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Stefan Lüdtke

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

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Venues

ICLR ×2AAAI ×1ECAI ×1IJCAI ×1NeurIPS ×1UbiComp/ISWC ×1

Frequent coauthors

Christian Bartelt
×6
Sascha Marton
×5
Heiner Stuckenschmidt
×5
Tim Grams
×2
Andrej Tschalzev
×2
Patrick Betz
×1
Florian Vogt
×1
Moh'd Khier Al Kfari
×1
Paul Nitschke
×1
Lukas Kirchdorfer
×1

Papers

  1. Disentangling Exploration of Large Language Models by Optimal Exploitation
    ECAI 2025 ·
    Tim Grams
    ,
    Patrick Betz
    ,
    Sascha Marton
    , Stefan Lüdtke,
    Christian Bartelt
  2. Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
    ICLR 2025 ·
    Sascha Marton
    ,
    Tim Grams
    ,
    Florian Vogt
    , Stefan Lüdtke,
    Christian Bartelt
    ,
    Heiner Stuckenschmidt
  3. A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
    NeurIPS 2024 ·
    Andrej Tschalzev
    ,
    Sascha Marton
    , Stefan Lüdtke,
    Christian Bartelt
    ,
    Heiner Stuckenschmidt
  4. Domain Adaptation in Human Activity Recognition through Self-Training
    UbiComp/ISWC 2024 ·
    Moh'd Khier Al Kfari
    , Stefan Lüdtke
  5. Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
    IJCAI 2024 ·
    Andrej Tschalzev
    ,
    Paul Nitschke
    ,
    Lukas Kirchdorfer
    , Stefan Lüdtke,
    Christian Bartelt
    ,
    Heiner Stuckenschmidt
  6. GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
    ICLR 2024 ·
    Sascha Marton
    , Stefan Lüdtke,
    Christian Bartelt
    ,
    Heiner Stuckenschmidt
  7. GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
    AAAI 2024 ·
    Sascha Marton
    , Stefan Lüdtke,
    Christian Bartelt
    ,
    Heiner Stuckenschmidt