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200 papers

A common goal in comparative effectiveness research is to estimate treatment effects on pre-specified subpopulations of patients. Though widely used in medical research, causal inference methods for such subgroup analysis remain…

Driven by the vision of everyday haptics, the HCI community is advocating for "design touch first" and investigating "how to touch well." However, a gap remains between the exploratory nature of haptic design and technical reproducibility.…

Human-Computer Interaction · Computer Science 2025-04-01 Ran Zhou , Jianru Ding , Chenfeng Gao , Wanli Qian , Benjamin Erickson , Madeline Balaam , Daniel Leithinger , Ken Nakagaki

We introduce SuperLFV, a numerical tool for calculating low-energy observables that exhibit charged lepton flavor violation (LFV) in the context of the minimal supersymmetric standard model (MSSM). As the Large Hadron Collider and MEG, a…

High Energy Physics - Phenomenology · Physics 2015-06-15 Brandon Murakami

We use unitarity and analyticity of scattering amplitudes to constrain fermionic operators in the standard model effective field theory. For four-fermion operators at mass dimension 8, we scatter flavor superpositions in fixed standard…

High Energy Physics - Phenomenology · Physics 2021-09-02 Grant N. Remmen , Nicholas L. Rodd

In the field of affective computing, where research continually advances at a rapid pace, the demand for user-friendly tools has become increasingly apparent. In this paper, we present the AffectToolbox, a novel software system that aims to…

Human-Computer Interaction · Computer Science 2024-02-26 Silvan Mertes , Dominik Schiller , Michael Dietz , Elisabeth André , Florian Lingenfelser

Determining proper quantities for ingredients is an essential part of cooking practice from the perspective of enriching tastiness and promoting healthiness. We introduce KitchenScale, a fine-tuned Pre-trained Language Model (PLM) that…

Computation and Language · Computer Science 2023-04-24 Donghee Choi , Mogan Gim , Samy Badreddine , Hajung Kim , Donghyeon Park , Jaewoo Kang

We present SAInT, a Python-based tool for visually exploring and understanding the behavior of Machine Learning (ML) models through integrated local and global sensitivity analysis. Our system supports Human-in-the-Loop (HITL) workflows by…

Machine Learning · Computer Science 2025-08-07 Manuela Schuler

Precision flavor experiments can look for the QCD axion complementarily to usual searches with axion helio- and haloscopes, allowing to test PQ breaking scales as high as $10^{12} \, {\rm GeV}$. Such searches are sensitive to…

High Energy Physics - Phenomenology · Physics 2019-05-06 Robert Ziegler

In the era of gravitational-wave astronomy, general-relativistic simulations of compact objects play a role of paramount importance. These calculations can be performed with the Einstein Toolkit, an open-source and community-supported…

General Relativity and Quantum Cosmology · Physics 2021-04-20 Gabriele Bozzola

I present EOS, an open-source software dedicated to a variety of tasks in the processing of flavor physics observables. EOS is written in C++ and offers both a C++ and a Python interface. It is developed for three main tasks, the production…

High Energy Physics - Phenomenology · Physics 2022-12-19 Méril Reboud

We present an open source Python library for simulating overlapping (i.e., blended) images of galaxies and performing self-consistent comparisons of detection and deblending algorithms based on a suite of metrics. The package, named…

We study thermodynamic properties of 2+1 flavor QCD applying the Small Flow-time eXpansion (SFtX) method based on the gradient flow. The method provides us with a general way to compute correctly renormalized observables irrespective of…

High Energy Physics - Lattice · Physics 2019-10-30 Kazuyuki Kanaya , Atsushi Baba , Asobu Suzuki , Shinji Ejiri , Masakiyo Kitazawa , Hiroshi Suzuki , Yusuke Taniguchi , Takashi Umeda

In this paper, we present a nonlinear analysis software toolkit, which can help in biomechanical gait data analysis by implementing various nonlinear statistical analysis algorithms. The toolkit is proposed to tackle the need for an…

Emerging Technologies · Computer Science 2023-11-14 Shifat Sarwar , Aaron Likens , Nick Stergiou , Spyridon Mastorakis

Classical finite mixture regression is useful for modeling the relationship between scalar predictors and scalar responses arising from subpopulations defined by the differing associations between those predictors and responses. Here we…

Methodology · Statistics 2013-12-04 Adam Ciarleglio , R. Todd Ogden

Ordinal data are quite common in applied statistics. Although some model selection and regularization techniques for categorical predictors and ordinal response models have been developed over the past few years, less work has been done…

Methodology · Statistics 2024-07-26 Aisouda Hoshiyar , Laura H. Gertheiss , Jan Gertheiss

We describe SPICE: Simulation Package for Including Flavor in Collider Events. SPICE takes as input two ingredients: a standard flavor-conserving supersymmetric spectrum and a set of flavor-violating slepton mass parameters, both of which…

High Energy Physics - Phenomenology · Physics 2009-12-22 Guy Engelhard , Jonathan L. Feng , Iftah Galon , David Sanford , Felix Yu

We study lepton flavor models with the $S_4$ flavor symmetry. We construct simple models with smaller numbers of flavon fields and free parameters, such that we have predictions among lepton masses and mixing angles. The model with a $S_4$…

High Energy Physics - Phenomenology · Physics 2015-05-28 Hajime Ishimori , Tatsuo Kobayashi

A visualization notation is a recurring pattern of symbols used to author specifications of visualizations, from data transformation to visual mapping. Programmatic notations use symbols defined by grammars or domain-specific languages…

Human-Computer Interaction · Computer Science 2023-09-01 Nicolas Kruchten , Andrew M. McNutt , Michael J. McGuffin

The rapid advancements in Large Language Models (LLMs) have significantly expanded their applications, ranging from multilingual support to domain-specific tasks and multimodal integration. In this paper, we present OmniEvalKit, a novel…

Computation and Language · Computer Science 2024-12-10 Yi-Kai Zhang , Xu-Xiang Zhong , Shiyin Lu , Qing-Guo Chen , De-Chuan Zhan , Han-Jia Ye

Collaborative filtering analyzes user preferences for items (e.g., books, movies, restaurants, academic papers) by exploiting the similarity patterns across users. In implicit feedback settings, all the items, including the ones that a user…

Machine Learning · Statistics 2016-02-05 Dawen Liang , Laurent Charlin , James McInerney , David M. Blei