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To interpret uncertainty estimates from differentiable probabilistic models, recent work has proposed generating Counterfactual Latent Uncertainty Explanations (CLUEs). However, for a single input, such approaches could output a variety of…

Machine Learning · Computer Science 2021-12-06 Dan Ley , Umang Bhatt , Adrian Weller

The problem of improving the reliability of perturbative QCD predictions at moderate energies is considered. These predictions suffer from substantial renormalization scheme dependence, which is illustrated using as an example the QCD…

High Energy Physics - Phenomenology · Physics 2007-05-23 Piotr A. Raczka

The $\Delta$-scaling method has been applied to ultra-relativistic p+p, C+C and Pb+Pb collision data simulated using a high energy Monte Carlo package, LUCIAE 3.0. The $\Delta$-scaling is found to be valid for some physical variables, such…

We present AMADA, an interactive web application to analyse multidimensional datasets. The user uploads a simple ASCII file and AMADA performs a number of exploratory analysis together with contemporary visualizations diagnostics. The…

Instrumentation and Methods for Astrophysics · Physics 2019-08-13 Rafael S. de Souza , Benedetta Ciardi

Ontology-based data integration has been one of the practical methodologies for heterogeneous legacy database integrated service construction. However, it is neither efficient nor economical to build the cross-domain ontology on top of the…

Databases · Computer Science 2021-03-16 Yuanwei Zhao , Lan Huang , Bo Wang , Dongxu Zhang , Simone Bocca , Fausto Giunchiglia , Rui Zhang

We introduce a novel sensitivity analysis framework for large scale classification problems that can be used when a small number of instances are incrementally added or removed. For quickly updating the classifier in such a situation,…

Machine Learning · Statistics 2015-04-14 Shota Okumura , Yoshiki Suzuki , Ichiro Takeuchi

Blini is a tool for quick lookup of nucleotide sequences in databases, and for quick dereplication of sequence collections. It is meant to help clean and characterize large collections of assembled contigs or long sequences that would…

Quantitative Methods · Quantitative Biology 2025-11-26 Amit Lavon

Version incompatibility issues are rampant when reusing or reproducing deep learning models and applications. Existing techniques are limited to library dependency specifications declared in PyPI. Therefore, these techniques cannot detect…

Software Engineering · Computer Science 2023-08-29 Zhongkai Zhao , Bonan Kou , Mohamed Yilmaz Ibrahim , Muhao Chen , Tianyi Zhang

The numerical technique of Lattice QCD holds the promise of connecting the nuclear forces, nuclei, the spectrum and structure of hadrons, and the properties of matter under extreme conditions with the underlying theory of the strong…

Nuclear Theory · Physics 2015-06-23 Silas R. Beane , William Detmold , Kostas Orginos , Martin J. Savage

Qualitative data analysis is labor-intensive, yet the privacy risks associated with commercial Large Language Models (LLMs) often preclude their use in sensitive research. To address this, we introduce ChatQDA, an on-device framework…

Human-Computer Interaction · Computer Science 2026-02-23 Tung T. Ngo , Dai Nguyen Van , Anh-Minh Nguyen , Phuong-Anh Do , Anh Nguyen-Quoc

We present $\texttt{SIMULATeQCD}$, HotQCD's software for performing lattice QCD calculations on GPUs. Started in late 2017 and intended as a full replacement of the previous single GPU lattice QCD code used by the HotQCD collaboration, our…

The accuracies of modern quantum logic clocks have surpassed those of standard atomic fountain clocks. These clocks also provide a greater degree of control, because before and after clock queries, we are able to apply chosen unitary…

Quantum Physics · Physics 2011-07-28 Michael Mullan , Emanuel Knill

We present MadAnalysis 5, a new framework for phenomenological investigations at particle colliders. Based on a C++ kernel, this program allows to efficiently perform, in a straightforward and user-friendly fashion, sophisticated physics…

High Energy Physics - Phenomenology · Physics 2013-01-22 Eric Conte , Benjamin Fuks , Guillaume Serret

Finite-temperature magnetism gives rise to many phenomena in alloy materials, such as magnetic phase transformations, short or medium range order in magnetic alloys, spin waves, critical phenomena, and the magnetocaloric effect. Lattice…

Materials Science · Physics 2025-06-24 Brian Blankenau , Tianyu Su , Namhoon Kim , Elif Ertekin

Retrieving relevant evidence from visually rich documents such as textbooks, technical reports, and manuals is challenging due to long context, complex layouts, and weak lexical overlap between user questions and supporting pages. We…

Information Retrieval · Computer Science 2026-03-31 Seonok Kim

Training effective Text-to-SQL models remains challenging due to the scarcity of high-quality, diverse, and structurally complex datasets. Existing methods either rely on limited human-annotated corpora, or synthesize datasets directly by…

Computation and Language · Computer Science 2026-01-09 Xuanguang Pan , Chongyang Tao , Jiayuan Bai , Jianling Gao , Zhengwei Tao , Xiansheng Zhou , Gavin Cheung , Shuai Ma

In order to allow different software applications, in constant evolution, to interact and exchange data, flexible file formats are needed. A file format specification for different types of content has been elaborated to allow communication…

Digital Libraries · Computer Science 2008-05-05 X. Gonze , C. -O. Almbladh , A. Cucca , D. Caliste , C. Freysoldt , M. A. L. Marques , V. Olevano , Y. Pouillon , M. J. Verstraete

C++ 98/03 already has a reputation for overwhelming complexity compared to other programming languages. The raft of new features in C++ 11/14 suggests that the complexity in the next generation of C++ code bases will overwhelm still…

Programming Languages · Computer Science 2014-05-15 Niall Douglas

We develop an approach to incorporate additional knowledge, in the form of general purpose integrity constraints (ICs), to reduce uncertainty in probabilistic databases. While incorporating ICs improves data quality (and hence quality of…

Databases · Computer Science 2009-07-10 Naveen Ashish , Sharad Mehrotra , Pouria Pirzadeh

Diffusion models, widely recognized for their success in generative tasks, have not yet been applied to clustering. We introduce Clustering via Diffusion (CLUDI), a self-supervised framework that combines the generative power of diffusion…

Artificial Intelligence · Computer Science 2025-07-31 Roy Uziel , Irit Chelly , Oren Freifeld , Ari Pakman
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