Tobias Glasmachers

127 papers A 18B 5C 7Misc 1Journal 70Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolutionary Warm-Starts for Reinforcement Learning in Industrial Continuous Control. CoRR Tom Maus, Stephan Frank, Tobias Glasmachers
2025	J	`jnl`	A Superlinearly Convergent Evolution Strategy. CoRR Tobias Glasmachers
2025	A	`conf`	Additive Drift as an Optimization Problem for the (1 + 1)-ES. FOGA Alexander Jungeilges, Tobias Glasmachers
2025	A	`conf`	Additive drift is all you need - if you are an evolution strategy. FOGA Tobias Glasmachers
2025	J	`jnl`	Balancing Specialization and Centralization: A Multi-Agent Reinforcement Learning Benchmark for Sequential Industrial Control. CoRR Tom Maus, Asma Atamna, Tobias Glasmachers
2025	J	`jnl`	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact. CoRR Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie
2025	—	`conf`	Benchmarking the (1+1) Limited Memory Matrix Adaptation Evolution Strategy on the bbob-largescale Testbed. GECCO Companion Tobias Glasmachers
2025	J	`jnl`	Cumulative Learning Rate Adaptation: Revisiting Path-Based Schedules for SGD and Adam. CoRR Asma Atamna, Tom Maus, Fabian Kievelitz, Tobias Glasmachers
2025	—	`conf`	Curriculum RL Meets Monte Carlo Planning: Optimization of a Real World Container Management Problem. ECML/PKDD (10) Abhijeet Pendyala, Tobias Glasmachers
2025	J	`jnl`	Curriculum RL meets Monte Carlo Planning: Optimization of a Real World Container Management Problem. CoRR Abhijeet Pendyala, Tobias Glasmachers
2025	J	`jnl`	Deep Reinforcement Learning Based Navigation with Macro Actions and Topological Maps. CoRR Simon Hakenes, Tobias Glasmachers
2025	B	`conf`	Exploring Parameter Influence on Empirical Drift Behavior for Variable-Metric Evolution Strategies. CEC Stephan Frank, Tobias Glasmachers
2025	J	`jnl`	Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments. CoRR Tom Maus, Asma Atamna, Tobias Glasmachers
2025	J	`jnl`	SortingEnv: An Extendable RL-Environment for an Industrial Sorting Process. CoRR Tom Maus, Nico Zengeler, Tobias Glasmachers
2025	A	`conf`	Variable Metric Evolution Strategies for High-dimensional Multi-Objective Optimization. GECCO Tobias Glasmachers
2024	—	`conf`	A Potential Function for a Variable-Metric Evolution Strategy. PPSN (2) Stephan Frank, Tobias Glasmachers
2024	J	`jnl`	ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data. Comput. Biol. Medicine Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
2024	J	`jnl`	Deep-learning-based identification of individual motion characteristics from upper-limb trajectories towards disorder stage evaluation. CoRR Tim Sziburis, Susanne Blex, Tobias Glasmachers, Ioannis Iossifidis
2024	J	`jnl`	ProtoP-OD: Explainable Object Detection with Prototypical Parts. CoRR Pavlos Rath-Manakidis, Frederik Strothmann, Tobias Glasmachers, Laurenz Wiskott
2024	—	`conf`	Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering. ECML/PKDD (10) Abhijeet Pendyala, Asma Atamna, Tobias Glasmachers
2024	J	`jnl`	Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering. CoRR Abhijeet Pendyala, Asma Atamna, Tobias Glasmachers
2024	J	`jnl`	Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 24271). Dagstuhl Reports Anne Auger, Tobias Glasmachers, Martin S. Krejca, Johannes Lengler, Alexander Jungeilges
2024	J	`jnl`	Understanding activation patterns in artificial neural networks by exploring stochastic processes: Discriminating generalization from memorization. Neurocomputing Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis
2024	J	`jnl`	Variable Metric Evolution Strategies for High-dimensional Multi-Objective Optimization. CoRR Tobias Glasmachers
2024	J	`jnl`	Volume Determination Challenges in Waste Sorting Facilities: Observations and Strategies. Sensors Tom Maus, Nico Zengeler, Dorothee Sänger, Tobias Glasmachers
2024	C	`conf`	Weighted Initialisation of Evolutionary Instrument and Pitch Detection in Polyphonic Music. EvoMUSART Justin Dettmer, Igor Vatolkin, Tobias Glasmachers
2024	J	`jnl`	tachAId - An interactive tool supporting the design of human-centered AI solutions. Frontiers Artif. Intell. Max Bauroth, Pavlos Rath-Manakidis, Valentin Langholf, Laurenz Wiskott, Tobias Glasmachers
