Thomas Gärtner

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 22

Top Venues

University of Bonn, Germany (PHD)

Education History

University of Bonn, Germany

PHD

Publications

Alexander Pluska, Pascal Welke, Thomas Gärtner, Sagar Malhotra
Logical Distillation of Graph Neural Networks. CoRR (2024)
Fabian Jogl, Maximilian Thiessen, Thomas Gärtner
Expressivity-Preserving GNN Simulation. NeurIPS (2023)
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
Expectation-Complete Graph Representations with Homomorphisms. CoRR (2023)
Yamuna Krishnamurthy, Chris Watkins, Thomas Gärtner
Improving Expert Specialization in Mixture of Experts. CoRR (2023)
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
Expectation-Complete Graph Representations with Homomorphisms. ICML (2023)
Maximilian Thiessen, Thomas Gärtner
Online Learning of Convex Sets on Graphs. ECML/PKDD (4) (2022)
Alexe L. Haywood, Joseph Redshaw, Magnus W. D. Hanson-Heine, Adam Taylor, Alex Brown, Andrew M. Mason, Thomas Gärtner, Jonathan D. Hirst
Kernel Methods for Predicting Yields of Chemical Reactions. J. Chem. Inf. Model. 62 (9) (2022)
Maximilian Thiessen, Thomas Gärtner
Active Learning of Convex Halfspaces on Graphs. NeurIPS (2021)
Thomas Gärtner
Interactive Machine Learning with Structured Data. LWDA (2020)
Dino Oglic, Thomas Gärtner
Scalable Learning in Reproducing Kernel Krein Spaces. ICML (2019)
Dino Oglic, Thomas Gärtner
Learning in Reproducing Kernel Krein Spaces. ICML (2018)
Sven Giesselbach, Katrin Ullrich, Michael Kamp, Daniel Paurat, Thomas Gärtner
Corresponding Projections for Orphan Screening. CoRR (2018)
Dino Oglic, Thomas Gärtner
Large Scale Learning with Kreĭn Kernels. CoRR (2018)
Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner
Effective Parallelisation for Machine Learning. CoRR (2018)
Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel
Co-Regularised Support Vector Regression. ECML/PKDD (2) (2017)
Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner
Effective Parallelisation for Machine Learning. NIPS (2017)
Dino Oglic, Roman Garnett, Thomas Gärtner
Active Search in Intensionally Specified Structured Spaces. AAAI (2017)
Dino Oglic, Thomas Gärtner
Nyström Method with Kernel K-means++ Samples as Landmarks. ICML (2017)
Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel
Ligand-Based Virtual Screening with Co-regularised Support Vector Regression. ICDM Workshops (2016)
Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. Data Min. Knowl. Discov. 30 (5) (2016)
Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. Mach. Learn. 104 (2-3) (2016)
Dino Oglic, Thomas Gärtner
Greedy Feature Construction. NIPS (2016)
Roman Garnett, Thomas Gärtner, Martin Vogt, Jürgen Bajorath
Introducing the 'active search' method for iterative virtual screening. J. Comput. Aided Mol. Des. 29 (4) (2015)
Michael Kamp, Mario Boley, Thomas Gärtner
Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features. SDM (2014)
Dino Oglic, Daniel Paurat, Thomas Gärtner
Interactive Knowledge-Based Kernel PCA. ECML/PKDD (2) (2014)
Roman Garnett, Thomas Gärtner, Timothy Ellersiek, Eyjolfur Gudmondsson, Petur Oskarsson
Predicting unexpected influxes of players in EVE online. CIG (2014)
Michael Kamp, Mario Boley, Thomas Gärtner
Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features. ICDM Workshops (2013)
Daniel Paurat, Thomas Gärtner
InVis: A Tool for Interactive Visual Data Analysis. ECML/PKDD (3) (2013)
Mario Boley, Sandy Moens, Thomas Gärtner
Linear space direct pattern sampling using coupling from the past. KDD (2012)
Laurentiu Ilici, Jiaojian Wang, Olana Missura, Thomas Gärtner
Dynamic difficulty for checkers and Chinese chess. CIG (2012)
Shankar Vembu, Thomas Gärtner, Mario Boley
Probabilistic Structured Predictors CoRR (2012)
Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner
Direct local pattern sampling by efficient two-step random procedures. KDD (2011)
Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner
Direct Pattern Sampling with Respect to Pattern Frequency. LWA (2011)
Olana Missura, Thomas Gärtner
Predicting Dynamic Difficulty. NIPS (2011)
