Mutschler, Christopher

10 publications

TMLR 2025 Bayesian Learning-Driven Prototypical Contrastive Loss for Class-Incremental Learning Nisha L. Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott

ICML 2025 Benchmarking Quantum Reinforcement Learning Nico Meyer, Christian Ufrecht, George Yammine, Georgios Kontes, Christopher Mutschler, Daniel Scherer

NeurIPSW 2024 Fused-Layer CNNs for Memory-Efficient Inference on Microcontrollers Mark Deutel, Frank Hannig, Christopher Mutschler, Jürgen Teich

TMLR 2024 Reinforcement Learning for Node Selection in Branch-and-Bound Alexander Julian Mattick, Christopher Mutschler

TMLR 2023 Active Learning of Ordinal Embeddings: A User Study on Football Data Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern Eskofier, Christopher John Rozell, Christopher Mutschler

ICML 2023 Quantum Policy Gradient Algorithm with Optimized Action Decoding Nico Meyer, Daniel Scherer, Axel Plinge, Christopher Mutschler, Michael Hartmann

JMLR 2022 IALE: Imitating Active Learner Ensembles Christoffer Löffler, Christopher Mutschler

WACV 2022 Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

ECML-PKDD 2020 Automated Quality Assurance for Hand-Held Tools via Embedded Classification and AutoML Christoffer Löffler, Christian Nickel, Christopher Sobel, Daniel Dzibela, Jonathan Braat, Benjamin Gruhler, Philipp Woller, Nicolas Witt, Christopher Mutschler

CVPRW 2020 ViPR: Visual-Odometry-Aided Pose Regression for 6DoF Camera Localization Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler