1.6k citations
- C. Touramanis2 profiles45 · h 67
- F. Ferrarotto2 profiles44 · h 53
- G. Rizzo2 profiles44 · h 49
- L. Vitale2 profiles44 · h 0
- M. Ebert2 profiles44 · h 55
- M. Piccolo2 profiles44 · h 57
- R. Cenci2 profiles44 · h 94
- R. Stroili2 profiles44 · h 62
- V. Santoro2 profiles44 · h 45
- E. Paoloni2 profiles43 · h 51
- L. Lanceri2 profiles43 · h 47
- B. Echenard2 profiles42 · h 42
- University at Albany, State University of New YorkUS113 papers
- University of California, BerkeleyUS61 papers
- Lawrence Berkeley National LaboratoryUS60 papers
- University of Maryland, College ParkUS60 papers
- SLAC National Accelerator LaboratoryUS59 papers
- Lawrence Livermore National LaboratoryUS58 papers
- University of Wisconsin–MadisonUS58 papers
- Stanford UniversityUS56 papers
- University of LiverpoolGB53 papers
- University of California, RiversideUS51 papers
- University of California, Santa BarbaraUS51 papers
- University of EdinburghGB51 papers
131 papers
Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory
Siqi Chen, Zhiqiang Wang, Yili Shen +8
Mechanistic understanding and rational design of complex chemical systems depend on fast and accurate predictions of electronic structures beyond individual building blocks. Howeve…
In Bad Faith: Assessing Discussion Quality on Social Media
Celia Chen, Alex Leitch, William Jordan Conway +9
The quality of a user's social media experience is determined both by the content they see and by the quality of the conversation and interaction around it. In this paper, we look…
Is the diurnal pattern sufficient to explain intraday variation in volatility? A nonparametric assessment
Kim Christensen, Ulrich Hounyo, Mark Podolskij
In this paper, we propose a nonparametric way to test the hypothesis that time-variation in intraday volatility is caused solely by a deterministic and recurrent diurnal pattern. W…
Using language models to label clusters of scientific documents
Dakota Murray, Chaoqun Ni, Weiye Gu +1
Automated label generation for clusters of scientific documents is a common task in bibliometric workflows. Traditionally, labels were formed by concatenating distinguishing charac…
Towards mono-energetic virtual beam cross-section measurements: A feasibility study of -Ar interaction analysis with DUNE-PRISM
DUNE Collaboration, S. Abbaslu, A. Abed Abud +1321
Neutrino-nucleus cross-section measurements are critical for future neutrino oscillation analyses. However, our models to describe them require further refinement, and a deeper und…
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
Tianrun Yu, Jiaqi Wang, Haoyu Wang +4
Collaborative fairness is a crucial challenge in federated learning. However, existing approaches often overlook a practical yet complex form of heterogeneity: imbalanced covariate…