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Aligning structured data is a fundamental problem in computer vision and machine learning, underlying tasks such as time series analysis, human action recognition, and visual representation learning. Existing alignment methods, including…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Lei Wang , Syuan-Hao Li , Yongsheng Gao , Piotr Koniusz

Drift diffusion models (DDMs) have found widespread use in computational neuroscience and other fields. They model evidence accumulation in simple decision tasks as a stochastic process drifting towards a decision barrier. In models where…

Methodology · Statistics 2025-12-12 Sicheng Liu , Alexander Fengler , Michael J. Frank , Matthew T. Harrison

Our hypothesis is that UDA using diffusion-weighted images, generated with a unified model, offers a promising and reliable strategy for enhancing the performance of supervised learning models in multi-site prostate lesion detection,…

A study of interaction of neutron rich oxygen isotopes $^{17,18}$O with light targets has been undertaken in order to determine the optical potentials needed for the transfer reaction $^{13}$C($^{17}$O,$^{18}$O)$^{12}$C. Optical potentials…

Nuclear Experiment · Physics 2015-06-19 T. Al-Abdullah , F. Carstoiu , C. A. Gagliardi , G. Tabacaru , L. Trache , R. E. Tribble

[Background] Proton-induced knockout reactions of the form $(p,pN)$ have experienced a renewed interest in recent years due to the possibility of performing these measurements with rare isotopes, using inverse kinematics. Several…

Nuclear Theory · Physics 2018-02-21 K. Yoshida , M. Gómez-Ramos , K. Ogata , A. M. Moro

$Background:$ The determination of the nuclear neutron properties suffers from uncontrolled uncertainties, which attracted considerable attention recently, such as in the context of the PREX experiment. $Purpose:$ Our aim is to analyze the…

Nuclear Theory · Physics 2022-11-30 Jian Liu , Yunsheng Wang , Yonghao Gao , Pawel Danielewicz , Chang Xu , Zhongzhou Ren

The adiabatic connection fluctuation-dissipation theorem with the random phase approximation (RPA) has recently been applied with success to obtain correlation energies of a variety of chemical and solid state systems. The main merit of…

Materials Science · Physics 2015-03-20 Thomas Olsen , Kristian S. Thygesen

It was first noted during the 1970s that finite-range distorted wave Born approximation (FR-DWBA) calculations were unable satisfactorily to describe the shape of the angular distributions of many single-proton (and some single-neutron)…

Nuclear Experiment · Physics 2020-07-28 N. Keeley , K. W. Kemper , K. Rusek

Angular distributions of 7Li(7Li,t), (7Li,alpha) and (7Li,6He) reactions were measured for laboratory energies from 2 - 16 MeV. Exact finite range DWBA analyses were performed with the aim to identify contributions of direct processes and…

Nuclear Experiment · Physics 2011-09-15 P. Rosenthal , H. Freiesleben , B. Gehrmann , I. Gotzhein , K. W. Potthast , B. Kamys , Z. Rudy

The goal of this work is to establish on firm grounds a theory for deuteron induced neutron capture reactions. This includes formulating elastic and inelastic breakup in a consistent manner. We describe this process both in post and prior…

Nuclear Theory · Physics 2015-08-21 Gregory Potel Aguilar , Filomena M. Nunes , Ian J. Thompson

Background: In the last year we have been exploring the effect of the explicit inclusion of nonlocality in (d,p) reactions. Purpose: The goal of this work is to extend previous studies to (d,n) reactions, which, although similar to (d,p),…

Nuclear Theory · Physics 2016-08-03 A. Ross , L. J. Titus , F. M. Nunes

The density weighted average derivative (DWAD) of a regression function is a canonical parameter of interest in economics. Classical first-order large sample distribution theory for kernel-based DWAD estimators relies on tuning parameter…

Econometrics · Economics 2024-02-16 Matias D. Cattaneo , Max H. Farrell , Michael Jansson , Ricardo Masini

A new dispersion (asymptotic) theory is proposed for the peripheral sub- and above-barrier charged particle transfer $A(x,y)B$ reaction in the three-body ($A$, $a$ and $y$) model where $ x= y +a$ and $B=A+a$, and $ a$ is a transferred…

Nuclear Theory · Physics 2020-04-03 R. Yarmukhamedov , K. I. Tursunmakhatov

The $\Lambda$-hypernucleus production by $A(p, pK^+)_{\Lambda}B$ reactions is investigated within the framework of the distorted wave impulse approximation(DWIA). The amplitude for the elementary process is evaluated in a fully covariant…

Nuclear Theory · Physics 2008-05-10 Hantao Jing , Pengnian Shen , Huanching Chiang

Within the framework of the relativistic distorted wave impulse approximation (DWIA), we investigate the sensitivity of complete sets of polarization transfer observables for exclusive proton knockout from the 3s$_{1/2}$, 2d$_{3/2}$ and…

Nuclear Theory · Physics 2008-11-26 G. C. Hillhouse , J. Mano , S. M. Wyngaardt , B. I. S. van der Ventel , T. Noro , K. Hatanaka

For many machine learning algorithms, two main assumptions are required to guarantee performance. One is that the test data are drawn from the same distribution as the training data, and the other is that the model is correctly specified.…

Machine Learning · Computer Science 2020-02-03 Kun Kuang , Ruoxuan Xiong , Peng Cui , Susan Athey , Bo Li

Alpha elastic scattering angular distributions of the 106Cd(alpha,alpha)106Cd reaction were measured at three energies around the Coulomb barrier to provide a sensitive test for the alpha + nucleus optical potential parameter sets.…

Theoretical models of the (d,p) reaction are exploited for both nuclear astrophysics and spectroscopic studies in nuclear physics. Usually, these reaction models use local optical model potentials to describe the nucleon- and…

Nuclear Theory · Physics 2017-03-08 G. W. Bailey , N. K. Timofeyuk , J. A. Tostevin

The electroweak diboson production cross-sections are known to receive large radiative corrections beyond leading-order (LO), approaching up to 60% at next-to-leading order (NLO), compared to the scale uncertainties which are in the range…

High Energy Physics - Phenomenology · Physics 2014-11-05 Prerit Jaiswal

Uncertainty calibration in pre-trained transformers is critical for their reliable deployment in risk-sensitive applications. Yet, most existing pre-trained transformers do not have a principled mechanism for uncertainty propagation through…