2023	—	`conf`	ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. LOD (1) Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna
2023	J	`jnl`	ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. CoRR Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna
2023	J	`jnl`	Leveraging Topological Maps in Deep Reinforcement Learning for Multi-Object Navigation. CoRR Simon Hakenes, Tobias Glasmachers
2023	J	`jnl`	Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes. CoRR Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis
2022	C	`conf`	AFRNN: Stable RNN with Top Down Feedback and Antisymmetry. ACML Tim Schwabe, Tobias Glasmachers, Maribel Acosta
2022	J	`jnl`	ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces. CoRR Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
2022	J	`jnl`	Convergence Analysis of the Hessian Estimation Evolution Strategy. Evol. Comput. Tobias Glasmachers, Oswin Krause
2022	A	`conf`	DiBB: distributing black-box optimization. GECCO Giuseppe Cuccu, Luca Rolshoven, Fabien Vorpe, Philippe Cudré-Mauroux, Tobias Glasmachers
2022	J	`jnl`	From Motion to Muscle. CoRR Marie Dominique Schmidt, Tobias Glasmachers, Ioannis Iossifidis
2022	J	`jnl`	Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions. SIAM J. Optim. Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
2022	J	`jnl`	Invariance to Quantile Selection in Distributional Continuous Control. CoRR Felix Grün, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis
2022	J	`jnl`	Latent Representation Prediction Networks. Int. J. Pattern Recognit. Artif. Intell. Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott
2022	—	`conf`	Recipe for Fast Large-Scale SVM Training: Polishing, Parallelism, and More RAM! BNAIC/BENELEARN Tobias Glasmachers
2022	J	`jnl`	Recipe for Fast Large-scale SVM Training: Polishing, Parallelism, and more RAM! CoRR Tobias Glasmachers
2022	—	`conf`	The (1+1)-ES Reliably Overcomes Saddle Points. PPSN (2) Tobias Glasmachers
2022	B	`conf`	Transfer Meta Learning. ICPR Nico Zengeler, Tobias Glasmachers, Uwe Handmann
2021	J	`jnl`	Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification. CoRR Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis
2021	A	`conf`	Non-local optimization: imposing structure on optimization problems by relaxation. FOGA Nils Müller, Tobias Glasmachers
2021	J	`jnl`	The (1+1)-ES Reliably Overcomes Saddle Points. CoRR Tobias Glasmachers
2020	A	`conf`	Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. AAMAS Declan Oller, Tobias Glasmachers, Giuseppe Cuccu
2020	J	`jnl`	Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. CoRR Declan Oller, Tobias Glasmachers, Giuseppe Cuccu
2020	J	`jnl`	Convergence Analysis of the Hessian Estimation Evolution Strategy. CoRR Tobias Glasmachers, Oswin Krause
2020	—	`conf`	Data Augmentation and Clustering for Vehicle Make/Model Classification. SAI (1) Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
2020	J	`jnl`	Data Augmentation and Clustering for Vehicle Make/Model Classification. CoRR Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
2020	J	`jnl`	Global Convergence of the (1 + 1) Evolution Strategy to a Critical Point. Evol. Comput. Tobias Glasmachers
2020	J	`jnl`	Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions. CoRR Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
2020	J	`jnl`	Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation. CoRR Omair Ali, Muhammad Saif-ur-Rehman, Susanne Dyck, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
2020	J	`jnl`	Latent Representation Prediction Networks. CoRR Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott
2020	—	`conf`	Methods of the Vehicle Re-identification. IntelliSys (1) Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
2020	J	`jnl`	Methods of the Vehicle Re-identification. CoRR Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
2020	J	`jnl`	Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation. CoRR Nils Müller, Tobias Glasmachers
2020	—	`conf`	The Hessian Estimation Evolution Strategy. PPSN (1) Tobias Glasmachers, Oswin Krause
2020	J	`jnl`	The Hessian Estimation Evolution Strategy. CoRR Tobias Glasmachers, Oswin Krause
2019	—	`conf`	Boosting Reinforcement Learning with Unsupervised Feature Extraction. ICANN (1) Simon Hakenes, Tobias Glasmachers
