Associate Professor, New York University
1 paper at NeurIPS 2025
We propose FlowMixer, a single-layer architecture using semi-group properties to eliminate neural depth search, achieving competitive multivariate forecasting with interpretable Kronecker-Koopman eigenmodes and algebraic horizon manipulation.