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20212024
most citedScore-based generative models are provably robust: an uncertainty quantification perspective

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ML2024★ 1 cited

Score-based generative models are provably robust: an uncertainty quantification perspective

Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis

Through an uncertainty quantification (UQ) perspective, we show that score-based generative models (SGMs) are provably robust to the multiple sources of error in practical implemen…

math.OC2023

Sharp convergence rates for mean field control in the region of strong regularity

Pierre Cardaliaguet, Joe Jackson, Nikiforos Mimikos-Stamatopoulos +1

We study the convergence problem for mean field control, also known as optimal control of McKean-Vlasov dynamics. We assume that the data is smooth but not convex, and thus the lim…

math.AP2023

A Mean Field Game approach to Large Deviations for empirical measures under common noise

Nikiforos Mimikos-Stamatopoulos

We present a Mean Field Game approach to obtain the rate function for the empirical measure of interacting particles under McKean-Vlasov dynamics. Although the result is well known…

math.AP2022

Regularity and long time behavior of one-dimensional first-order mean field games and the planning problem

Nikiforos Mimikos-Stamatopoulos, Sebastian Munoz

We study the regularity and long time behavior of the one-dimensional, local, first-order mean field games system and the planning problem, assuming a Hamiltonian of superlinear gr…

math.AP2021

Weak and renormalized solutions to a hypoelliptic Mean Field Games system

Nikiforos Mimikos-Stamatopoulos

We establish the existence and uniqueness of weak and renormalized solutions to a degenerate, hypoelliptic Mean Field Games system with local coupling. An important step is to obta…