Jilles Vreeken

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 114

Top Venues

Utrecht University, Netherlands (PHD)

Education History

Utrecht University, Netherlands

PHD

Publications

Sarah Mameche, Jilles Vreeken, David Kaltenpoth
Identifying Confounding from Causal Mechanism Shifts. AISTATS (2024)
Nils Philipp Walter, Jonas Fischer, Jilles Vreeken
Finding Interpretable Class-Specific Patterns through Efficient Neural Search. AAAI (2024)
Sebastian Dalleiger, Jilles Vreeken, Michael Kamp
Federated Binary Matrix Factorization using Proximal Optimization. CoRR (2024)
Boris Wiegand, Dietrich Klakow, Jilles Vreeken
What Are the Rules? Discovering Constraints from Data. AAAI (2024)
Sascha Xu, Joscha Cüppers, Jilles Vreeken
Succint Interaction-Aware Explanations. CoRR (2024)
Corinna Coupette, Jilles Vreeken, Bastian Rieck
All the world's a (hyper)graph: A data drama. Digit. Scholarsh. Humanit. 39 (1) (2024)
Sascha Xu, Nils Philipp Walter, Janis Kalofolias, Jilles Vreeken
Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence. CoRR (2024)
Joscha Cüppers, Paul Krieger, Jilles Vreeken
Discovering Sequential Patterns with Predictable Inter-event Delays. AAAI (2024)
Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective. CoRR (2024)
Osman Mian, Sarah Mameche, Jilles Vreeken
Learning Causal Networks from Episodic Data. KDD (2024)
Sarah Mameche, David Kaltenpoth, Jilles Vreeken
Learning Causal Models under Independent Changes. NeurIPS (2023)
Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns. CoRR (2023)
Jonas Fischer, Rebekka Burkholz, Jilles Vreeken
Preserving local densities in low-dimensional embeddings. CoRR (2023)
David Kaltenpoth, Jilles Vreeken
Nonlinear Causal Discovery with Latent Confounders. ICML (2023)
Joscha Cüppers, Jilles Vreeken
Below the Surface: Summarizing Event Sequences with Generalized Sequential Patterns. KDD (2023)
Boris Wiegand, Dietrich Klakow, Jilles Vreeken
Why Are We Waiting? Discovering Interpretable Models for Predicting Sojourn and Waiting Times. SDM (2023)
Chen Shani, Jilles Vreeken, Dafna Shahaf
Towards Concept-Aware Large Language Models. CoRR (2023)
Chen Shani, Jilles Vreeken, Dafna Shahaf
Towards Concept-Aware Large Language Models. EMNLP (Findings) (2023)
Michael Kamp, Jonas Fischer, Jilles Vreeken
Federated Learning from Small Datasets. ICLR (2023)
David Kaltenpoth, Jilles Vreeken
Identifying Selection Bias from Observational Data. AAAI (2023)
Sebastian Dalleiger, Jilles Vreeken
Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent. CoRR (2023)
Osman Mian, Michael Kamp, Jilles Vreeken
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. AAAI (2023)
Marco Bjarne Schuster, Boris Wiegand, Jilles Vreeken
Data is Moody: Discovering Data Modification Rules from Process Event Logs. CoRR (2023)
David Kaltenpoth, Jilles Vreeken
Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition. UAI (2023)
Osman Ali Mian, David Kaltenpoth, Michael Kamp, Jilles Vreeken
Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. AISTATS (2023)
Nils Philipp Walter, Jonas Fischer, Jilles Vreeken
Finding Interpretable Class-Specific Patterns through Efficient Neural Search. CoRR (2023)
Sascha Xu, Osman Ali Mian, Alexander Marx, Jilles Vreeken
Inferring Cause and Effect in the Presence of Heteroscedastic Noise. ICML (2022)
Sebastian Dalleiger, Jilles Vreeken
Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent. NeurIPS (2022)
Corinna Coupette, Jilles Vreeken, Bastian Rieck
All the World's a (Hyper)Graph: A Data Drama. CoRR (2022)
Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. ICML (2022)
Sarah Mameche, David Kaltenpoth, Jilles Vreeken
Discovering Invariant and Changing Mechanisms from Data. KDD (2022)
Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken
Differentially Describing Groups of Graphs. CoRR (2022)
Janis Kalofolias, Jilles Vreeken
Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information. AAAI (2022)
Joscha Cüppers, Janis Kalofolias, Jilles Vreeken
Omen: discovering sequential patterns with reliable prediction delays. Knowl. Inf. Syst. 64 (4) (2022)
Sebastian Dalleiger, Jilles Vreeken
Discovering Significant Patterns under Sequential False Discovery Control. KDD (2022)
Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken
Differentially Describing Groups of Graphs. AAAI (2022)
Boris Wiegand, Dietrich Klakow, Jilles Vreeken
Discovering Interpretable Data-to-Sequence Generators. AAAI (2022)
Corinna Coupette, Jilles Vreeken
Graph Similarity Description: How Are These Graphs Similar? KDD (2021)
Edith Heiter, Jonas Fischer, Jilles Vreeken
Factoring out prior knowledge from low-dimensional embeddings. CoRR (2021)
Osman Ali Mian, Alexander Marx, Jilles Vreeken
Discovering Fully Oriented Causal Networks. AAAI (2021)
Jonas Fischer, Anna Oláh, Jilles Vreeken
What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules. ICML (2021)
Jonas Fischer, Jilles Vreeken
Differentiable Pattern Set Mining. KDD (2021)
Alexander Marx, Jilles Vreeken
Formally Justifying MDL-based Inference of Cause and Effect. CoRR (2021)
Janis Kalofolias, Pascal Welke, Jilles Vreeken
SUSAN: The Structural Similarity Random Walk Kernel. SDM (2021)
Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken
Label-Descriptive Patterns and their Application to Characterizing Classification Errors. CoRR (2021)
Boris Wiegand, Dietrich Klakow, Jilles Vreeken
Mining Easily Understandable Models from Complex Event Logs. SDM (2021)
Michael Kamp, Jonas Fischer, Jilles Vreeken
Federated Learning from Small Datasets. CoRR (2021)
Kailash Budhathoki, Mario Boley, Jilles Vreeken
Discovering Reliable Causal Rules. SDM (2021)
Corinna Coupette, Jilles Vreeken
Graph Similarity Description: How Are These Graphs Similar? CoRR (2021)
Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken
Discovering Functional Dependencies from Mixed-Type Data. KDD (2020)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering dependencies with reliable mutual information. Knowl. Inf. Syst. 62 (11) (2020)
Jonas Fischer, Jilles Vreeken
Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity. KDD (2020)
Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes
Towards Plausible Graph Anonymization. NDSS (2020)
Sebastian Dalleiger, Jilles Vreeken
The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery. ICDM (2020)
Frédéric Pennerath, Panagiotis Mandros, Jilles Vreeken
Discovering Approximate Functional Dependencies using Smoothed Mutual Information. KDD (2020)
Caleb Belth, Xinyi Zheng, Jilles Vreeken, Danai Koutra
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization. CoRR (2020)
Joscha Cüppers, Jilles Vreeken
Just Wait For It... Mining Sequential Patterns with Reliable Prediction Delays. ICDM (2020)
Kailash Budhathoki, Mario Boley, Jilles Vreeken
Discovering Reliable Causal Rules. CoRR (2020)
Caleb Belth, Xinyi Zheng, Jilles Vreeken, Danai Koutra
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization. WWW (2020)
Sebastian Dalleiger, Jilles Vreeken
Explainable Data Decompositions. AAAI (2020)
Jilles Vreeken, Kenji Yamanishi
Modern MDL meets Data Mining Insights, Theory, and Practice. KDD (2019)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Correlations in Categorical Data. ICDM (2019)
Michael Mampaey, Jilles Vreeken, Nikolaj Tatti
Summarizing Data Succinctly with the Most Informative Itemsets. CoRR (2019)
Alexander Marx, Jilles Vreeken
Testing Conditional Independence on Discrete Data using Stochastic Complexity. AISTATS (2019)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Correlations in Categorical Data. CoRR (2019)
David Kaltenpoth, Jilles Vreeken
We Are Not Your Real Parents: Telling Causal from Confounded using MDL. SDM (2019)
Alexander Marx, Jilles Vreeken
