In this paper, we propose MA-DV2F: Multi-Agent Dynamic Velocity Vector Field. It is a framework for simultaneously controlling a group of vehicles in challenging environments. DV2F is generated for each vehicle indepe...
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In this work, we investigate causal learning of independent causal mechanisms (ICMs) from a Bayesian perspective. Confirming previous claims from the literature, we show in a didactically accessible manner that unlabe...
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The capacity of large language models (LLMs) to understand and distinguish socially unacceptable texts enables them to play a promising role in abusive language detection. However, various factors can affect their sen...
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Factor analysis is a statistical technique that explains correlations among observed random variables with the help of a smaller number of unobserved factors. In traditional full factor analysis, each observed variabl...
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作者：
Bidhi VijaywargiaDepartment of Physics
& Center for Quantum Information Computation and Communication Indian Institute of Technology Madras Chennai 600036 India
Quantum channels describe subsystem or open-system evolution. Using the classical Koopman operator that evolves functions on phase space, four classical Koopman channels are identified as analogs of the four possible ...
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Quantum channels describe subsystem or open-system evolution. Using the classical Koopman operator that evolves functions on phase space, four classical Koopman channels are identified as analogs of the four possible quantum channels in a bipartite setting. Thus, when the complete evolution has a quantum-classical correspondence, the correspondence at the level of the subunitary channels can be studied. The channels, both classical and quantum, can be interpreted as noisy single-particle systems. Having parallel classical and quantum operators gives us new access to study the fine details of these major limiting theories. Using a coupled kicked rotor as a generic example, we contrast and compare spectra of the quantum and classical channels. The largest nontrivial mode of the quantum channel is seen to be mostly determined by the stable parts of the classical phase space, even those that are surprisingly small relative to the scale of an effective ℏ. In cases where the dynamics have a significant fraction of chaos, the spectrum exhibits a prominent annular density, which is approximately described by the single-ring theorem of random matrix theory. The ring shrinks in size when the classical limit is approached. However, the eigenvalues and modes that survive the classical limit appear to be scarred by unstable manifolds or, if they exist, stable periodic orbits.
We discuss and analyze the virtual element method on general polygonal meshes for the time-dependent Poisson-Nernst-Planck(PNP)equations,which are a nonlinear coupled system widely used in semiconductors and ion *** p...
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We discuss and analyze the virtual element method on general polygonal meshes for the time-dependent Poisson-Nernst-Planck(PNP)equations,which are a nonlinear coupled system widely used in semiconductors and ion *** presenting the semi-discrete scheme,the optimal H1 norm error estimates are presented for the time-dependent PNP equations,which are based on some error estimates of a virtual element energy *** Gummel iteration is used to decouple and linearize the PNP equations and the error analysis is also given for the iteration of fully discrete virtual element *** numerical experiment on different polygonal meshes verifies the theoretical convergence results and shows the efficiency of the virtual element method.
Traditional von Neumann computing, with physical separation of memory and processing units, cannot satisfy the development of artificial intelligence and cloud computing. Neuromorphic computing, inspired by the human ...
Traditional von Neumann computing, with physical separation of memory and processing units, cannot satisfy the development of artificial intelligence and cloud computing. Neuromorphic computing, inspired by the human brain, has drawn much ***-optical neuromorphic (AON) devices employ optical signals as information carriers and leverage the neuromorphic functions to implement fast operation speed, low energy consumption, and high bandwidth of neuromorphic computing. Here, we discuss the recent progress in AON devices, including materials, device performance, working mechanisms, and applications. Moreover,the advantages and limitations of AON are presented and discussed. Finally, the perspective of AON devices points out the future research direction of neuromorphic computing.
Finding deletion-correcting codes of maximum size has been an open problem for over 70 years, even for a single deletion. In this paper, we propose a novel approach for constructing deletion-correcting codes. A code i...
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A safe and trustworthy use of Large Language Models (LLMs) requires an accurate expression of confidence in their answers. We introduce a novel Reinforcement Learning (RL) approach for LLM calibration that fine-tunes ...
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Mobile edge computing (MEC) considerably enhances the capabilities and performance of connected autonomous vehicles (CAVs) by deploying edge servers (ESs) on roadside units (RSUs) near CAVs, thereby ensuring low-laten...
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