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Showing 770112 results for "spatial analysis"
Earth & Environmental Sciences Preprint PDF DOI

Meta-learning-enhanced implicit full waveform inversion

Huan Song, Shijun Cheng, Huanhuan Tang, Wei Ouyang, Weijian Mao ยท 2026

Implicit full waveform inversion (IFWI) introduces implicit neural representations to parameterize the subsurface velocity model as a continuous function of spatial coordinates, which alleviates the dโ€ฆ

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AI & Data Science Preprint PDF DOI

World2VLM: Distilling World Model Imagination into VLMs for Dynamic Spatial Reasoning

Wanyue Zhang, Wenxiang Wu, Wang Xu, Jiaxin Luo, Helu Zhi, Yibin Huang, Shuo Ren, Zitao Liu, Jiajun Zhang ยท 2026

Vision-language models (VLMs) have shown strong performance on static visual understanding, yet they still struggle with dynamic spatial reasoning that requires imagining how scenes evolve under egoceโ€ฆ

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Physics Preprint PDF DOI

Energy-Dependent Polarization Angle Variability as a Robust Diagnostic for Blazar Flaring Mechanisms

Haocheng Zhang, Benjamin de Jonge, Manel Errando, Xiaocan Li, Fan Guo ยท 2026

Identifying the physical mechanism driving blazar flares remains a central challenge in high-energy astrophysics. We show that the energy dependence of the standard deviation of the polarization angleโ€ฆ

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Biology & Life Sciences Preprint PDF DOI

Theory of adhesion-driven self-organisation in growing tissues

Carles Falco, Samuel W. S. Johnson, Mohit P. Dalwadi, Philip K. Maini ยท 2026

Cell invasion and spatial pattern formation are two distinct manifestations of cellular self-organisation in development, regeneration, and disease. Here, we develop and analyse a unified theoretical โ€ฆ

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Computer Science Preprint PDF DOI

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation

Yeheng Chen, Chaoxiang Xie, Yuling Shi, Wenhao Zeng, Yongpan Wang, Hongyu Zhang, Xiaodong Gu ยท 2026

LLMs have achieved strong results on both function-level code synthesis and repository-level code modification, yet a capability that falls between these two extremes -- compositional code creation, iโ€ฆ

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AI & Data Science Preprint PDF DOI

Color-Encoded Illumination for High-Speed Volumetric Scene Reconstruction

David Novikov, Eilon Vaknin, Narek Tumanyan, Mark Sheinin ยท 2026

The task of capturing and rendering 3D dynamic scenes from 2D images has become increasingly popular in recent years. However, most conventional cameras are bandwidth-limited to 30-60 FPS, restrictingโ€ฆ

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AI & Data Science Preprint PDF DOI

AnimateAnyMesh++: A Flexible 4D Foundation Model for High-Fidelity Text-Driven Mesh Animation

Zijie Wu, Chaohui Yu, Fan Wang, Xiang Bai ยท 2026

Recent advances in 4D content generation have attracted increasing attention, yet creating high-quality animated 3D models remains challenging due to the complexity of modeling spatio-temporal distribโ€ฆ

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Physics Preprint PDF DOI

Onset of superactivation of quantum capacity

Marco Parentin, Bjarne Bergh, Nilanjana Datta, Mark M. Wilde ยท 2026

Superactivation of quantum capacity is the phenomenon whereby two quantum channels, each with zero quantum capacity, can exhibit a strictly positive capacity when used in tandem. In this work, we explโ€ฆ

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Physics Preprint PDF DOI

Rethinking Nonlocality: Locality, Counterfactuals, and the EPR-Bell Argument

Partha Ghose ยท 2026

The widespread claim that violations of Bell inequalities establish the nonlocality of nature is critically reexamined. It is argued that this conclusion is not logically compelled by either the Einstโ€ฆ

