D. Mixon

collaborators

20 papers

hep-ph2026

Kinematic Fingerprints of a Nucleon-Triggered $V_{B}$ in Rare $η^{(')} \to π^{0} (η) γ γ$ Decays on Nucleon Targets

Yaroslav Balytskyi

The nucleon-triggered vector-boson scenario $V_{B}$ was motivated by a statistically significant discrepancy between the KLOE measurement, $\mathrm{BR}^{η\rightarrowπ^{0}γ…

math.CO2026

Short spherical $t$ -design curves

Emily J. King, Dustin G. Mixon

We study the minimum arclength of spherical $t$ -design curves, i.e., closed rectifiable curves on $S^{d}$ whose normalized arclength measure exactly integrates every polynomial of de…

math.FA2026

The Singer-Zauner gap for equiangular tight frames

Matthew Fickus, John Jasper, Dustin G. Mixon

We show that there does not exist a complex $d \times n$ equiangular tight frame with \[ d^2-d+1<n<d^2. \] The proof, which originated from an internal model at OpenAI, mimics the r…

math.FA2026

Approximation theorems in bilipschitz invariant theory

Jameson Cahill, Joseph W. Iverson, Dustin G. Mixon +1

Bilipschitz invariant theory concerns low-distortion embeddings of orbit spaces into Euclidean space. To date, embeddings with the smallest-possible distortion are known for only a…

cs.LG2026

Neural collapse in the orthoplex regime

James Alcala, Rayna Andreeva, Vladimir A. Kobzar +4

When training a neural network for classification, the feature vectors of the training set are known to collapse to the vertices of a regular simplex, provided the dimension $d$ of…

cs.LG2026

SUNLayer: Stable denoising with generative networks

Ruhui Jin, Dustin G. Mixon, Soledad Villar

Deep neural networks are often used to implement powerful generative models for real-world data. Notable applications include image denoising, as well as other classical inverse pr…