Lars Schmidt-Thieme

Venues

Frequent coauthors

Papers

1. Attribute and Context-Aware Multi-Behavior Model for Unique-Item Recommendation
   ECML-PKDD 2025 ·

   Shereen Elsayed

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2. Attribute-Aware Sequential Recommendation Model for Used Car Auctions
   ECML-PKDD 2025 ·

   Shereen Elsayed

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

   Nourhan Ahmed

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

   Christian Klötergens

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5. Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
   AAAI 2025 ·

   Vijaya Krishna Yalavarthi

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6. Robust Hyperbolic Learning with Curvature-Aware Optimization
   NeurIPS 2025 ·

   Ahmad Bdeir

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7. TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
   ECAI 2025 ·

   Kiran Madhusudhanan

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8. A Cross-Domain Benchmark for Active Learning
   NeurIPS 2024 ·

   Thorben Werner

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

   Christian Klötergens

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10. GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
    AAAI 2024 ·

    Vijaya Krishna Yalavarthi

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11. Multi-Behavioral Sequential Recommendation
    RecSys 2024 ·

    Shereen Elsayed

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