3 papers
cs.LG2026
On Dominant Manifolds in Reservoir Computing Networks
Noa Kaplan, Alberto Padoan, Anastasia Bizyaeva
Understanding how training shapes the geometry of recurrent network dynamics is a central problem in time-series modeling. We study the emergence of low-dimensional dominant manifo…
cs.LG2026
Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification
Zhiheng Chen, Urban Fasel, Anastasia Bizyaeva
We introduce Fourier Weak SINDy, a minimal noise-robust and interpretable derivative-free equation learning method that combines weak-form sparse equation learning with spectral de…
cs.RO2026
From Vision to Decision: Neuromorphic Control for Autonomous Navigation and Tracking
Chuwei Wang, Eduardo Sebastián, Amanda Prorok +1
Robotic navigation has historically struggled to reconcile reactive, sensor-based control with the decisive capabilities of model-based planners. This duality becomes critical when…