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arxiv.org arXiv
arxiv.org › abs › astro-ph › 0510198v1
On the relation between Hot-Jupiters and the Roche Limit
Many of the known extrasolar planets are ``hot Jupiters,'' giant planets with orbital periods of just a few days. We use the observed distribution of hot Jupiters to constrain the location of the ``in...
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arxiv.org arXiv
arxiv.org › abs › 2501.16971v1
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
In recent years, there have been significant improvements in various forms of image outlier detection. However, outlier detection performance under adversarial settings lags far behind that in standar...
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arxiv.org arXiv
arxiv.org › abs › 1703.10633v1
Light spanners for bounded treewidth graphs imply light spanners for $H$-minor-free graphs
Grigni and Hung~\cite{GH12} conjectured that H-minor-free graphs have $(1+ε)$-spanners that are light, that is, of weight $g(|H|,ε)$ times the weight of the minimum spanning tree for some function $...
arxiv.org arXiv
arxiv.org › abs › 1711.00821v1
Minor-free graphs have light spanners
We show that every $H$-minor-free graph has a light $(1+ε)$-spanner, resolving an open problem of Grigni and Sissokho and proving a conjecture of Grigni and Hung. Our lightness bound is \[O\left(\fra...
arxiv.org arXiv
arxiv.org › abs › 2602.05978v1
Improved Rodeo Algorithm Performance for Spectral Functions and State Preparation
The Rodeo Algorithm is a quantum computing method for computing the energy spectrum of a Hamiltonian and preparing its energy eigenstates. We discuss how to improve the performance of the rodeo algori...
arxiv.org arXiv
arxiv.org › abs › 2110.07747v2
Demonstration of the Rodeo Algorithm on a Quantum Computer
The rodeo algorithm is an efficient algorithm for eigenstate preparation and eigenvalue estimation for any observable on a quantum computer. This makes it a promising tool for studying the spectrum an...
arxiv.org arXiv
arxiv.org › abs › 2506.21776v1
rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations
Parameter estimation for ordinary differential equations (ODEs) plays a fundamental role in the analysis of dynamical systems. Generally lacking closed-form solutions, ODEs are traditionally approxima...
arxiv.org arXiv
arxiv.org › abs › 2305.19952v4
Optimizing rodeo projection
The rodeo algorithm has been proposed recently as an efficient method in quantum computing for projection of a given initial state onto a state of fixed energy for systems with discrete spectra. In th...
arxiv.org arXiv
arxiv.org › abs › 0803.1709v1
Rodeo: Sparse, greedy nonparametric regression
We present a greedy method for simultaneously performing local bandwidth selection and variable selection in nonparametric regression. The method starts with a local linear estimator with large bandwi...
arxiv.org arXiv
arxiv.org › abs › 2407.01146v1
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
Current deep learning-based models typically analyze medical images in either 2D or 3D albeit disregarding volumetric information or suffering sub-optimal performance due to the anisotropic resolution...