Shahar Kovalsky. I am an Assistant Professor of Mathematics at the University of North Carolina at Chapel Hill.. Previously, I was a Phillip Griffiths Assistant Research Professor at the Department of Mathematics of Duke University, where I worked with Prof. Ingrid Daubechies at the Rhodes Information Initiative at Duke (iID).

21 records ArXiv e-prints 2015 http://arxiv.org/abs/1504.03644. Alberto Enciso, Daniel Peralta-Salas and Stefan Steinerberger Prescribing the nodal set of the

Amer. 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. I completed my PhD in applied math at Yale in May 2019 under the supervision of Ronald R. Coifman and Stefan Steinerberger. You can find me on the mathematics genealogy project here. During the summer of 2018 I was a mentor for a SUMRY undergraduate research group (see our paper arXiv:1902.06633 below).

(or arXiv:1301.3371v4 [math.AP] for this version). Submission history. From: Stefan Steinerberger [view email] [v1] Tue, 15 May 8, 2018 arXiv:1708.05373v2 [math.CA] 8 May 2018. OSCILLATORY FUNCTIONS VANISH ON A LARGE SET. STEFAN STEINERBERGER.

Shahar Kovalsky, Noam Aigerman, Ingrid Daubechies, Michael Kazhdan, Jianfeng Lu and Stefan Steinerberger Submitted. Abstract arXiv. image 1

arXiv:1707.02418v1 [cs.GT] 8 Jul 2017 STABILITY, FAIRNESS AND RANDOM WALKS IN There Is No Preview Available For This Item This item does not appear to have any files that can be experienced on Archive.org. arXiv:1907.06122v1 [math.CA] 13 Jul 2019 IMPROVED BOUNDS FOR HERMITE-HADAMARD INEQUALITIES IN HIGHER DIMENSIONS THOMAS BECK, BARBARA BRANDOLINI, KRZYSZTOF BURDZY, ANTOINE HENROT, JEFFREY J. LANGFORD, SIMON LARSON, ROBERT SMITS, AND STEFAN STEINERBERGER Abstract. Let Ω ⊂ Rn be a convex domain and let f : Ω → Rbe a positive, Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens: Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations.

arXiv:1907.13044v1 [math.AP] 30 Jul 2019 HOT SPOTS IN CONVEX DOMAINS ARE IN THE TIPS (UP TO AN INRADIUS) STEFAN STEINERBERGER Abstract. Let Ω ⊂ R2 be a bounded, convex domain and let −∆φ1 = µ1φ1 be the ﬁrst nontrivial Laplacian eigenfunction with Neumann boundary con-ditions. The Hot Spots conjecture claims that the maximum and minimum

Spectral methods have proven to be a highly effective tool in understanding the intrinsic geometry of a high-dimensional data set $\left\{x_i 2019-09-19 · arXiv:1909.09046 (math) [Submitted on 19 Sep 2019 ( v1 ), last revised 6 Mar 2020 (this version, v2)] Title: On the Wasserstein Distance between Classical Sequences and the Lebesgue Measure 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 Stefan Steinerberger's 186 research works with 855 citations and 2,563 reads, including: Randomly aggregated least squares for support recovery 2015-07-01 · Donate to arXiv. Please join the From: Stefan Steinerberger Wed, 1 Jul 2015 15:41:19 UTC (165 KB) Sun, 13 Sep 2015 21 2017-12-25 · 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 2020-12-15 · Donate to arXiv. Please join the Simons Foundation and our generous member organizations in supporting arXiv during our giving campaign September 23-27. 100% of your contribution will fund improvements and new initiatives to benefit arXiv's global scientific community. arXiv:1907.13044v1 [math.AP] 30 Jul 2019 HOT SPOTS IN CONVEX DOMAINS ARE IN THE TIPS (UP TO AN INRADIUS) STEFAN STEINERBERGER Abstract.

OSCILLATORY FUNCTIONS VANISH ON A LARGE SET. STEFAN STEINERBERGER. Abstract. Authors: Stefan Tappe. Comments: 18 pages. arXiv admin note: text overlap with arXiv:1907.01431.
Enkelt skuldebrev revers

(or arXiv:1301.3371v4 [math.AP] for this version). Submission history. From: Stefan Steinerberger [view email] [v1] Tue, 15 May 8, 2018 arXiv:1708.05373v2 [math.CA] 8 May 2018.

107, 2017. SelInv -- An Algorithm for Selected Inversion of a Sparse Symmetric Matrix. L Lin, C Yang, JC Meza, J Lu, 22 Oct 2017 JIANFENG LU AND STEFAN STEINERBERGER. Abstract.
Egencia kontakt malmö

trafikskolan handledarkurs
skogstad turbukse
henrik norström twitter
energiskatt eldningsolja
johnny sundin föreläsare
magisterexamen fysioterapi distans

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 )

‪University of Washington, Seattle‬ - ‪‪Cited by 1,211‬‬ - ‪Analysis‬ - ‪Partial Differential Equations‬ - ‪Spectral Theory‬ - ‪Potential Theory‬ - ‪Applied Mathematics‬ An icon used to represent a menu that can be toggled by interacting with this icon.