Schotthöfer, Steffen

7 publications

NeurIPS 2025 A Geometric Framework for Momentum-Based Optimizers for Low-Rank Training Steffen Schotthöfer, Timon Klein, Jonas Kusch

NeurIPS 2025 Dynamical Low-Rank Compression of Neural Networks with Robustness Under Adversarial Attacks Steffen Schotthöfer, H. Lexie Yang, Stefan Schnake

ICLR 2025 GeoLoRA: Geometric Integration for Parameter Efficient Fine-Tuning Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch

NeurIPSW 2024 Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer, M. Paul Laiu

NeurIPS 2024 Geometry-Aware Training of Factorized Layers in Tensor Tucker Format Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco

NeurIPS 2022 Low-Rank Lottery Tickets: Finding Efficient Low-Rank Neural Networks via Matrix Differential Equations Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco

ICML 2022 Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory Hauck