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Models of biological systems often have many unknown parameters that must be determined in order for model behavior to match experimental observations. Commonly-used methods for parameter estimation that return point estimates of the…

Quantitative Methods · Quantitative Biology 2018-01-31 Sanjana Gupta , Liam Hainsworth , Justin S. Hogg , Robin E. C. Lee , James R. Faeder

We review several parallel tempering schemes and examine their main ingredients for accuracy and efficiency. The present study covers two selection methods of temperatures and several choices for the exchange of replicas, including a recent…

Statistical Mechanics · Physics 2015-06-16 A. Malakis , T. Papakonstantinou

Neural network models for dynamic systems can be trained either in parallel or in series-parallel configurations. Influenced by early arguments, several papers justify the choice of series-parallel rather than parallel configuration…

Systems and Control · Computer Science 2019-05-06 Antônio H. Ribeiro , Luis A. Aguirre

The usage of eye tracking sensors is expected to grow in virtual (VR) and augmented reality (AR) platforms. Provided that users of these platforms consent to employing captured eye movement signals for authentication and health assessment,…

Human-Computer Interaction · Computer Science 2020-07-21 Alex Karpov , Jacob Liberman , Dillon Lohr , Oleg Komogortsev

Nowadays, real-world applications often face streaming data, which requires the learning system to absorb new knowledge as data evolves. Continual Learning (CL) aims to achieve this goal and meanwhile overcome the catastrophic forgetting of…

Machine Learning · Computer Science 2024-04-24 Da-Wei Zhou , Hai-Long Sun , Jingyi Ning , Han-Jia Ye , De-Chuan Zhan

We introduce a Geometry of Interaction model for higher-order quantum computation, and prove its adequacy for a full quantum programming language in which entanglement, duplication, and recursion are all available. Our model comes with a…

Logic in Computer Science · Computer Science 2017-07-18 Ugo Dal Lago , Claudia Faggian , Benoit Valiron , Akira Yoshimizu

Method comparisons are essential to provide recommendations and guidance for applied researchers, who often have to choose from a plethora of available approaches. While many comparisons exist in the literature, these are often not neutral…

Methodology · Statistics 2022-12-07 Sarah Friedrich , Tim Friede

Tactile sensing has seen a rapid adoption with the advent of vision-based tactile sensors. Vision-based tactile sensors provide high resolution, compact and inexpensive data to perform precise in-hand manipulation and human-robot…

Robotics · Computer Science 2021-07-26 Arpit Agarwal , Tim Man , Wenzhen Yuan

The algorithm based on integration over Lefschetz thimbles is a promising method to resolve the sign problem for complex actions. However, this algorithm often meets a difficulty in actual Monte Carlo calculations because the configuration…

High Energy Physics - Lattice · Physics 2019-12-06 Masafumi Fukuma , Naoya Umeda

When approaching the continuum limit in lattice QCD or other theories in a setup with topological sectors, conventional update algorithms experience a particularly severe form of critical slowing down that is caused by high action barriers…

High Energy Physics - Lattice · Physics 2025-03-28 Timo Eichhorn , Gianluca Fuwa , Christian Hoelbling , Lukas Varnhorst

Simulated tempering is a widely used strategy for sampling from multimodal distributions. In this paper, we consider simulated tempering combined with an arbitrary local Markov chain Monte Carlo sampler and present a new decomposition…

Statistics Theory · Mathematics 2025-10-06 Jhanvi Garg , Krishna Balasubramanian , Quan Zhou

Sorting is one of the most fundamental problems in the field of computer science. With the rapid development of manycore processors, it shows great importance to design efficient parallel sort algorithm on manycore architecture. This paper…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-18 Tianyi Yu , Wei Li

In this paper we demonstrate that tempering Markov chain Monte Carlo samplers for Bayesian models by recursively subsampling observations without replacement can improve the performance of baseline samplers in terms of effective sample size…

Machine Learning · Statistics 2014-01-29 Jan-Willem van de Meent , Brooks Paige , Frank Wood

Parallel tempering Monte Carlo simulations have been applied to a variety of systems presenting rugged free-energy landscapes. Despite this, its efficiency depends strongly on the temperature set. With this query in mind, we present a…

Statistical Mechanics · Physics 2011-09-20 Carlos E. Fiore

The overall problem addressed in this paper is the long-standing problem of program correctness, and in particular programs that describe systems of parallel executing processes. We propose a new method for proving correctness of parallel…

Programming Languages · Computer Science 2023-02-10 Frank S. de Boer , Einar Broch Johnsen , Violet Ka I Pun , Silvia Lizeth Tapia Tarifa

Parallelization has become a cornerstone of modern computing, influencing everything from high performance supercomputers to everyday mobile devices. This paper presents a comprehensive guide on the fundamentals of parallelization that…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-08 Temitayo Adefemi

With the growing complexity and capability of contemporary robotic systems, the necessity of sophisticated computing solutions to efficiently handle tasks such as real-time processing, sensor integration, decision-making, and control…

Robotics · Computer Science 2025-09-09 Md Rafid Islam

This paper considers the inference of trends in multiple, nonstationary time series. To test whether trends are parallel to each other, we use a parallelism index based on the L2-distances between nonparametric trend estimators and their…

Methodology · Statistics 2015-03-17 David Degras , Zhiwei Xu , Ting Zhang , Wei Biao Wu

The integration of multiple viewpoints became an increasingly popular approach to deal with agent-based simulations. Despite their disparities, recent approaches successfully manage to run such multi-level simulations. Yet, are they doing…

Multiagent Systems · Computer Science 2017-03-08 Gildas Morvan , Yoann Kubera

This document outlines the development of numerous new theoretical approaches to model associating fluids. For a detailed abstract please see page ii.

Soft Condensed Matter · Physics 2014-05-09 B. D. Marshall
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