Author

Guido Montúfar

2 papers indexed here

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#machine learning Open access Mar 2024

Fisher-Rao Gradient Flows of Linear Programs and State-Action Natural Policy Gradients

This work studies Fisher-Rao gradient flows of linear programs more generally and shows linear convergence with a rate that depends on the geometry of the linear program, and shows sublinear convergence for perturbed Fisher-Rao gradient flows and natural gradient flows up to an approximation error.

Johannes Müller, Semih Cayci, Guido Montúfar · SIAM Journal on Optimization · 6 citations

#machine learning Preprint Sep 2026

Polyhedral Geometry of Time-to-First-Spike Neural Networks

This work formalizes causal regions as polyhedral regions with fixed causal sets and derive upper and lower bounds on the maximal number of causal regions in both shallow and multilayer feedforward spiking networks.

Manjot Singh, Guido Montúfar, Gitta Kutyniok · 0 citations