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cs.LG2026
Riemannian Optimization in Modular Systems
Christian Pehle, Jean-Jacques Slotine
Understanding how systems built out of modular components can be jointly optimized is an important problem in biology, engineering, and machine learning. The backpropagation algori…
cs.NE2026
Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks
Todd Morrill, Christian Pehle, Anthony Zador
Continuous-time, event-native spiking neural networks (SNNs) operate strictly on spike events, treating spike timing and ordering as the representation rather than an artifact of t…
math.OC2026
Unlocked Backpropagation using Wave Scattering
Christian Pehle, Jean-Jacques Slotine
Both the backpropagation algorithm in machine learning and the maximum principle in optimal control theory are posed as a two-point boundary problem, resulting in a "forward-backwa…