PPaperPicks

Jilles Vreeken

CISPA Helmholtz Center for Information Security, Saarbrücken, Germany

18 papers at tracked venues · 14 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-2310-2806 ↗Google Scholar ↗Homepage ↗

Venues

AAAI ×8NeurIPS ×3AISTATS ×2SIGKDD ×2ECML-PKDD ×1ICML ×1SDM ×1

Frequent coauthors

Sascha Xu
DBLP profile ↗ORCID search ↗
×4
Sarah Mameche
DBLP profile ↗ORCID search ↗
×3
Joscha Cüppers
DBLP profile ↗ORCID search ↗
×2
Lénaïg Cornanguer
DBLP profile ↗ORCID search ↗
×1
Aleena Siji
DBLP profile ↗ORCID search ↗
×1
Jiaming Cui
DBLP profile ↗ORCID search ↗
×1
Sebastian Dalleiger
DBLP profile ↗ORCID search ↗
×1
Iiro Kumpulainen
DBLP profile ↗ORCID search ↗
×1
Marco Bjarne Schuster
DBLP profile ↗ORCID search ↗
×1
Nils Philipp Walter
DBLP profile ↗ORCID search ↗
×1
Osman Mian
DBLP profile ↗ORCID search ↗
×1
Boris Wiegand
DBLP profile ↗ORCID search ↗
×1

Papers

  1. Causal Discovery from Interval-Based Event Sequences
    AAAI 2026 ·
    Lénaïg Cornanguer
    DBLP profile ↗ORCID search ↗
  2. SEQRET: Mining Rule Sets from Event Sequences
    AAAI 2026 ·
    Aleena Siji
    DBLP profile ↗ORCID search ↗
  3. Accurately Estimating Unreported Infections using Information Theory
    SDM 2025 ·
    Jiaming Cui
    DBLP profile ↗ORCID search ↗
  4. Causal Mixture Models: Characterization and Discovery
    NeurIPS 2025 ·
    Sarah Mameche
    DBLP profile ↗ORCID search ↗
  5. Federated Binary Matrix Factorization Using Proximal Optimization
    AAAI 2025 ·
    Sebastian Dalleiger
    DBLP profile ↗ORCID search ↗
  6. From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs
    AAAI 2025 ·
    Iiro Kumpulainen
    DBLP profile ↗ORCID search ↗
  7. Information-Theoretic Causal Discovery in Topological Order
    AISTATS 2025 ·
    Sascha Xu
    DBLP profile ↗ORCID search ↗
  8. Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
    NeurIPS 2025 ·
    Sascha Xu
    DBLP profile ↗ORCID search ↗
  9. SPACETIME: Causal Discovery from Non-Stationary Time Series
    AAAI 2025 ·
    Sarah Mameche
    DBLP profile ↗ORCID search ↗
  10. Succinct Interaction-Aware Explanations
    SIGKDD 2025 ·
    Sascha Xu
    DBLP profile ↗ORCID search ↗
  11. Causal Discovery from Event Sequences by Local Cause-Effect Attribution
    NeurIPS 2024 ·
    Joscha Cüppers
    DBLP profile ↗ORCID search ↗
  12. Data is Moody: Discovering Data Modification Rules from Process Event Logs
    ECML-PKDD 2024 ·
    Marco Bjarne Schuster
    DBLP profile ↗ORCID search ↗
  13. Discovering Sequential Patterns with Predictable Inter-event Delays
    AAAI 2024 ·
    Joscha Cüppers
    DBLP profile ↗ORCID search ↗
  14. Finding Interpretable Class-Specific Patterns through Efficient Neural Search
    AAAI 2024 ·
    Nils Philipp Walter
    DBLP profile ↗ORCID search ↗
  15. Identifying Confounding from Causal Mechanism Shifts
    AISTATS 2024 ·
    Sarah Mameche
    DBLP profile ↗ORCID search ↗
  16. Learning Causal Networks from Episodic Data
    SIGKDD 2024 ·
    Osman Mian
    DBLP profile ↗ORCID search ↗
  17. Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence
    ICML 2024 ·
    Sascha Xu
    DBLP profile ↗ORCID search ↗
  18. What Are the Rules? Discovering Constraints from Data
    AAAI 2024 ·
    Boris Wiegand
    DBLP profile ↗ORCID search ↗