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arXiv:2602.03317v1 Announce Type: cross Abstract: Quantitative imaging methods, such as magnetic resonance fingerprinting (MRF), aim to extract interpretable pathology biomarkers by estimating biophysical tissue parameters...
arXiv:2602.03325v1 Announce Type: cross Abstract: This paper proposes a machine learning-based framework for asset selection and portfolio construction, termed the Best-Path Algorithm Sparse Graphical Model...
arXiv:2602.03394v1 Announce Type: cross Abstract: Deep neural networks (DNNs) often produce overconfident out-of-distribution predictions, motivating Bayesian uncertainty quantification. The Linearized Laplace Approximation (LLA) achieves this...
arXiv:2602.03405v1 Announce Type: cross Abstract: Quantum generative models offer a novel approach to exploring high-dimensional Hilbert spaces but face significant challenges in scalability and expressibility...
arXiv:2602.03438v1 Announce Type: cross Abstract: The Non-equilibrium Green's function (NEGF) formalism is a particularly powerful method to simulate the quantum transport properties of nanoscale devices...
arXiv:2602.03449v1 Announce Type: cross Abstract: Score-based diffusion models are a recently developed framework for posterior sampling in Bayesian inverse problems with a state-of-the-art performance for...
arXiv:2602.03460v1 Announce Type: cross Abstract: We classify a family of matrices of shift operators that can be factorised in a computationally tractable manner with the...
arXiv:2602.03508v1 Announce Type: cross Abstract: It is intuitive and well known, that if agents in a multi-agent system iteratively update their states in the Euclidean...
arXiv:2602.03581v1 Announce Type: cross Abstract: In this paper, we investigate the low-complexity distributed combining scheme design for near-field cell-free extremely large-scale multiple-input-multiple-output (CF XL-MIMO) systems....
arXiv:2602.03590v1 Announce Type: cross Abstract: We study a distributed beamforming approach for cell-free massive multiple-input multiple-output networks, referred to as Global Statistics \& Local Instantaneous...
arXiv:2602.03612v1 Announce Type: cross Abstract: Graph generative modelling has become an essential task due to the wide range of applications in chemistry, biology, social networks,...
arXiv:2602.03613v1 Announce Type: cross Abstract: We analyze a lightweight simulation-based inference method that infers simulator parameters using only a regression-based projection of the observed data....
arXiv:2602.03624v1 Announce Type: cross Abstract: Objective: EEG-based methods can predict speech intelligibility, but their accuracy and robustness lag behind behavioral tests, which typically show test-retest...
arXiv:2602.03654v1 Announce Type: cross Abstract: Interacting particle systems provide a fundamental framework for modeling collective behavior in biological, social, and physical systems. In many applications,...
arXiv:2602.03682v1 Announce Type: cross Abstract: We analyze the Accelerated Noisy Power Method, an algorithm for Principal Component Analysis in the setting where only inexact matrix-vector...
arXiv:2602.03684v1 Announce Type: cross Abstract: The theory of point vortex dynamics has existed since Kirchhoff's proposal in 1891 and is still under development with connections...
arXiv:2602.03711v1 Announce Type: cross Abstract: Federated learning in vehicular edge networks faces major challenges in efficient resource allocation, largely due to high vehicle mobility and...
arXiv:2602.03718v1 Announce Type: cross Abstract: This paper proposes a narrowband fully-analog $N$-antenna transmitter that emulates the functionality of a narrowband fully-digital $N$-antenna transmitter. Specifically, in...
arXiv:2602.03725v1 Announce Type: cross Abstract: This paper explores advancements in quantum algorithms for derivative pricing of exotics, a computational pipeline of fundamental importance in quantitative...
arXiv:2602.03730v1 Announce Type: cross Abstract: Generative models trained using self-supervision of tokenized electronic health record (EHR) timelines show promise for clinical outcome prediction. This is...
arXiv:2602.03744v1 Announce Type: cross Abstract: Spectro-microscopy is an experimental technique which can be used to observe spatial variations in chemical state and changes in chemical...
arXiv:2602.03746v1 Announce Type: cross Abstract: In the study of infinite words, various notions of balancedness provide quantitative measures for how regularly letters or factors occur,...
arXiv:2602.03762v1 Announce Type: cross Abstract: Visually-guided acoustic highlighting seeks to rebalance audio in alignment with the accompanying video, creating a coherent audio-visual experience. While visual...
arXiv:2602.03776v1 Announce Type: cross Abstract: Modern generative models for limit order books (LOBs) can reproduce realistic market dynamics, but remain fundamentally passive: they either model...