Publications

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Bulletin of mathematical biology

Ciocanel, M-V; Ding, L; Mastromatteo, L; Reichheld, S; Cabral, S; Mowry, K; Sandstede, B

Identifying unique parameters for mathematical models describing biological data can be challenging and often impossible. Parameter identifiability for partial differential equations models in cell biology is especially difficult given that many established in vivo measurements of protein dynamics… read more about this publication »


Genet Epidemiol

Li, X; Pura, J; Allen, A; Owzar, K; Lu, J; Harms, M; Xie, J

Rare-variants (RVs) genetic association studies enable researchers to uncover the variation in phenotypic traits left unexplained by common variation. Traditional single-variant analysis lacks power; thus, researchers have developed various methods to aggregate the effects of RVs across genomic… read more about this publication »


Proceedings of the American Mathematical Society

Gressman, PT; Pierce, LB; Roos, J; Yung, PL

We provide a simple criterion on a family of functions that implies a square function estimate on Lp for every even integer p ≥ 2. This defines a new type of superorthogonality that is verified by checking a less restrictive criterion than any other type of superorthogonality that is currently… read more about this publication »


Pure and Applied Mathematics Quarterly

Bryant, R

The local generality of the space of solitons for the Laplacian flow of closed G2-structures is analyzed, and it is shown that the germs of such structures depend, up to diffeomorphism, on 16 functions of 6 variables (in the sense of É. Cartan). The method is to construct a natural exterior… read more about this publication »


Journal of Scientific Computing

Jing, Y; Chen, J; Li, L; Lu, J

Wasserstein–Fisher–Rao (WFR) distance is a family of metrics to gauge the discrepancy of two Radon measures, which takes into account both transportation and weight change. Spherical WFR distance is a projected version of WFR distance for probability measures so that the space of Radon measures… read more about this publication »


IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society

Melikechi, O; Dunson, DB

We introduce Cayley transform ellipsoid fitting (CTEF), an algorithm that uses the Cayley transform to fit ellipsoids to noisy data in any dimension. Unlike many ellipsoid fitting methods, CTEF is ellipsoid specific, meaning it always returns elliptic solutions, and can fit arbitrary ellipsoids. It… read more about this publication »


SIAM Journal on Applied Mathematics

Ji, H; Witelski, TP

A lubrication model can be used to describe the dynamics of a weakly volatile viscous fluid layer on a hydrophobic substrate. Thin layers of the fluid are unstable to perturbations and break up into slowly evolving interacting droplets. A reduced-order dynamical system is derived from the… read more about this publication »


Quantum Topology

Hedden, M; Levine, AS

Let K be a rationally null-homologous knot in a 3-manifold Y, equipped with a non-zero framing λ, and let Yλ(K) denote the result of λ-framed surgery on Y. Ozsváth and Szabó gave a formula for the Heegaard Floer homology groups of Yλ (K) in terms of the knot Floer complex of (Y, K). We strengthen… read more about this publication »


Electronic Communications in Probability

Agazzi, A; Grotto, F; Mattingly, JC

We consider a stochastic version of the point vortex system, in which the fluid velocity advects single vortices intermittently for small random times. Such system converges to the deterministic point vortex dynamics as the rate at which single components of the vector field are randomly switched… read more about this publication »


IEEE Transactions on Information Theory

Cheng, X; Lu, J; Tan, Y; Xie, Y

Flow-based generative models enjoy certain advantages in computing the data generation and the likelihood, and have recently shown competitive empirical performance. Compared to the accumulating theoretical studies on related score-based diffusion models, analysis of flow-based models, which are… read more about this publication »


IEEE Journal on Selected Areas in Information Theory

Xu, C; Lee, J; Cheng, X; Xie, Y

We present a computationally efficient framework, called FlowDRO, for solving flow-based distributionally robust optimization (DRO) problems with Wasserstein uncertainty sets while aiming to find continuous worst-case distribution (also called the Least Favorable Distribution, LFD) and sample from… read more about this publication »


Journal of biological dynamics

Cruikshank, A; Nijhout, HF; Best, J; Reed, M

In volume transmission (or neuromodulation) neurons do not make one-to-one connections to other neurons, but instead simply release neurotransmitter into the extracellular space from numerous varicosities. Many well-known neurotransmitters including serotonin (5HT), dopamine (DA), histamine (HA),… read more about this publication »


Humanities and Social Sciences Communications

Topaz, CM; Ning, S; Ciocanel, MV; Bushway, S

Race-based inequity in federal criminal sentencing is widely acknowledged, and yet our understanding of it is far from complete. Inequity may arise from several sources, including direct bias of courtroom actors and structural bias that produces racially disparate impacts. Irrespective of these… read more about this publication »