From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Contextual Deconvolution for Variance-Stable Demand Sensing: Kernel-Modulated Operators in Promotional Retail
Mohammad Forouhesh
Machine learning demand forecasts optimize statistical accuracy yet leave excess operational volatility that inflates safety stock and amplifies the Bullwhip effect. We introduce \…
cs.LG2026
Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs
Mohammad Forouhesh
The paper proposes a gauge‑invariant regularization based on the graph Dirichlet energy to recover latent potentials from flow data on directed graphs, achieving stable estimates a…