Tobias Glasmachers

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 66

Top Venues

Ruhr University Bochum (PHD)

Education History

Ruhr University Bochum

PHD

Publications

Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data. Comput. Biol. Medicine 168 (2024)
Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. CoRR (2023)
Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes. CoRR (2023)
Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. LOD (1) (2023)
Simon Hakenes, Tobias Glasmachers
Leveraging Topological Maps in Deep Reinforcement Learning for Multi-Object Navigation. CoRR (2023)
Nico Zengeler, Tobias Glasmachers, Uwe Handmann
Transfer Meta Learning. ICPR (2022)
Tobias Glasmachers
Recipe for Fast Large-scale SVM Training: Polishing, Parallelism, and more RAM! CoRR (2022)
Giuseppe Cuccu, Luca Rolshoven, Fabien Vorpe, Philippe Cudré-Mauroux, Tobias Glasmachers
DiBB: distributing black-box optimization. GECCO (2022)
Tim Schwabe, Tobias Glasmachers, Maribel Acosta
AFRNN: Stable RNN with Top Down Feedback and Antisymmetry. ACML (2022)
Tobias Glasmachers, Oswin Krause
Convergence Analysis of the Hessian Estimation Evolution Strategy. Evol. Comput. 30 (1) (2022)
Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces. CoRR (2022)
Tobias Glasmachers
Recipe for Fast Large-Scale SVM Training: Polishing, Parallelism, and More RAM! BNAIC/BENELEARN (2022)
Tobias Glasmachers
The (1+1)-ES Reliably Overcomes Saddle Points. PPSN (2) (2022)
Felix Grün, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis
Invariance to Quantile Selection in Distributional Continuous Control. CoRR (2022)
Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions. SIAM J. Optim. 32 (2) (2022)
Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott
Latent Representation Prediction Networks. Int. J. Pattern Recognit. Artif. Intell. 36 (1) (2022)
Marie Dominique Schmidt, Tobias Glasmachers, Ioannis Iossifidis
From Motion to Muscle. CoRR (2022)
Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis
Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification. CoRR (2021)
Nils Müller, Tobias Glasmachers
Non-local optimization: imposing structure on optimization problems by relaxation. FOGA (2021)
Tobias Glasmachers
The (1+1)-ES Reliably Overcomes Saddle Points. CoRR (2021)
Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
Data Augmentation and Clustering for Vehicle Make/Model Classification. CoRR (2020)
Tobias Glasmachers, Oswin Krause
The Hessian Estimation Evolution Strategy. PPSN (1) (2020)
Nils Müller, Tobias Glasmachers
Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation. CoRR (2020)
Declan Oller, Tobias Glasmachers, Giuseppe Cuccu
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. AAMAS (2020)
Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott
Latent Representation Prediction Networks. CoRR (2020)
Tobias Glasmachers
Global Convergence of the (1 + 1) Evolution Strategy to a Critical Point. Evol. Comput. 28 (1) (2020)
Tobias Glasmachers, Oswin Krause
The Hessian Estimation Evolution Strategy. CoRR (2020)
Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions. CoRR (2020)
Tobias Glasmachers, Oswin Krause
Convergence Analysis of the Hessian Estimation Evolution Strategy. CoRR (2020)
Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
Data Augmentation and Clustering for Vehicle Make/Model Classification. SAI (1) (2020)
Declan Oller, Tobias Glasmachers, Giuseppe Cuccu
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. CoRR (2020)
Omair Ali, Muhammad Saif-ur-Rehman, Susanne Dyck, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation. CoRR (2020)
Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
Methods of the Vehicle Re-identification. IntelliSys (1) (2020)
Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
Methods of the Vehicle Re-identification. CoRR (2020)
Sahar Qaadan, Abhijeet Pendyala, Merlin Schüler, Tobias Glasmachers