2019	A	`conf`	Challenges of convex quadratic bi-objective benchmark problems. GECCO Tobias Glasmachers
2019	C	`conf`	Dual SVM Training on a Budget. ICPRAM Sahar Qaadan, Merlin Schüler, Tobias Glasmachers
2019	J	`jnl`	Large Scale Black-Box Optimization by Limited-Memory Matrix Adaptation. IEEE Trans. Evol. Comput. Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer
2019	Misc	`conf`	Moment Vector Encoding of Protein Sequences for Supervised Classification. PACBB Haneen Altartouri, Tobias Glasmachers
2019	—	`conf`	Online Budgeted Stochastic Coordinate Ascent for Large-Scale Kernelized Dual Support Vector Machine Training. ICPRAM (Revised Selected Papers) Sahar Qaadan, Abhijeet Pendyala, Merlin Schüler, Tobias Glasmachers
2019	J	`jnl`	Vehicle Shape and Color Classification Using Convolutional Neural Network. CoRR Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
2018	J	`jnl`	A comparative study on large scale kernelized support vector machines. Adv. Data Anal. Classif. Daniel Horn, Aydin Demircioglu, Bernd Bischl, Tobias Glasmachers, Claus Weihs
2018	—	`conf`	Challenges in High-Dimensional Reinforcement Learning with Evolution Strategies. PPSN (2) Nils Müller, Tobias Glasmachers
2018	J	`jnl`	Challenges in High-dimensional Reinforcement Learning with Evolution Strategies. CoRR Nils Müller, Tobias Glasmachers
2018	J	`jnl`	Challenges of Convex Quadratic Bi-objective Benchmark Problems. CoRR Tobias Glasmachers
2018	J	`jnl`	Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule. CoRR Youhei Akimoto, Anne Auger, Tobias Glasmachers
2018	A	`conf`	Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule. GECCO Youhei Akimoto, Anne Auger, Tobias Glasmachers
2018	J	`jnl`	Dual SVM Training on a Budget. CoRR Sahar Qaadan, Merlin Schüler, Tobias Glasmachers
2018	J	`jnl`	Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training. CoRR Sahar Qaadan, Tobias Glasmachers
2018	—	`conf`	Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search. LOD Tobias Glasmachers, Sahar Qaadan
2018	J	`jnl`	Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search. CoRR Tobias Glasmachers, Sahar Qaadan
2018	C	`conf`	User-Centered Development of a Pedestrian Assistance System Using End-to-End Learning. ICMLA Hasham Shahid Qureshi, Tobias Glasmachers, Rebecca Wiczorek
2017	C	`conf`	A Fast Incremental BSP Tree Archive for Non-dominated Points. EMO Tobias Glasmachers
2017	J	`jnl`	Global Convergence of the (1+1) Evolution Strategy. CoRR Tobias Glasmachers
2017	J	`jnl`	Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization. CoRR Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer
2017	C	`conf`	Limits of End-to-End Learning. ACML Tobias Glasmachers
2017	J	`jnl`	Limits of End-to-End Learning. CoRR Tobias Glasmachers
2017	A	`conf`	Qualitative and Quantitative Assessment of Step Size Adaptation Rules. FOGA Oswin Krause, Tobias Glasmachers, Christian Igel
2017	A	`conf`	Texture Attribute Synthesis and Transfer Using Feed-Forward CNNs. WACV Thomas Irmer, Tobias Glasmachers, Subhransu Maji
2016	J	`jnl`	A Fast Incremental Archive for Multi-objective Optimization. CoRR Tobias Glasmachers
2016	J	`jnl`	A Unified View on Multi-class Support Vector Classification. J. Mach. Learn. Res. Ürün Dogan, Tobias Glasmachers, Christian Igel
2016	—	`conf`	Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). GECCO (Companion) Ilya Loshchilov, Tobias Glasmachers
2016	J	`jnl`	Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). CoRR Ilya Loshchilov, Tobias Glasmachers
2016	J	`jnl`	Fast model selection by limiting SVM training times. CoRR Aydin Demircioglu, Daniel Horn, Tobias Glasmachers, Bernd Bischl, Claus Weihs
2016	—	`conf`	Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. GECCO (Companion) Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel
2015	A	`conf`	A CMA-ES with Multiplicative Covariance Matrix Updates. GECCO Oswin Krause, Tobias Glasmachers
2014	J	`jnl`	Coordinate Descent with Online Adaptation of Coordinate Frequencies. CoRR Tobias Glasmachers, Ürün Dogan
2014	A	`conf`	Handling sharp ridges with local supremum transformations. GECCO Tobias Glasmachers
