Published works
Submitted works
In preparation
-
Daniel Lersch,
Malachi Schram,
Zhenyu Dai,
Kishansingh Rajput,
et al.
SAGIPS: a physics-inspired scalable asynchronous generative inverse problem solver
IOP Machine Learning: Science & Technology 6 (2025) 025017 -
Adam Freese
Quantum stresses in the hydrogen atom
Physical Review D 111 (2025) 034047 -
A. Freese,
D. Adamiak,
I. Cloët,
W. Melnitchouk,
et al.
Kernel methods for evolution of generalized parton distributions
Computer Physics Communications 311 (2025) 109552 -
P.-Y. Chuang,
N. Shah,
P. Barry,
I. Cloët,
et al.
Characterization and Optimization of the Fitting of Quantum Correlation Functions
2024 IEEE High Performance Extreme Computing Conference (HPEC) (2024) 1-8
Submitted works
-
Adam Freese
Reflections on Noether's second theorem and the energy-momentum tensor
Preprint posted at arXiv [hep-ph]
arXiv:2506.04510 -
Adam Freese
Mechanical form factors and densities of non-relativistic fermions
Preprint posted at arXiv [hep-ph]
arXiv:2505.06135 -
Arkaprabha Ganguli,
Nesar Ramachandra,
Julie Bessac
and
Emil Constantinescu
Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets
Under review at Springer Machine Learning
In preparation
-
Pi-Yueh Chuang,
Patrick Barry,
Ian Cloët
and
Emil Constantinescu
Event-Level Analysis for Deep Inelastic Scattering