Publications

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Journal of Applied and Computational Topology

Solomon, YE; Bendich, P

In this paper, we consider topological featurizations of data defined over simplicial complexes, like images and labeled graphs, obtained by convolving this data with various filters before computing persistence. Viewing a convolution filter as a local motif, the persistence diagram of the… read more about this publication »


Applied and computational harmonic analysis

Rosen, E; Cheng, X; Shkolnisky, Y

The diffusion maps embedding of data lying on a manifold has shown success in tasks such as dimensionality reduction, clustering, and data visualization. In this work, we consider embedding data sets that were sampled from a manifold which is closed under the action of a continuous matrix group. An… read more about this publication »


Bernoulli

Cheng, X; Xie, Y

We present a study of a kernel-based two-sample test statistic related to the Maximum Mean Discrepancy (MMD) in the manifold data setting, assuming that high-dimensional observations are close to a low-dimensional manifold. We characterize the test level and power in relation to the kernel… read more about this publication »


Journal of the Institute of Mathematics of Jussieu

Browning, T; Pierce, LB; Schindler, D

We introduce a new class of generalised quadratic forms over totally real number fields, which is rich enough to capture the arithmetic of arbitrary systems of quadrics over the rational numbers. We explore this connection through a version of the Hardy-Littlewood circle method over number fields. read more about this publication »


Inventiones Mathematicae

Drivas, TD; Elgindi, TM; Jeong, IJ

We introduce a notion of stability for non-autonomous Hamiltonian flows on two-dimensional annular surfaces. This notion of stability is designed to capture the sustained twisting of particle trajectories. The main Theorem is applied to establish a number of results that reveal a form of… read more about this publication »


Leibniz International Proceedings in Informatics Lipics

Cai, Y; Tong, Y; Preskill, J

Analog quantum simulation is a promising path towards solving classically intractable problems in many-body physics on near-term quantum devices. However, the presence of noise limits the size of the system and the length of time that can be simulated. In our work, we consider an error model in… read more about this publication »


Physics Reports

Tubiana, L; Alexander, GP; Barbensi, A; Buck, D; Cartwright, JHE; Chwastyk, M; Cieplak, M; Coluzza, I; Čopar, S; Craik, DJ; Di Stefano, M; Everaers, R; Faísca, PFN; Ferrari, F; Giacometti, A; Goundaroulis, D; Haglund, E; Hou, YM; Ilieva, N; Jackson, SE; Japaridze, A; Kaplan, N; Klotz, AR; Li, H; Likos, CN; Locatelli, E; López-León, T; Machon, T; Micheletti, C; Michieletto, D; Niemi, A; Niemyska, W; Niewieczerzal, S; Nitti, F; Orlandini, E; Pasquali, S; Perlinska, AP; Podgornik, R; Potestio, R; Pugno, NM; Ravnik, M; Ricca, R; Rohwer, CM; Rosa, A; Smrek, J; Souslov, A; Stasiak, A; Steer, D; Sułkowska, J; Sułkowski, P; Sumners, DWL; Svaneborg, C; Szymczak, P; Tarenzi, T; Travasso, R; Virnau, P; Vlassopoulos, D; Ziherl, P; Žumer, S

The last years have witnessed remarkable advances in our understanding of the emergence and consequences of topological constraints in biological and soft matter. Examples are abundant in relation to (bio)polymeric systems and range from the characterization of knots in single polymers and proteins… read more about this publication »


Acad Radiol

Nguyen, DL; Shelley Hwang, E; Ryser, MD; Grimm, LJ

RATIONALE AND OBJECTIVES: To determine the imaging changes and their associated positive predictive value (PPV) for invasive breast cancer in women undergoing active monitoring for ductal carcinoma in situ (DCIS). MATERIALS AND METHODS: In this seven-year follow-up retrospective IRB-exempted cohort… read more about this publication »


Applied and computational harmonic analysis

Rosen, E; Hoyos, P; Cheng, X; Kileel, J; Shkolnisky, Y

Graph Laplacian based algorithms for data lying on a manifold have been proven effective for tasks such as dimensionality reduction, clustering, and denoising. In this work, we consider data sets whose data points lie on a manifold that is closed under the action of a known unitary matrix Lie group… read more about this publication »