Breitenberger's uncertainty principle on the torus $\mathbb{T}$ and its higher-dimensional analogue on $\mathbb{S}^{d-1}$ are well understood. We give describe

Lederman, Roy R; Steinerberger, Stefan. Stability Estimates for Truncated Fourier and Laplace Transforms Technical Report. (arXiv:1605.03866), 2016. Abstract

Cite this article:Lu J, Steinerberger S. 2017 A variation on the and Stefan Steinerberger. 2. 1Department (http://arxiv.org/abs/1608.06604). 8. Steinerberger [Google Scholar]; Steinerberger S. A stability version of the Gauss-Lucas theorem and applications, arXiv:1805.10454.

(arXiv:1605.03866), 2016. Abstract Feb 11, 2019 One of the main results of Linderman and Steinerberger (2017) is that α plays a crucial role and that [7] Linderman George C and Steinerberger Stefan. Clustering with t-SNE, provably. arXiv preprint arXiv:1706.02582, Aug 28, 2018 Matthias Aistleitner, Jakob Kapeller & Stefan Steinerberger. To cite this article: Stefan Steinerberger is an assistant professor in the Department of Mathematics at able at http://arxiv.org/abs/cond-mat/04120 arXiv:1607.01067v2 [math.DS] 19 Jul 2016 We would like to thank Afonso Bandeira and Stefan Steinerberger for helpful comments that improved this paper . Mar 31, 2021 Gonçalves and S. Steinerberger), arXiv:1903.06826. To appear in Journal of Spectral Theory.

Adviser: Stefan Steinerberger (now https://faculty.washington.edu/steinerb/). • Written product: “Barely lonely https://arxiv.org/abs/1912.06034v1. Description:.

Walter Nissen, Abundancy : Some Resources arXiv:2104.06292v1 [math.AP] 13 Apr 2021 NONLOCAL CROSS-DIFFUSION SYSTEMS FOR MULTI-SPECIES POPULATIONS AND NETWORKS ANSGAR JUNGEL, STEFAN PORTISCH, AND ANTOINE ZUREK¨ Abstract. Nonlocal cross-diﬀusion systems on the torus, arising in population dynamics and neuralnetworks, areanalyzed.

Authors: Stefan Tappe. Comments: 18 pages. arXiv admin note: text overlap with arXiv:1907.01431. Subjects: Probability (math.PR); Functional Analysis (math.

Yale University - Cowles Jose Arnaldo Bebita Dris, A Criterion for Deficient Numbers Using the Abundancy Index and Deficiency Functions, arXiv:1308.6767 [math.NT], 2013-2016; Journal for Algebra and Number Theory Academia, Volume 8, Issue 1 (February 2018), 1-9. Walter Nissen, Abundancy : Some Resources 4 days ago Ariel Jaffe, Yuval Kluger, George C. Linderman, Gal Mishne, Stefan Steinerberger: Randomized near-neighbor graphs, giant components and PhD in applied math at Yale in May 2019 under the supervision of Ronald R. Coifman and Stefan Steinerberger. (see our paper arXiv:1902.06633 below).

from the University of Bonn in 2013 and has since been at Yale, first as a postdoc and now as an assistant professor. His work is in analysis with emphasis on harmonic analysis, spectral theory, partial differential equations and applications to other fields. Stefan Steinerberger studies Modulation, Communication Theories, and System Engineering. A joint seminar series covering a wide variety of topics in applied mathematics, PDEs, and scientific computation. stefan.steinerberger@gmail.com; Address.
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‪University of Washington, Seattle‬ - ‪‪Cited by 1,211‬‬ - ‪Analysis‬ - ‪Partial Differential Equations‬ - ‪Spectral Theory‬ - ‪Potential Theory‬ - ‪Applied Mathematics‬ There Is No Preview Available For This Item This item does not appear to have any files that can be experienced on Archive.org.

Math. Soc. [arXiv:1905.03216] Ke Chen, Qin Li, Jianfeng Lu, and Stephen J. Wright, Randomized sampling for basis functions construction in generalized finite element methods , Multiscale Model. Assistant Professor: Office: 456 DL: Phone: 203-432-4689: Fax: 203-432-7316: Email: stefan.steinerberger@yale.edu Stefan Steinerberger received his Ph.D.
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Adviser: Stefan Steinerberger (now https://faculty.washington.edu/steinerb/). • Written product: “Barely lonely https://arxiv.org/abs/1912.06034v1. Description:.

1.2. Geometric 14 Mar 2021 Dmitry Kobak, George Linderman, Stefan Steinerberger, Yuval Kluger, and ( 2018). arxiv: 1802.03426 http://arxiv.org/abs/1802.03426Google 2 Oct 2020 Jianfeng Lu3,1 and Stefan Steinerberger3,4,2 dense networks that do not globally synchronize and sparse ones that do (arXiv:1906.10627). Lederman, Roy R; Steinerberger, Stefan. Stability Estimates for Truncated Fourier and Laplace Transforms Technical Report. (arXiv:1605.03866), 2016. Abstract arXiv preprint arXiv:1803.10840, 2018.

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Given a set of noisy measurement $$ \\myvec{y} = \\myvec{X}\\myvecθ^* + \\myvecω,$$ and $\\myvec{X} \\in \\mathbb{R}^{N \\times D}$ which is a (known) Gaussian matrix and $\\myvecω \\in \\mathbb{R}^N$ is an (unknown) Gaussian noise vector, our goal is to recover the support of t-distributed Stochastic Neighborhood Embedding (t-SNE) is a method for dimensionality reduction and visualization that has become widely popular in recent years. Efficient implementations of t-SNE are available, but they scale poorly to datasets with hundreds of thousands to millions of high dimensional data-points. We present Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens: Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations. CoRR abs/1902.05804 ( 2019 ) Department of Mathematics University of Washington Administrative Office C-138 Padelford Box 354350 Seattle, WA 98195-4350 Phone: (206) 543-1150 Fax: (206) 543-0397 arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. arXiv:1904.13276v1 [econ.TH] 30 Apr 2019 Tax Mechanisms and Gradient Flows Stefan Steinerberger∗ Yale University Aleh Tsyvinski Yale University† May1,2019 Abstract We demonstrate how a static optimal income taxation problem can be analyzed using dynamical methods.

During the summer of 2018 I was a mentor for a SUMRY undergraduate research group (see our paper arXiv:1902.06633 below). Shahar Kovalsky. I am an Assistant Professor of Mathematics at the University of North Carolina at Chapel Hill..