Farghly, Tyler

4 publications

NeurIPS 2025 Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing Is Geometry Adaptive Tyler Farghly, Peter Potaptchik, Samuel Howard, George Deligiannidis, Jakiw Pidstrigach

ALT 2025 Generalisation Under Gradient Descent via Deterministic PAC-Bayes Eugenio Clerico, Tyler Farghly, George Deligiannidis, Benjamin Guedj, Arnaud Doucet

JMLR 2024 Mean-Square Analysis of Discretized Itô Diffusions for Heavy-Tailed Sampling Ye He, Tyler Farghly, Krishnakumar Balasubramanian, Murat A. Erdogdu

NeurIPS 2021 Time-Independent Generalization Bounds for SGLD in Non-Convex Settings Tyler Farghly, Patrick Rebeschini