Ngoc Son Le
×2
Nourhan Ahmed
×2
Christian Klötergens
×2
Kiran Madhusudhanan
×2
Lukas Hestermeyer
×1

Papers

  1. Attribute and Context-Aware Multi-Behavior Model for Unique-Item Recommendation
    ECML-PKDD 2025 ·
    Shereen Elsayed
    ,
    Ngoc Son Le
    ,
    Ahmed Rashed
    , Lars Schmidt-Thieme
  2. Attribute-Aware Sequential Recommendation Model for Used Car Auctions
    ECML-PKDD 2025 ·
    Shereen Elsayed
    ,
    Ngoc Son Le
    ,
    Ahmed Rashed
    ,
    Lukas Hestermeyer
    ,
    Radoslaw Wlodarczyk
    ,
    Maximilian Stubbemann
    , Lars Schmidt-Thieme
  3. Motif-aware Graph Neural Networks for Networked Time Series Imputation
    AAAI 2025 ·
    Nourhan Ahmed
    ,
    Vijaya Krishna Yalavarthi
    , Lars Schmidt-Thieme
  4. 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
  5. 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
  6. Robust Hyperbolic Learning with Curvature-Aware Optimization
    NeurIPS 2025 ·
    Ahmad Bdeir
    ,
    Johannes Burchert
    , Lars Schmidt-Thieme,
    Niels Landwehr
  7. 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
  8. A Cross-Domain Benchmark for Active Learning
    NeurIPS 2024 ·
    Thorben Werner
    ,
    Johannes Burchert
    ,
    Maximilian Stubbemann
    , Lars Schmidt-Thieme
  9. Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
    ECML-PKDD 2024 ·
    Christian Klötergens
    ,
    Vijaya Krishna Yalavarthi
    ,
    Maximilian Stubbemann
    , Lars Schmidt-Thieme
  10. 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
  11. Multi-Behavioral Sequential Recommendation
    RecSys 2024 ·
    Shereen Elsayed
    ,
    Ahmed Rashed
    , Lars Schmidt-Thieme