Publications (27)
DESI DR2 Galaxy Luminosity Functions
Samuel G. Moore, Shaun Cole, Michael Wilson +54
We present galaxy luminosity functions (LFs) for the Dark Energy Spectroscopic Instrument (DESI) DR2 Bright Galaxy Survey (BGS) in the g,r,z, and w1 bands over 0.002<z<0.6. Our ana…
An open-source machine learning framework for global analyses of parton distributions
Richard D. Ball, Stefano Carrazza, Juan Cruz-Martinez +14
We present the software framework underlying the NNPDF4.0 global determination of parton distribution functions (PDFs). The code is released under an open source licence and is acc…
How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure
Michael Wilson, Jackson Petty, Robert Frank
Language models are typically evaluated on their success at predicting the distribution of specific words in specific contexts. Yet linguistic knowledge also encodes relationships…
Machine Learning Trivializing Maps: A First Step Towards Understanding How Flow-Based Samplers Scale Up
Luigi Del Debbio, Joe Marsh Rossney, Michael Wilson
A trivializing map is a field transformation whose Jacobian determinant exactly cancels the interaction terms in the action, providing a representation of the theory in terms of a…
Static Analysis for AWS Best Practices in Python Code
Rajdeep Mukherjee, Omer Tripp, Ben Liblit +1
Amazon Web Services (AWS) is a comprehensive and broadly adopted cloud provider, offering over 200 fully featured services, including compute, database, storage, networking and con…
A First Determination of Parton Distributions with Theoretical Uncertainties
The NNPDF Collaboration, Rabah Abdul Khalek, Richard D. Ball +11
The parton distribution functions (PDFs) which characterize the structure of the proton are currently one of the dominant sources of uncertainty in the predictions for most process…