Bäck, Thomas

11 publications

AutoML 2025 Feasibility-Driven Trust Region Bayesian Optimization Paolo Ascia, Elena Raponi, Thomas Bäck, Fabian Duddeck

TMLR 2025 Lognormal Mutations and Their Use in Detecting Surreptitious Fake Images Olivier Teytaud, Mariia Zameshina, Tom Sander, Pierre Fernandez, Furong Ye, Laurent Najman, Thomas Bäck, Ismail Labiad

NeurIPSW 2024 Adaptive Hybrid Model Pruning in Federated Learning Through Loss Exploration Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer

ICMLW 2024 Adaptive Model Pruning in Federated Learning Through Loss Exploration Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer

PGM 2024 Balancing Computational Cost and Accuracy in Inference of Continuous Bayesian Networks Maarten C. Vonk, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova

ECCV 2024 Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang

MLJ 2024 Hyperparameter Importance and Optimization of Quantum Neural Networks Across Small Datasets Charles Moussa, Yash J. Patel, Vedran Dunjko, Thomas Bäck, Jan N. van Rijn

ICCVW 2023 Clustering-Based Domain-Incremental Learning Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras

AutoML 2023 MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr

ECML-PKDD 2020 Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen

ECML-PKDD 1993 An Overview of Evolutionary Computation William M. Spears, Kenneth A. De Jong, Thomas Bäck, David B. Fogel, Hugo de Garis