Hefenbrock, Michael

5 publications

NeurIPS 2025 Learning in Compact Spaces with Approximately Normalized Transformer Jörg K.H. Franke, Urs Spiegelhalter, Marianna Nezhurina, Jenia Jitsev, Frank Hutter, Michael Hefenbrock

NeurIPS 2024 Improving Deep Learning Optimization Through Constrained Parameter Regularization Jörg K.H. Franke, Michael Hefenbrock, Gregor Koehler, Frank Hutter

NeurIPSW 2023 New Horizons in Parameter Regularization: A Constraint Approach Jörg K.H. Franke, Michael Hefenbrock, Gregor Koehler, Frank Hutter

ECML-PKDD 2022 Automatic Feature Engineering Through Monte Carlo Tree Search Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl

ECML-PKDD 2020 Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone Yexu Zhou, Michael Hefenbrock, Yiran Huang, Till Riedel, Michael Beigl