Testing Conditional Independence on Discrete Data using Stochastic Complexity. CoRR (2019)
Alexander Marx, Jilles Vreeken
Telling cause from effect by local and global regression. Knowl. Inf. Syst. 60 (3) (2019)
Nikolaj Tatti, Jilles Vreeken
Discovering Descriptive Tile Trees by Mining Optimal Geometric Subtiles. CoRR (2019)
Nikolaj Tatti, Jilles Vreeken
Comparing Apples and Oranges: Measuring Differences between Data Mining Results. CoRR (2019)
David Kaltenpoth, Jilles Vreeken
We Are Not Your Real Parents: Telling Causal from Confounded using MDL. CoRR (2019)
Jonas Fischer, Jilles Vreeken
Sets of Robust Rules, and How to Find Them. ECML/PKDD (1) (2019)
Janis Kalofolias, Mario Boley, Jilles Vreeken
Discovering Robustly Connected Subgraphs with Simple Descriptions. ICDM (2019)
Nikolaj Tatti, Jilles Vreeken
The Long and the Short of It: Summarising Event Sequences with Serial Episodes. CoRR (2019)
Matthijs van Leeuwen, Polo Chau, Jilles Vreeken, Dafna Shahaf, Christos Faloutsos
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1). ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. IJCAI (2019)
Nikolaj Tatti, Jilles Vreeken
Finding Good Itemsets by Packing Data. CoRR (2019)
Alexander Marx, Jilles Vreeken
Identifiability of Cause and Effect using Regularized Regression. KDD (2019)
Kailash Budhathoki, Jilles Vreeken
Accurate Causal Inference on Discrete Data. ICDM (2018)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. ICDM (2018)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. CoRR (2018)
Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
Generating Realistic Synthetic Population Datasets. ACM Trans. Knowl. Discov. Data 12 (4) (2018)
Alexander Marx, Jilles Vreeken
Causal Inference on Multivariate and Mixed-Type Data. ECML/PKDD (2) (2018)
Kailash Budhathoki, Jilles Vreeken
Causal Inference on Event Sequences. SDM (2018)
Kailash Budhathoki, Jilles Vreeken
Origo: causal inference by compression. Knowl. Inf. Syst. 56 (2) (2018)
Danai Koutra, Jilles Vreeken, Francesco Bonchi
Summarizing Graphs at Multiple Scales: New Trends. ICDM (2018)
Andrea Hornáková, Markus List, Jilles Vreeken, Marcel H. Schulz
JAMI: fast computation of conditional mutual information for ceRNA network analysis. Bioinform. 34 (17) (2018)
Alexander Marx, Jilles Vreeken
Causal Discovery by Telling Apart Parents and Children. CoRR (2018)
Andrea K. Fischer, Jilles Vreeken, Dietrich Klakow
Beyond Pairwise Similarity: Quantifying and Characterizing Linguistic Similarity between Groups of Languages by MDL. Computación y Sistemas 21 (4) (2017)
Robert Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
FACETS: Adaptive Local Exploration of Large Graphs. SDM (2017)
Alexander Marx, Jilles Vreeken
Causal Inference on Multivariate Mixed-Type Data by Minimum Description Length. CoRR (2017)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Approximate Functional Dependencies. CoRR (2017)
Kailash Budhathoki, Jilles Vreeken
Causal Inference by Stochastic Complexity. CoRR (2017)
Janis Kalofolias, Mario Boley, Jilles Vreeken
Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups. ICDM (2017)
Janis Kalofolias, Mario Boley, Jilles Vreeken
Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups. CoRR (2017)
Alexander Marx, Jilles Vreeken
Telling Cause from Effect Using MDL-Based Local and Global Regression. ICDM (2017)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Approximate Functional Dependencies. KDD (2017)
Kailash Budhathoki, Jilles Vreeken
Correlation by Compression. SDM (2017)
Apratim Bhattacharyya, Jilles Vreeken
Efficiently Summarising Event Sequences with Rich Interleaving Patterns. CoRR (2017)
Mario Boley, Bryan R. Goldsmith, Luca M. Ghiringhelli, Jilles Vreeken
Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery. Data Min. Knowl. Discov. 31 (5) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jilles Vreeken