activity
20072023
most citedCOT-GAN: Generating Sequential Data via Causal Optimal Transport

38 citations · 73 across the 10 of their papers we have counts for

collaborators

13 papers

cs.LG2023★ 1 cited

Unified Functional Hashing in Automatic Machine Learning

Ryan Gillard, Stephen Jonany, Yingjie Miao +7

The field of Automatic Machine Learning (AutoML) has recently attained impressive results, including the discovery of state-of-the-art machine learning solutions, such as neural im…

cs.LG2022★ 10 cited

Why neural networks find simple solutions: the many regularizers of geometric complexity

Benoit Dherin, Michael Munn, Mihaela Rosca +1

In many contexts, simpler models are preferable to more complex models and the control of this model complexity is the goal for many methods in machine learning such as regularizat…

math.DG2020

On Weak Super Ricci Flow through Neckpinch

Sajjad Lakzian, Michael Munn

In this article, we study the Ricci flow neckpinch in the context of metric measure spaces. We introduce the notion of a Ricci flow metric measure spacetime and of a weak (refined)…

stat.ML2020★ 38 cited

COT-GAN: Generating Sequential Data via Causal Optimal Transport

Tianlin Xu, Li K. Wenliang, Michael Munn +1

We introduce COT-GAN, an adversarial algorithm to train implicit generative models optimized for producing sequential data. The loss function of this algorithm is formulated using…

math.DG2016★ 1 cited

Three-Dimensional Alexandrov spaces with positive or nonnegative Ricci curvature

Qintao Deng, Fernando Galaz-Garcia, Luis Guijarro +1

We study closed three-dimensional Alexandrov spaces with a lower Ricci curvature bound in the sense, focusing our attention on those with positive or nonnegati…

math.DG2015

Geometric singularities and a flow tangent to the Ricci flow

Lashi Bandara, Sajjad Lakzian, Michael Munn

We consider a geometric flow introduced by Gigli and Mantegazza which, in the case of smooth compact manifolds with smooth metrics, is tangen- tial to the Ricci flow almost-everywh…

math.MG2014

Alexandrov spaces with large volume growth

Michael Munn

Let be an -dimensional Alexandrov space whose Hausdorff measure satisfies a condition giving the metric measure space a notion of h…

math.MG2014★ 6 cited

Intrinsic flat convergence with bounded Ricci curvature

Michael Munn

In this paper we address the relationship between Gromov-Hausdorff limits and intrinsic flat limits of complete Riemannian manifolds. In \cite{SormaniWenger2010, SormaniWenger2011}…

math.MG2014

On the Size of a Ricci Flow Neckpinch via Optimal Transport

Sajjad Lakzian, Michael Munn

In this paper we apply techniques from optimal transport to study the neckpinch examples of Angenent-Knopf which arise through the Ricci flow on . In particular,…

math.DG2012★ 3 cited

Super Ricci flow for disjoint unions

Sajjad Lakzian, Michael Munn

In this paper we consider compact, Riemannian manifolds each equipped with a one-parameter family of metrics satisfying the Ricci flow equation. Motivat…

math.MG2010

Volume growth and the topology of Gromov-Hausdorff limits

Michael Munn

We examine topological properties of pointed metric measure spaces that can be realized as the pointed Gromov-Hausdorff limit of a sequence of complete, Riemannian manifol…

math.NT2008★ 13 cited

On the appearance of Eisenstein series through degeneration

Dan Garbin, Jay Jorgenson, Michael Munn

Let be a Fuchsian group of the first kind acting on the hyperbolic upper half plane , and let be the associated finite volume hyperbolic…

math.DG2007★ 1 cited

Volume growth and the topology of manifolds with nonnegative Ricci curvature

Michael Munn

Let be a complete, open Riemannian manifold with $\Ric \geq 0$. In 1994, Grigori Perelman showed that there exists a constant , depending only on the dimension of th…