Thomas Gärtner

92 papers A* 20A 3B 5Misc 2Journal 26Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
Is BatchEnsemble a Single Model? On Calibration and Diversity of Efficient Ensembles.
CoRR
Anton Zamyatin, Patrick Indri, Sagar Malhotra, Thomas Gärtner
2025 J jnl
Maximally Expressive GNNs for Outerplanar Graphs.
Trans. Mach. Learn. Res.
Franka Bause, Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Morten Kriege, Thomas Gärtner, Pascal Welke, Maximilian Thiessen
2025 J jnl
On Finding All Connected Maximum-Sized Common Subgraphs in Multiple Labeled Graphs.
CoRR
Johannes B. S. Petersen, Akbar Davoodi, Thomas Gärtner, Marc Hellmuth, Daniel Merkle
2025 J jnl
Prime Implicant Explanations for Reaction Feasibility Prediction.
CoRR
Klaus Weinbauer, Tieu-Long Phan, Peter F. Stadler, Thomas Gärtner, Sagar Malhotra
2025 A* conf
Probably Approximately Global Robustness Certification.
ICML
Peter Blohm, Patrick Indri, Thomas Gärtner, Sagar Malhotra
2025 J jnl
Probably Approximately Global Robustness Certification.
CoRR
Peter Blohm, Patrick Indri, Thomas Gärtner, Sagar Malhotra
2025 A* conf
WILTing Trees: Interpreting the Distance Between MPNN Embeddings.
ICML
Masahiro Negishi, Thomas Gärtner, Pascal Welke
2025 J jnl
WILTing Trees: Interpreting the Distance Between MPNN Embeddings.
CoRR
Masahiro Negishi, Thomas Gärtner, Pascal Welke
2024 A* conf
Logical Distillation of Graph Neural Networks.
KR
Alexander Pluska, Pascal Welke, Thomas Gärtner, Sagar Malhotra
2024 J jnl
Logical Distillation of Graph Neural Networks.
CoRR
Alexander Pluska, Pascal Welke, Thomas Gärtner, Sagar Malhotra
2024 J jnl
Reaction rebalancing: a novel approach to curating reaction databases.
J. Cheminformatics
Tieu-Long Phan, Klaus Weinbauer, Thomas Gärtner, Daniel Merkle, Jakob L. Andersen, Rolf Fagerberg, Peter F. Stadler
2024 — conf
Scalable Interactive Data Visualization.
ECML/PKDD (8)
Florian Chen, Thomas Gärtner
2024 A* conf
The Expressive Power of Path-Based Graph Neural Networks.
ICML
Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Gärtner
2024 J jnl
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs.
CoRR
Fabrizio Frasca, Fabian Jogl, Moshe Eliasof, Matan Ostrovsky, Carola-Bibiane Schönlieb, Thomas Gärtner, Haggai Maron
2023 A* conf
Expectation-Complete Graph Representations with Homomorphisms.
ICML
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
2023 J jnl
Expectation-Complete Graph Representations with Homomorphisms.
CoRR
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
2023 A* conf
Expressivity-Preserving GNN Simulation.
NeurIPS
Fabian Jogl, Maximilian Thiessen, Thomas Gärtner
2023 J jnl
Improving Expert Specialization in Mixture of Experts.
CoRR
Yamuna Krishnamurthy, Chris Watkins, Thomas Gärtner
2022 J jnl
Kernel Methods for Predicting Yields of Chemical Reactions.
J. Chem. Inf. Model.
Alexe L. Haywood, Joseph Redshaw, Magnus W. D. Hanson-Heine, Adam Taylor, Alex Brown, Andrew M. Mason, Thomas Gärtner, Jonathan D. Hirst
2022 — conf
Online Learning of Convex Sets on Graphs.
ECML/PKDD (4)
Maximilian Thiessen, Thomas Gärtner
2021 A* conf
Active Learning of Convex Halfspaces on Graphs.
NeurIPS
Maximilian Thiessen, Thomas Gärtner
2020 — conf
Interactive Machine Learning with Structured Data.
LWDA
Thomas Gärtner
2019 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I
ECML/PKDD (1)
Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim
2019 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II
ECML/PKDD (2)
Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim
2019 A* conf
Scalable Learning in Reproducing Kernel Krein Spaces.
ICML
Dino Oglic, Thomas Gärtner
2018 J jnl
Corresponding Projections for Orphan Screening.
