Search Results for author: Oscar Mickelin

Found 6 papers, 4 papers with code

The beltway problem over orthogonal groups

no code implementations6 Feb 2024 Tamir Bendory, Dan Edidin, Oscar Mickelin

The classical beltway problem entails recovering a set of points from their unordered pairwise distances on the circle.

Retrieval

Moment-based metrics for molecules computable from cryo-EM images

1 code implementation26 Jan 2024 Andy Zhang, Oscar Mickelin, Joe Kileel, Eric J. Verbeke, Nicholas F. Marshall, Marc Aurèle Gilles, Amit Singer

Further, we introduce a metric between a stack of projection images and a molecular structure, which is invariant to rotations and reflections and does not require performing 3-D reconstruction.

Cryogenic Electron Microscopy (cryo-EM)

Fast expansion into harmonics on the disk: a steerable basis with fast radial convolutions

1 code implementation27 Jul 2022 Nicholas F. Marshall, Oscar Mickelin, Amit Singer

We present a fast and numerically accurate method for expanding digitized $L \times L$ images representing functions on $[-1, 1]^2$ supported on the disk $\{x \in \mathbb{R}^2 : |x|<1\}$ in the harmonics (Dirichlet Laplacian eigenfunctions) on the disk.

An optimal scheduled learning rate for a randomized Kaczmarz algorithm

no code implementations24 Feb 2022 Nicholas F. Marshall, Oscar Mickelin

We study how the learning rate affects the performance of a relaxed randomized Kaczmarz algorithm for solving $A x \approx b + \varepsilon$, where $A x =b$ is a consistent linear system and $\varepsilon$ has independent mean zero random entries.

Multi-resolution Low-rank Tensor Formats

1 code implementation29 Aug 2019 Oscar Mickelin, Sertac Karaman

We describe a simple, black-box compression format for tensors with a multiscale structure.

Numerical Analysis Numerical Analysis 65F99, 15A69

Tensor ring decomposition

1 code implementation6 Jul 2018 Oscar Mickelin, Sertac Karaman

Tensor decompositions such as the canonical format and the tensor train format have been widely utilized to reduce storage costs and operational complexities for high-dimensional data, achieving linear scaling with the input dimension instead of exponential scaling.

Numerical Analysis Numerical Analysis 65F99, 15A23, 15A69

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