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Model reparameterization is a widely accepted technique for improving inference speed without compromising performance. However, current Post-training Quantization (PTQ) methods often lead to significant accuracy degradation when applied to…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Luoming Zhang , Yefei He , Wen Fei , Zhenyu Lou , Weijia Wu , YangWei Ying , Hong Zhou

A restricted Boltzmann machine (RBM) is an undirected graphical model constructed for discrete or continuous random variables, with two layers, one hidden and one visible, and no conditional dependency within a layer. In recent years, RBMs…

Machine Learning · Statistics 2019-09-12 Andee Kaplan , Daniel Nordman , Stephen Vardeman

Diffusion-based models demonstrate impressive generation capabilities. However, they also have a massive number of parameters, resulting in enormous model sizes, thus making them unsuitable for deployment on resource-constraint devices.…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Avideep Mukherjee , Soumya Banerjee , Piyush Rai , Vinay P. Namboodiri

Context. The large quantity of high-quality asteroseismic data that obtained from space-based photometric missions and the accuracy of the resulting frequencies motivate a careful consideration of the accuracy of computed oscillation…

We present custom-processed UV, optical, and near-IR photometry for the RESOLVE survey, a volume-limited census of stellar, gas, and dynamical mass within two subvolumes of the nearby universe (RESOLVE-A and -B), complete down to baryonic…

Remote photoplethysmography (rPPG) is a non-contact method for detecting physiological signals based on facial videos, holding high potential in various applications. Due to the periodicity nature of rPPG signals, the long-range dependency…

Computer Vision and Pattern Recognition · Computer Science 2025-02-21 Bochao Zou , Zizheng Guo , Jiansheng Chen , Junbao Zhuo , Weiran Huang , Huimin Ma

This paper presents a RePaint-enhanced framework that integrates a pre-trained performance-guided denoising diffusion probabilistic model (DDPM) for performance- and parameter-constraint engineering design generation. The proposed method…

Machine Learning · Computer Science 2026-02-03 Ke Wang , Nguyen Gia Hien Vu , Yifan Tang , Mostafa Rahmani Dehaghani , G. Gary Wang

One of the common algorithms used to reconstruct photoacoustic (PA) images is the non-adaptive Delay-and-Sum (DAS) beamformer. However, the quality of the reconstructed PA images obtained by DAS is not satisfying due to its high level of…

Signal Processing · Electrical Eng. & Systems 2018-02-13 Roya Paridar , Moein Mozaffarzadeh , Mohammadreza Nasiriavanaki , Mahdi Orooji

A celebrated method for Variational Inequalities (VIs) is Extragradient (EG), which can be viewed as a standard discrete-time integration scheme. With this view in mind, in this paper we show that EG may suffer from discretization bias when…

Machine Learning · Computer Science 2026-05-08 Zhankun Luo , M. Berk Sahin , Antesh Upadhyay , Behzad Sharif , Abolfazl Hashemi

The second Gaia data release (DR2) delivers accurate and homogeneous photometry data of the whole sky to an exquisite quality, reaching down to the unprecedented milli-magnitude (mmag) level for the G, GRP, and GBP passbands. However, the…

Solar and Stellar Astrophysics · Physics 2021-03-10 Zexi Niu , Haibo Yuan , Jifeng Liu

The radial velocity catalog from the Apache Point Observatory Galactic Evolution Experiment (APOGEE) is unique in its simultaneously large volume and high precision as a result of its decade-long survey duration, multiplexing (600 fibers),…

Photoplethysmography (PPG) plays a crucial role in continuous cardiovascular health monitoring as a non-invasive and cost-effective modality. However, PPG signals are susceptible to motion artifacts and noise, making accurate estimation of…

Signal Processing · Electrical Eng. & Systems 2026-02-05 Shuntaro Suzuki , Shuitsu Koyama , Shinnosuke Hirano , Shunya Nagashima

We present a new modeling tool for planetary nebulae, based on 3D photoionization calculations. Our goal is to show that all the information provided by observations, regarding kinematics and morphology, have to be consistently accounted…

Astrophysics · Physics 2009-10-31 C. Morisset , R. Gruenwald , S. M. Viegas

The emergence of Retrieval-augmented generation (RAG) has alleviated the issues of outdated and hallucinatory content in the generation of large language models (LLMs), yet it still reveals numerous limitations. When a general-purpose LLM…

Computation and Language · Computer Science 2024-12-20 Jiayi Wu , Hengyi Cai , Lingyong Yan , Hao Sun , Xiang Li , Shuaiqiang Wang , Dawei Yin , Ming Gao

Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body's vital (life-sustaining) functions. BP is difficult to continuously monitor using a sphygmomanometer (i.e. a blood pressure cuff), especially in…

Machine Learning · Computer Science 2021-08-03 Ali Tazarv , Marco Levorato

Mixed modes observed in red giants allow for investigation of the stellar interior structures. One important feature in these structures is the buoyancy spike caused by the discontinuity of the chemical gradient left behind during the first…

Solar and Stellar Astrophysics · Physics 2022-07-27 Chen Jiang , Margarida Cunha , Joergen Christensen-Dalsgaard , Qiansheng Zhang , Laurent Gizon

In general relativity, when two black holes merge they produce a rotating (Kerr) black hole remnant. According to perturbation theory, the remnant emits "ringdown" radiation: a superposition of exponentials with characteristic complex…

General Relativity and Quantum Cosmology · Physics 2025-07-15 Mark Ho-Yeuk Cheung , Emanuele Berti , Vishal Baibhav , Roberto Cotesta

Remote photoplethysmography (rPPG) enables contactless vital sign monitoring using standard RGB cameras. However, existing methods rely on fixed parameters optimized for particular lighting conditions and camera setups, limiting…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Cecilia G. Morales , Fanurs Chi En Teh , Kai Li , Pushpak Agrawal , Artur Dubrawski

Reduced Order Models (ROMs) are of considerable importance in many areas of engineering in which computational time presents difficulties. Established approaches employ projection-based reduction such as Proper Orthogonal Decomposition,…

Numerical Analysis · Mathematics 2023-04-26 Thomas Simpson , Konstantinos Vlachas , Anthony Garland , Nikolaos Dervilis , Eleni Chatzi
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