CoRR
Sven Giesselbach, Katrin Ullrich, Michael Kamp, Daniel Paurat, Thomas Gärtner
2018 J jnl
Effective Parallelisation for Machine Learning.
CoRR
Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner
2018 J jnl
Large Scale Learning with Kreĭn Kernels.
CoRR
Dino Oglic, Thomas Gärtner
2018 A* conf
Learning in Reproducing Kernel Krein Spaces.
ICML
Dino Oglic, Thomas Gärtner
2017 A* conf
Active Search in Intensionally Specified Structured Spaces.
AAAI
Dino Oglic, Roman Garnett, Thomas Gärtner
2017 — conf
Co-Regularised Support Vector Regression.
ECML/PKDD (2)
Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel
2017 — conf
Effective Parallelisation for Machine Learning.
NIPS
Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner
2017 — ch.
Graph Kernels.
Encyclopedia of Machine Learning and Data Mining
Thomas Gärtner, Tamás Horváth, Stefan Wrobel
2017 A* conf
Nyström Method with Kernel K-means++ Samples as Landmarks.
ICML
Dino Oglic, Thomas Gärtner
2016 — conf
Greedy Feature Construction.
NIPS
Dino Oglic, Thomas Gärtner
2016 J jnl
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning.
Data Min. Knowl. Discov.
Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet
2016 J jnl
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning.
Mach. Learn.
Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet
2016 — conf
Ligand-Based Virtual Screening with Co-regularised Support Vector Regression.
ICDM Workshops
Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel
2015 J jnl
Introducing the 'active search' method for iterative virtual screening.
J. Comput. Aided Mol. Des.
Roman Garnett, Thomas Gärtner, Martin Vogt, Jürgen Bajorath
2014 A conf
Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features.
SDM
Michael Kamp, Mario Boley, Thomas Gärtner
2014 — conf
Interactive Knowledge-Based Kernel PCA.
ECML/PKDD (2)
Dino Oglic, Daniel Paurat, Thomas Gärtner
2014 — conf
Predicting unexpected influxes of players in EVE online.
CIG
Roman Garnett, Thomas Gärtner, Timothy Ellersiek, Eyjolfur Gudmondsson, Petur Oskarsson
2013 — conf
Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features.
ICDM Workshops
Michael Kamp, Mario Boley, Thomas Gärtner
2013 — conf
InVis: A Tool for Interactive Visual Data Analysis.
ECML/PKDD (3)
Daniel Paurat, Thomas Gärtner
2012 — conf
Dynamic difficulty for checkers and Chinese chess.
CIG
Laurentiu Ilici, Jiaojian Wang, Olana Missura, Thomas Gärtner
2012 A* conf
Linear space direct pattern sampling using coupling from the past.
KDD
Mario Boley, Sandy Moens, Thomas Gärtner
2012 J jnl
Probabilistic Structured Predictors
CoRR
Shankar Vembu, Thomas Gärtner, Mario Boley
2011 A* conf
A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving Submatrix.
ICDM
Jens Humrich, Thomas Gärtner, Gemma C. Garriga
2011 — conf
Direct Pattern Sampling with Respect to Pattern Frequency.
LWA
Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner
2011 A* conf
Direct local pattern sampling by efficient two-step random procedures.
KDD
Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner
2011 — conf
Predicting Dynamic Difficulty.
NIPS
Olana Missura, Thomas Gärtner
2010 — conf
Counting-based Output Prediction for Orphan Screening.
LWA
Katrin Ullrich, Christoph Stahr, Thomas Gärtner
2010 A conf
Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining.
SDM
Mario Boley, Thomas Gärtner, Henrik Grosskreutz
2010 — ch.
Graph Kernels.
Encyclopedia of Machine Learning
Thomas Gärtner, Tamás Horváth, Stefan Wrobel
2010 — ch.
Label Ranking Algorithms: A Survey.
Preference Learning
Shankar Vembu, Thomas Gärtner
2010 Misc conf
On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms.
KI
Sebastian Bothe, Thomas Gärtner, Stefan Wrobel
2009 — conf
Classification on Graphs for Dynamic Difficulty Adjustment: More Questions Than Answers.
MLG/SRL@ILP
Olana Missura, Thomas Gärtner
2009 Misc conf
Context-Based Clustering of Image Search Results.
KI
Hongqi Wang, Olana Missura, Thomas Gärtner, Stefan Wrobel
2009 J jnl
Guest editors' introduction: special issue on mining and learning with graphs.
Mach. Learn.