Online Budgeted Stochastic Coordinate Ascent for Large-Scale Kernelized Dual Support Vector Machine Training. ICPRAM (Revised Selected Papers) (2019)
Simon Hakenes, Tobias Glasmachers
Boosting Reinforcement Learning with Unsupervised Feature Extraction. ICANN (1) (2019)
Tobias Glasmachers
Challenges of convex quadratic bi-objective benchmark problems. GECCO (2019)
Sahar Qaadan, Merlin Schüler, Tobias Glasmachers
Dual SVM Training on a Budget. ICPRAM (2019)
Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
Vehicle Shape and Color Classification Using Convolutional Neural Network. CoRR (2019)
Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer
Large Scale Black-Box Optimization by Limited-Memory Matrix Adaptation. IEEE Trans. Evol. Comput. 23 (2) (2019)
Haneen Altartouri, Tobias Glasmachers
Moment Vector Encoding of Protein Sequences for Supervised Classification. PACBB (2019)
Nils Müller, Tobias Glasmachers
Challenges in High-Dimensional Reinforcement Learning with Evolution Strategies. PPSN (2) (2018)
Sahar Qaadan, Tobias Glasmachers
Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training. CoRR (2018)
Sahar Qaadan, Merlin Schüler, Tobias Glasmachers
Dual SVM Training on a Budget. CoRR (2018)
Daniel Horn, Aydin Demircioglu, Bernd Bischl, Tobias Glasmachers, Claus Weihs
A comparative study on large scale kernelized support vector machines. Adv. Data Anal. Classif. 12 (4) (2018)
Tobias Glasmachers, Sahar Qaadan
Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search. CoRR (2018)
Tobias Glasmachers, Sahar Qaadan
Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search. LOD (2018)
Nils Müller, Tobias Glasmachers
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies. CoRR (2018)
Hasham Shahid Qureshi, Tobias Glasmachers, Rebecca Wiczorek
User-Centered Development of a Pedestrian Assistance System Using End-to-End Learning. ICMLA (2018)
Youhei Akimoto, Anne Auger, Tobias Glasmachers
Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule. CoRR (2018)
Tobias Glasmachers
Challenges of Convex Quadratic Bi-objective Benchmark Problems. CoRR (2018)
Youhei Akimoto, Anne Auger, Tobias Glasmachers
Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule. GECCO (2018)
Tobias Glasmachers
A Fast Incremental BSP Tree Archive for Non-dominated Points. EMO (2017)
Tobias Glasmachers
Limits of End-to-End Learning. CoRR (2017)
Tobias Glasmachers
Global Convergence of the (1+1) Evolution Strategy. CoRR (2017)
Tobias Glasmachers
Limits of End-to-End Learning. ACML (2017)
Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization. CoRR (2017)
Thomas Irmer, Tobias Glasmachers, Subhransu Maji
Texture Attribute Synthesis and Transfer Using Feed-Forward CNNs. WACV (2017)
Oswin Krause, Tobias Glasmachers, Christian Igel
Qualitative and Quantitative Assessment of Step Size Adaptation Rules. FOGA (2017)
Ilya Loshchilov, Tobias Glasmachers
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). CoRR (2016)
Ilya Loshchilov, Tobias Glasmachers
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). GECCO (Companion) (2016)
Ürün Dogan, Tobias Glasmachers, Christian Igel
A Unified View on Multi-class Support Vector Classification. J. Mach. Learn. Res. 17 (2016)
Aydin Demircioglu, Daniel Horn, Tobias Glasmachers, Bernd Bischl, Claus Weihs
Fast model selection by limiting SVM training times. CoRR (2016)
Tobias Glasmachers
A Fast Incremental Archive for Multi-objective Optimization. CoRR (2016)
Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel
Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. GECCO (Companion) (2016)
Oswin Krause, Tobias Glasmachers
A CMA-ES with Multiplicative Covariance Matrix Updates. GECCO (2015)
Luigi Malagò, Tobias Glasmachers
Information geometry in evolutionary computation. GECCO (Companion) (2014)
Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jan Peters, Jürgen Schmidhuber
Natural evolution strategies. J. Mach. Learn. Res. 15 (1) (2014)
Tobias Glasmachers, Ürün Dogan
