Full Professor, TU Wien Vienna University of Technology
1 paper at NeurIPS 2025
LrcSSM is a nonlinear RNN with parallel prefix-scan updates, formal gradient stability, and compute-optimal scaling. It outperforms LRU, S5, and Mamba on long-range tasks - matching SSM speed without attention or FFT overhead.
