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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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5 results for “Bispectrum”

Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Supporteess.SP

Paper presents a unique method to recover signals from their bispectrum.

problem Retrieving signals accurately from their bispectrum.

method Two-step trust region algorithm that minimizes a non-convex objective function.

result Signals with finite spectral or temporal support can be recovered from at least 3B measurements of their bispectrum.

signal processing bispectrum inversion finite spectral support time-limited signals trust region algorithm

2021-11-11abs ↗pdf ↗

Bispectral OT: Dataset Comparison using Symmetry-Aware Optimal Transportcs.LG

Bispectral OT improves dataset comparison by preserving intrinsic coherence.

problem Ignoring intrinsic coherence in dataset comparisons using pairwise geometric distances.

method Introduces Bispectral Optimal Transport, a symmetry-aware extension of discrete OT.

result Transport plans computed with Bispectral OT achieve greater class preservation accuracy.

Optimal Transport Symmetry Bispectrum Dataset Comparison Feature Invariance

2025-09-25abs ↗pdf ↗

Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networksstat.ML

New method classifies nonlinear time series using deep CNNs and bispectra.

problem Classifying nonlinear time series data effectively.

method Combines HOSA with deep CNNs.

result Effective classification of nonlinear time series data.

time series classification deep learning nonlinear dynamics bistpectrum convolutional neural networks

2020-03-04abs ↗pdf ↗

Heterogeneous multireference alignment for images with application to 2-D classification in single particle reconstructioneess.IV

Motivated by the task of 2-D classification in single particle reconstruction by cryo-electron microscopy (cryo-EM), we consider the problem of heterogeneous multireference alignment of images. In this problem, the goal is to estimate a (typically small) set of target images from a (typically large) collection of obser…

2018-10-12abs ↗pdf ↗

CHARM: Creating Halos with Auto-Regressive Multi-stage networksastro-ph.CO

CHARM creates mock halo catalogs from dark matter density fields using neural networks.

problem Creating accurate mock halo catalogs for cosmological studies is computationally expensive.

method CHARM uses multi-stage neural spline flow networks to learn the mapping from dark matter density fields to halo catalogs.

result Mock halo catalogs have the same statistical properties as those from high-resolution N-body simulations.

halo catalog neural networks dark matter cosmological inference simulation-based inference

2024-09-13abs ↗pdf ↗