Coordinate Descent with Online Adaptation of Coordinate Frequencies. CoRR (2014)
Tobias Glasmachers
Optimized Approximation Sets for Low-Dimensional Benchmark Pareto Fronts. PPSN (2014)
Tobias Glasmachers
Handling sharp ridges with local supremum transformations. GECCO (2014)
Tobias Glasmachers, Boris Naujoks, Günter Rudolph
Start Small, Grow Big? Saving Multi-objective Function Evaluations. PPSN (2014)
Tobias Glasmachers
A natural evolution strategy with asynchronous strategy updates. GECCO (2013)
Tobias Glasmachers, Ürün Dogan
Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies CoRR (2013)
Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel
Approximation properties of DBNs with binary hidden units and real-valued visible units. ICML (1) (2013)
Somayeh Danafar, Paola M. V. Rancoita, Tobias Glasmachers, Kevin Whittingstall, Jürgen Schmidhuber
Testing Hypotheses by Regularized Maximum Mean Discrepancy CoRR (2013)
Tobias Glasmachers, Ürün Dogan
Accelerated Coordinate Descent with Adaptive Coordinate Frequencies. ACML (2013)
Tobias Glasmachers
The Planning-ahead SMO Algorithm. CoRR (2013)
Tobias Glasmachers, Jan Koutník, Jürgen Schmidhuber
Kernel representations for evolving continuous functions. Evol. Intell. 5 (3) (2012)
Ürün Dogan, Tobias Glasmachers, Christian Igel
A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes. ECML/PKDD (1) (2012)
Tobias Glasmachers
Convergence of the IGO-Flow of Isotropic Gaussian Distributions on Convex Quadratic Problems. PPSN (1) (2012)
Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jürgen Schmidhuber
Natural Evolution Strategies CoRR (2011)
Tobias Glasmachers, Jürgen Schmidhuber
Optimal Direct Policy Search. AGI (2011)
Tom Schaul, Leo Pape, Tobias Glasmachers, Vincent Graziano, Jürgen Schmidhuber
Coherence Progress: A Measure of Interestingness Based on Fixed Compressors. AGI (2011)
Tom Schaul, Tobias Glasmachers, Jürgen Schmidhuber
High dimensions and heavy tails for natural evolution strategies. GECCO (2011)
Giuseppe Cuccu, Faustino J. Gomez, Tobias Glasmachers
Novelty-based restarts for evolution strategies. IEEE Congress on Evolutionary Computation (2011)
Tobias Glasmachers, Tom Schaul, Jürgen Schmidhuber
A Natural Evolution Strategy for Multi-objective Optimization. PPSN (1) (2010)
Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jürgen Schmidhuber
Exponential natural evolution strategies. GECCO (2010)
Tobias Glasmachers, Christian Igel
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters. IEEE Trans. Pattern Anal. Mach. Intell. 32 (8) (2010)
Tobias Glasmachers
Universal Consistency of Multi-Class Support Vector Classification. NIPS (2010)
Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers
Shark. J. Mach. Learn. Res. 9 (2008)
Tobias Glasmachers
On related violating pairs for working set selection in SMO algorithms. ESANN (2008)
Tobias Glasmachers, Christian Igel
Uncertainty Handling in Model Selection for Support Vector Machines. PPSN (2008)
Tobias Glasmachers, Christian Igel
Second-Order SMO Improves SVM Online and Active Learning. Neural Comput. 20 (2) (2008)
Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel
Evolutionary Optimization of Sequence Kernels for Detection of bacterial gene Starts. Int. J. Neural Syst. 17 (5) (2007)
Christian Igel, Tobias Glasmachers, Britta Mersch, Nico Pfeifer, Peter Meinicke
Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (2) (2007)
Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel
Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. ICANN (2) (2006)
Tobias Glasmachers
Degeneracy in model selection for SVMs with radial Gaussian kernel. ESANN (2006)
Tobias Glasmachers, Christian Igel
Maximum-Gain Working Set Selection for SVMs. J. Mach. Learn. Res. 7 (2006)
Tobias Glasmachers, Christian Igel
Gradient-Based Adaptation of General Gaussian Kernels. Neural Comput. 17 (10) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tobias Glasmachers