Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
Tamed Stochastic Gradient Hamiltonian Monte Carlo
arXiv:2607.14862v1 Announce Type: cross Abstract: In this paper, we propose a novel tamed stochastic gradient Hamiltonian Monte Carlo (tSGHMC) algorithm for sampling and stochastic optimization problems with superlinearl…
Measuring Spatial Clustering via Metropolis-Hastings Diffusion Distance
arXiv:2607.14880v1 Announce Type: cross Abstract: We propose a novel measure of the discrepancy between two probability distributions $f$ and $g$ on a graph - which we call the diffusion distance - that measures the rate…
Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction
arXiv:2607.14894v1 Announce Type: cross Abstract: Plug-and-play proximal gradient descent (PnP-PGD) enables flexible image reconstruction by using denoisers as implicit priors. In practice, these denoisers are often depl…
Finite-Dimensional Feedback Stabilization of Nonautonomous Stochastic Parabolic Equations
arXiv:2607.14911v1 Announce Type: cross Abstract: We investigate finite-dimensional feedback stabilization for nonlinear nonautonomous stochastic parabolic equations driven by $Q$-Wiener, covering both additive and multi…
Optimal Design for Generalized Progressive Hybrid Censored Data via Constrained, Unconstrained, Compound, and Minimax Optimization
arXiv:2607.14926v1 Announce Type: cross Abstract: This paper studies the optimal design of Type-I generalized progressive hybrid censoring schemes for life-testing experiments. The design problem involves simultaneously …
Optimal Self-Distillation for Rectified Flow via Linear Probing
arXiv:2607.14947v1 Announce Type: cross Abstract: Modern generative models are increasingly trained using model-generated signals, creating both opportunities for self-improvement and risks of collapse. We study optimal …
LQCDMaster: Agentic Scientific Computing for Lattice Quantum Chromodynamics Research
arXiv:2607.15001v1 Announce Type: cross Abstract: Lattice quantum chromodynamics (LQCD) provides a first-principles framework for computing hadronic observables, but its practical use remains limited by the substantial e…
cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data
arXiv:2607.15018v1 Announce Type: cross Abstract: High-dimensional categorical data arise in genetics, biomedicine, and the social sciences, yet visualization tools for such data remain far less developed than those for …
ESAR: Event-Based Synthetic Aperture Reconstruction
arXiv:2607.15073v1 Announce Type: cross Abstract: Event cameras report asynchronous polarity events when changes in log--radiance exceed a fixed contrast threshold, producing signed temporal contrast measurements rather …
The order of long rainbow arithmetic progressions
arXiv:2607.15116v1 Announce Type: cross Abstract: Let $T_k$ be the minimum positive integer $t$ such that, for every positive integer $n$, every equinumerous $t$-coloring of $[tn]$ contains a rainbow $k$-term arithmetic …
Modular-CAPA-Based Communication Systems: Joint Activation and Beamforming Design
arXiv:2607.15148v1 Announce Type: cross Abstract: A modular continuous aperture array (CAPA)-based multi-user communication system is investigated, where only a portion of the aperture, namely sub-CAPAs, is activated to …
Superadditivity for Entanglement-Assisted Communication
arXiv:2607.15151v1 Announce Type: cross Abstract: The entanglement-assisted capacity of a quantum channel admits an additive single-letter characterization, implying that joint encodings across channel uses cannot increa…
LDGM-Based Quantum Codes for Fault-Tolerant Quantum Computation
arXiv:2607.15159v1 Announce Type: cross Abstract: We construct a new family of Calderbank-Shor-Steane (CSS) codes using the generator and parity-check matrices of Low-Density Generator Matrix (LDGM) codes, with row opera…
SciPhy Reinforcement Learning for Portfolio Optimization
arXiv:2607.15195v1 Announce Type: cross Abstract: This paper introduces a dynamic portfolio optimization framework for large institutional investors using Scientific Physics-Informed Reinforcement Learning (SciPhyRL). Fo…
Subjective Risk Decomposition: A New View for Uncertainty Quantification
arXiv:2607.15196v1 Announce Type: cross Abstract: We present a novel viewpoint for uncertainty quantification. Uncertainty measures are not primitives, in need of axioms and argumentation, but instead consequences, of hi…
SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings
arXiv:2607.15198v1 Announce Type: cross Abstract: We introduce the REAL-TSE Challenge, an IEEE SLT 2026 satellite challenge on target speaker extraction~(TSE) from real conversational recordings. Given a multi-speaker mi…
Delocalization of bias in unadjusted Hamiltonian Monte Carlo and underdamped Langevin
arXiv:2607.15208v1 Announce Type: cross Abstract: Unadjusted samplers such as unadjusted Hamiltonian Monte Carlo and underdamped Langevin are well-known to be biased. Metropolis--Hastings adjustment has been conventional…
Stochastic binary networks with asymmetric and time-delayed interactions
arXiv:2607.15215v1 Announce Type: cross Abstract: Stochastic binary networks are widely used to describe collective dynamics in complex systems and to perform neuromorphic computation, yet realistic networks often contai…
What does the model actually see? Evaluation protocols and input availability in data-driven prediction of room acoustic parameters
arXiv:2607.15243v1 Announce Type: cross Abstract: Machine-learnt models are increasingly used to predict ISO 3382-1 room acoustic parameters from sparse measurements, with reported coefficients of determination frequentl…
Analytic finite-rank corrections for singularly weighted estimates in a computer-assisted proof of 3D Euler singularity
arXiv:2607.15256v1 Announce Type: cross Abstract: Computer-assisted proofs of self-similar singularity formation for fluid equations often rely on numerically constructed approximate profiles. One effective approach to e…