output
20222026

6 papers

astro-ph.SR2026

Spitzer + HST parallaxes of 13 late T and Y dwarfs

Federico Marocco, J. Davy Kirkpatrick, Richard L. Smart +13

We present astrometric measurements for 13 cold brown dwarfs in the solar neighborhood (d < 20pc). By combining archival Spitzer data with our own Hubble Space Telescope (HST) obse…

cs.LG2026

Uniform error bounds for quantized dynamical models

Abdelkader Metakalard, Fabien Lauer, Kevin Colin +1

This paper provides statistical guarantees on the accuracy of dynamical models learned from dependent data sequences. Specifically, we develop uniform error bounds that apply to qu…

physics.med-ph2025

A dynamic shim approach for correcting eddy current effects in diffusion-prepared MRI acquisition using a multi-coil AC/DC shim-array

Congyu Liao, Jason P. Stockmann, Zhitao Li +18

Purpose: We developed a dynamic B0 shimming approach using a 46-channel AC/DC shim array to correct phase errors caused by eddy currents from diffusion-encoding gradients in diffus…

cs.CR2025

Union: A Trust-minimized Bridge for Rootstock

Ramon Amela, Shreemoy Mishra, Sergio Demian Lerner +1

We present Union, a trust-minimized bridge protocol that enables secure transfer of BTC between Bitcoin and a secondary blockchain. The growing ecosystem of blockchain systems buil…

astro-ph.GA2024

Feedback in Emerging Extragalactic Star Clusters (JWST--FEAST): Calibration of Star Formation Rates in the Mid-Infrared with NGC 628

Daniela Calzetti, Angela Adamo, Sean T. Linden +19

New JWST near-infrared imaging of the nearby galaxy NGC 628 from the Cycle 1 program JWST-FEAST is combined with archival JWST mid-infrared imaging to calibrate the 21 m emissio…

cs.LG2022

Convolutional Network Fabric Pruning With Label Noise

Ilias Benjelloun, Bart Lamiroy, Efoevi Koudou

This paper presents an iterative pruning strategy for Convolutional Network Fabrics (CNF) in presence of noisy training and testing data. With the continuous increase in size of ne…