Thomas Gärtner, Gemma C. Garriga
2009 J jnl
Ligand Prediction from Protein Sequence and Small Molecule Information Using Support Vector Machines and Fingerprint Descriptors.
J. Chem. Inf. Model.
Hanna Geppert, Jens Humrich, Dagmar Stumpfe, Thomas Gärtner, Jürgen Bajorath
2009 — conf
MAP Structured Prediction by Sampling.
MLG/SRL@ILP
Shankar Vembu, Thomas Gärtner, Mario Boley
2009 — conf
On Structured Output Training: Hard Cases and an Efficient Alternative.
ECML/PKDD (1)
Thomas Gärtner, Shankar Vembu
2009 J jnl
On structured output training: hard cases and an efficient alternative.
Mach. Learn.
Thomas Gärtner, Shankar Vembu
2009 B conf
On the Complexity of Constraint-Based Theory Extraction.
Discovery Science
Mario Boley, Thomas Gärtner
2009 B conf
Player Modeling for Intelligent Difficulty Adjustment.
Discovery Science
Olana Missura, Thomas Gärtner
2009 — conf
Player Modeling for Intelligent Difficulty Adjustment.
LWA
Olana Missura, Thomas Gärtner
2009 A conf
Probabilistic Structured Predictors.
UAI
Shankar Vembu, Thomas Gärtner, Mario Boley
2008 — book
Kernels for Structured Data
Thomas Gärtner
2008 B conf
Regularization path for Ranking SVM.
ESANN
Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu
2008 J jnl
Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds.
J. Chem. Inf. Model.
Hanna Geppert, Tamás Horváth, Thomas Gärtner, Stefan Wrobel, Jürgen Bajorath
2008 — conf
Towards Engaging Games.
LWA
Olana Missura, Kristian Kersting, Thomas Gärtner
2007 — conf
Efficient Kernel Methods for Graphs.
MLG
Thomas Gärtner
2007 — conf
Semidefinite Ranking on Graphs.
MLG
Shankar Vembu, Thomas Gärtner, Stefan Wrobel
2007 — conf
The Cost of Learning Directed Cuts.
ECML
Thomas Gärtner, Gemma C. Garriga
2007 — conf
The Cost of Learning Directed Cuts.
MLG
Thomas Gärtner, Gemma C. Garriga
2006 A* conf
Efficient co-regularised least squares regression.
ICML
Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel
2006 J jnl
Graph kernels and Gaussian processes for relational reinforcement learning.
Mach. Learn.
Kurt Driessens, Jan Ramon, Thomas Gärtner
2006 A* conf
Simpler knowledge-based support vector machines.
ICML
Quoc V. Le, Alexander J. Smola, Thomas Gärtner
2006 — conf
Transductive Gaussian Process Regression with Automatic Model Selection.
ECML
Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun
2005 — conf
Kernels for Predictive Graph Mining.
GfKl
Stefan Wrobel, Thomas Gärtner, Tamás Horváth
2005 — —
Kernels for structured data.
Thomas Gärtner
2005 — ch.
Kernfunktionen für Strukturierte Daten.
Ausgezeichnete Informatikdissertationen
Thomas Gärtner
2005 — conf
Large-Scale Multiclass Transduction.
NIPS
Thomas Gärtner, Quoc V. Le, Simon Burton, Alexander J. Smola, S. V. N. Vishwanathan
2004 A* conf
Cyclic pattern kernels for predictive graph mining.
KDD
Tamás Horváth, Thomas Gärtner, Stefan Wrobel
2004 — conf
Fisher Kernels for Logical Sequences.
ECML
Kristian Kersting, Thomas Gärtner
2004 J jnl
Kernels and Distances for Structured Data.
Mach. Learn.
Thomas Gärtner, John W. Lloyd, Peter A. Flach
2003 J jnl
A survey of kernels for structured data.
SIGKDD Explor.
Thomas Gärtner
2003 B conf
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning.
ILP
Thomas Gärtner, Kurt Driessens, Jan Ramon
2003 A* conf
On Graph Kernels: Hardness Results and Efficient Alternatives.
COLT
Thomas Gärtner, Peter A. Flach, Stefan Wrobel
2002 B conf
Kernels for Structured Data.
ILP
Thomas Gärtner, John W. Lloyd, Peter A. Flach
2002 A* conf
Multi-Instance Kernels.
ICML
Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alexander J. Smola
2001 A* conf
WBCsvm: Weighted Bayesian Classification based on Support Vector Machines.
ICML
Thomas Gärtner, Peter A. Flach