Jens Humrich, Thomas Gärtner, Gemma C. Garriga
A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving Submatrix. ICDM (2011)
Mario Boley, Thomas Gärtner, Henrik Grosskreutz
Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining. SDM (2010)
Katrin Ullrich, Christoph Stahr, Thomas Gärtner
Counting-based Output Prediction for Orphan Screening. LWA (2010)
Sebastian Bothe, Thomas Gärtner, Stefan Wrobel
On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. KI (2010)
Thomas Gärtner, Shankar Vembu
On structured output training: hard cases and an efficient alternative. Mach. Learn. 76 (2-3) (2009)
Thomas Gärtner, Gemma C. Garriga
Guest editors' introduction: special issue on mining and learning with graphs. Mach. Learn. 75 (1) (2009)
Mario Boley, Thomas Gärtner
On the Complexity of Constraint-Based Theory Extraction. Discovery Science (2009)
Olana Missura, Thomas Gärtner
Player Modeling for Intelligent Difficulty Adjustment. LWA (2009)
Shankar Vembu, Thomas Gärtner, Mario Boley
Probabilistic Structured Predictors. UAI (2009)
Hongqi Wang, Olana Missura, Thomas Gärtner, Stefan Wrobel
Context-Based Clustering of Image Search Results. KI (2009)
Thomas Gärtner, Shankar Vembu
On Structured Output Training: Hard Cases and an Efficient Alternative. ECML/PKDD (1) (2009)
Olana Missura, Thomas Gärtner
Player Modeling for Intelligent Difficulty Adjustment. Discovery Science (2009)
Hanna Geppert, Jens Humrich, Dagmar Stumpfe, Thomas Gärtner, Jürgen Bajorath
Ligand Prediction from Protein Sequence and Small Molecule Information Using Support Vector Machines and Fingerprint Descriptors. J. Chem. Inf. Model. 49 (4) (2009)
Hanna Geppert, Tamás Horváth, Thomas Gärtner, Stefan Wrobel, Jürgen Bajorath
Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds. J. Chem. Inf. Model. 48 (4) (2008)
Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu
Regularization path for Ranking SVM. ESANN (2008)
Olana Missura, Kristian Kersting, Thomas Gärtner
Towards Engaging Games. LWA (2008)
Thomas Gärtner
Efficient Kernel Methods for Graphs. MLG (2007)
Thomas Gärtner, Gemma C. Garriga
The Cost of Learning Directed Cuts. MLG (2007)
Shankar Vembu, Thomas Gärtner, Stefan Wrobel
Semidefinite Ranking on Graphs. MLG (2007)
Thomas Gärtner, Gemma C. Garriga
The Cost of Learning Directed Cuts. ECML (2007)
Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun
Transductive Gaussian Process Regression with Automatic Model Selection. ECML (2006)
Kurt Driessens, Jan Ramon, Thomas Gärtner
Graph kernels and Gaussian processes for relational reinforcement learning. Mach. Learn. 64 (1-3) (2006)
Quoc V. Le, Alexander J. Smola, Thomas Gärtner
Simpler knowledge-based support vector machines. ICML (2006)
Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel
Efficient co-regularised least squares regression. ICML (2006)
Thomas Gärtner, Quoc V. Le, Simon Burton, Alexander J. Smola, S. V. N. Vishwanathan
Large-Scale Multiclass Transduction. NIPS (2005)
Thomas Gärtner
Kernfunktionen für Strukturierte Daten. Ausgezeichnete Informatikdissertationen (2005)
Stefan Wrobel, Thomas Gärtner, Tamás Horváth
Kernels for Predictive Graph Mining. GfKl (2005)
Kristian Kersting, Thomas Gärtner
Fisher Kernels for Logical Sequences. ECML (2004)
Thomas Gärtner, John W. Lloyd, Peter A. Flach
Kernels and Distances for Structured Data. Mach. Learn. 57 (3) (2004)
Tamás Horváth, Thomas Gärtner, Stefan Wrobel
Cyclic pattern kernels for predictive graph mining. KDD (2004)
Thomas Gärtner, Peter A. Flach, Stefan Wrobel
On Graph Kernels: Hardness Results and Efficient Alternatives. COLT (2003)
Thomas Gärtner, Kurt Driessens, Jan Ramon
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. ILP (2003)
Thomas Gärtner
A survey of kernels for structured data. SIGKDD Explor. 5 (1) (2003)
Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alexander J. Smola
Multi-Instance Kernels. ICML (2002)
Thomas Gärtner, John W. Lloyd, Peter A. Flach
Kernels for Structured Data. ILP (2002)
Thomas Gärtner, Peter A. Flach
WBCsvm: Weighted Bayesian Classification based on Support Vector Machines. ICML (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thomas Gärtner