2014	—	`conf`	Information geometry in evolutionary computation. GECCO (Companion) Luigi Malagò, Tobias Glasmachers
2014	J	`jnl`	Natural evolution strategies. J. Mach. Learn. Res. Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jan Peters, Jürgen Schmidhuber
2014	A	`conf`	Optimized Approximation Sets for Low-Dimensional Benchmark Pareto Fronts. PPSN Tobias Glasmachers
2014	A	`conf`	Start Small, Grow Big? Saving Multi-objective Function Evaluations. PPSN Tobias Glasmachers, Boris Naujoks, Günter Rudolph
2013	A	`conf`	A natural evolution strategy with asynchronous strategy updates. GECCO Tobias Glasmachers
2013	C	`conf`	Accelerated Coordinate Descent with Adaptive Coordinate Frequencies. ACML Tobias Glasmachers, Ürün Dogan
2013	J	`jnl`	Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies CoRR Tobias Glasmachers, Ürün Dogan
2013	—	`conf`	Approximation properties of DBNs with binary hidden units and real-valued visible units. ICML (1) Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel
2013	J	`jnl`	Testing Hypotheses by Regularized Maximum Mean Discrepancy CoRR Somayeh Danafar, Paola M. V. Rancoita, Tobias Glasmachers, Kevin Whittingstall, Jürgen Schmidhuber
2013	J	`jnl`	The Planning-ahead SMO Algorithm. CoRR Tobias Glasmachers
2012	—	`conf`	A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes. ECML/PKDD (1) Ürün Dogan, Tobias Glasmachers, Christian Igel
2012	—	`conf`	Convergence of the IGO-Flow of Isotropic Gaussian Distributions on Convex Quadratic Problems. PPSN (1) Tobias Glasmachers
2012	J	`jnl`	Kernel representations for evolving continuous functions. Evol. Intell. Tobias Glasmachers, Jan Koutník, Jürgen Schmidhuber
2011	—	`conf`	Coherence Progress: A Measure of Interestingness Based on Fixed Compressors. AGI Tom Schaul, Leo Pape, Tobias Glasmachers, Vincent Graziano, Jürgen Schmidhuber
2011	A	`conf`	High dimensions and heavy tails for natural evolution strategies. GECCO Tom Schaul, Tobias Glasmachers, Jürgen Schmidhuber
2011	J	`jnl`	Natural Evolution Strategies CoRR Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jürgen Schmidhuber
2011	B	`conf`	Novelty-based restarts for evolution strategies. IEEE Congress on Evolutionary Computation Giuseppe Cuccu, Faustino J. Gomez, Tobias Glasmachers
2011	—	`conf`	Optimal Direct Policy Search. AGI Tobias Glasmachers, Jürgen Schmidhuber
2010	—	`conf`	A Natural Evolution Strategy for Multi-objective Optimization. PPSN (1) Tobias Glasmachers, Tom Schaul, Jürgen Schmidhuber
2010	A	`conf`	Exponential natural evolution strategies. GECCO Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jürgen Schmidhuber
2010	J	`jnl`	Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters. IEEE Trans. Pattern Anal. Mach. Intell. Tobias Glasmachers, Christian Igel
2010	—	`conf`	Universal Consistency of Multi-Class Support Vector Classification. NIPS Tobias Glasmachers
2008	—	`—`	Gradient based optimization of support vector machines. Tobias Glasmachers
2008	B	`conf`	On related violating pairs for working set selection in SMO algorithms. ESANN Tobias Glasmachers
2008	J	`jnl`	Second-Order SMO Improves SVM Online and Active Learning. Neural Comput. Tobias Glasmachers, Christian Igel
2008	J	`jnl`	Shark. J. Mach. Learn. Res. Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers
2008	A	`conf`	Uncertainty Handling in Model Selection for Support Vector Machines. PPSN Tobias Glasmachers, Christian Igel
2007	J	`jnl`	Evolutionary Optimization of Sequence Kernels for Detection of bacterial gene Starts. Int. J. Neural Syst. Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel
2007	J	`jnl`	Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection. IEEE ACM Trans. Comput. Biol. Bioinform. Christian Igel, Tobias Glasmachers, Britta Mersch, Nico Pfeifer, Peter Meinicke
2006	B	`conf`	Degeneracy in model selection for SVMs with radial Gaussian kernel. ESANN Tobias Glasmachers
2006	—	`conf`	Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. ICANN (2) Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel
2006	J	`jnl`	Maximum-Gain Working Set Selection for SVMs. J. Mach. Learn. Res. Tobias Glasmachers, Christian Igel
2005	J	`jnl`	Gradient-Based Adaptation of General Gaussian Kernels. Neural Comput. Tobias Glasmachers, Christian Igel