From the 1 of 20 linked papers with an AI index.
20 papers
Wasserstein Stability of Contracting Flows: Effective Rates, Euler Self-Correction, and Noise Tightening
Ali Baheri
The paper derives tighter Wasserstein‑based stability bounds for nonlinear contracting systems, analyzes the self‑correcting behavior of Euler discretization errors, and shows that…
Flow-Corrected Thompson Sampling for Non-Stationary Contextual Bandits
AmirHossein Naghdi, Ali Baheri
We study non-stationary linear contextual bandits where the reward model drifts over time, rendering classical contextual bandit algorithms brittle because historical data becomes…
Metriplectic Conditional Flow Matching for Dissipative Dynamics
Ali Baheri, Lars Lindemann
Metriplectic conditional flow matching (MCFM) learns dissipative dynamics without violating first principles. Neural surrogates often inject energy and destabilize long-horizon rol…
Geometry-Aware Uncertainty Quantification via Conformal Prediction on Manifolds
Marzieh Amiri Shahbazi, Ali Baheri
Conformal prediction gives finite-sample coverage guarantees for regression, but most standard constructions are designed for Euclidean output spaces. When the response lies on a R…
Can We Formally Verify Neural PDE Surrogates? SMT Compilation of Small Fourier Neural Operators
Ali Baheri, Ignacio Laguna Peralta
Fourier Neural Operators (FNOs) can greatly accelerate PDE simulation, but they are often used without formal guarantees that they preserve basic physical structure. We show that,…
Geometry-Aware Decentralized Sinkhorn for Wasserstein Barycenters
Ali Baheri, Alireza Vahid
Distributed systems require fusing heterogeneous local probability distributions into a global summary over sparse and unreliable communication networks. Traditional consensus algo…