2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Training-Free Adaptation
Ian Magnusson, Noah A. Smith, Pang Wei Koh
The scaling relationship of compute and performance for language models (LMs) has been extensively studied; more recently, models are being designed to scale memory use, as well. I…
Likelihood \& Correlation Analysis of Electroproduction for Proton Tensor Charge Extraction
Saraswati Pandey, Douglas Q. Adams, Simonetta Liuti +3
We present a likelihood analysis of observables in deeply virtual exclusive electro-production off the proton. We use experimental data for the cross section as well as the b…
Neural Network Representation of Generalized Parton Distributions (NNGPD)
Jitao Xu, Ho Jang, Zaki Panjsheeri +10
We present a neural-network-based framework for modeling generalized parton distributions, referred to as NNGPD, in which GPDs are represented as flexible functions constrained thr…
Markov chain Monte Carlo (MCMC) based Likelihood Extraction of Chiral-Odd Compton Form Factors from Deeply Virtual Exclusive Experiments
Saraswati Pandey, Douglas Q. Adams, Simonetta Liuti
We present a likelihood analysis of observables in deeply virtual exclusive meson production off the proton. The study uses experimental data for cross sections together with beam…