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Physics Preprint PDF DOI

Testing Scale-Dependent Modified Gravity with DESI DR1

D. Gonzalez, G. Niz, A. Aviles, C. Garcia-Quintero, H.E. Noriega, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, A. de la Macorra, A. de Mattia, P. Doel, S. Ferraro, J. E. Forero-Romero, E. Gaztanaga, S. Gontcho A Gontcho, G. Gutierrez, C. Hahn, K. Honscheid, D. Huterer, M. Ishak, R. Joyce, S. Juneau, R. Kehoe, D. Kirkby, M. Landriau, L. Le Guillou, M. E. Levi, M. Manera, A. Meisner, R. Miquel, S. Nadathur, W.J. Percival, I. Perez-Rafols, G. Rossi, L. Samushia, E. Sanchez, D. Schlegel, H. Seo, J. Silber, D. Sprayberry, G. Tarle, B. A. Weaver, R. Zhou (DESI Collaboration) ยท 2026

The Dark Energy Spectroscopic Instrument (DESI) provides an unprecedented opportunity to test deviations from general relativity (GR) that introduce a new physical scale within its redshift range. Usiโ€ฆ

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Physics Preprint PDF DOI

Time-to-space ghost imaging with classical light

Nikita Solonovich, Chaoliang Ding, Polina P. Kuzhir, Tero Setala, Ari T. Friberg, Dmitri B. Horoshko ยท 2026

Ghost imaging uses two light beams correlated in the transverse position, time, or frequency to create an image of a spatial, temporal, or spectral object. We propose a scheme of time-to-space ghost iโ€ฆ

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Physics Preprint PDF DOI

Schwinger-Boson Mean-Field Study of the Anisotropic Kagome Antiferromagnet

Sankha Subhra Bakshi, Brandon B. Le, Seung-Hun Lee, Gia-Wei Chern ยท 2026

We investigate the effect of spatial exchange anisotropy on the spin-$1/2$ kagome antiferromagnet using Schwinger-boson mean-field theory. The anisotropy is introduced by strengthening the Heisenberg โ€ฆ

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Physics Preprint PDF DOI

Permutation Invariant Optimization Problems in Quantum Information Theory: A Framework for Channel Fidelity and Beyond

Bjarne Bergh, Marco Parentin ยท 2026

Exploiting permutation invariance to reduce the exponential scaling of semidefinite programs in quantum information has emerged as a powerful computational technique. In this work, we develop a systemโ€ฆ

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Mathematics Preprint PDF DOI

Global boundedness and asymptotic behavior of the chemotaxis system for Alopecia Areata with weakly singular sensitivity

Pengxue Xiang, Yuebo Cao, Hongying Yang ยท 2026

This paper considers the homogeneous Neumann initial-boundary value problem for Alopecia Areata chemotaxis model with weakly singular sensitivity. For any appropriately regular initial conditions,it iโ€ฆ

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Mathematics Preprint PDF DOI

Stochastic Scaling Limits and Synchronization by Noise in Deep Transformer Models

Andrea Agazzi, Giuseppe Bruno, Eloy Mosig Garcia, Samuele Saviozzi, Marco Romito ยท 2026

We prove pathwise convergence of the layerwise evolution of tokens in a finite-depth, finite-width transformer model with MultiLayer Perceptron (MLP) blocks to a continuous-time stochastic interactingโ€ฆ

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Computer Science Preprint PDF DOI

Hypencoder Revisited: Reproducibility and Analysis of Non-Linear Scoring for First-Stage Retrieval

Arne Eichholtz, Yongkang Li, Jutte Vijverberg, Tobias Groot, Mohammad Aliannejadi ยท 2026

The Hypencoder, proposed by Killingback et al., is a retrieval framework that replaces the fixed inner-product scoring function used in standard bi-encoders with a query-specific neural network (the $โ€ฆ

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Mathematics Preprint PDF DOI

Data assimilation for slightly compressible flow

Aytekin C{i}b{i}k, Rui Fang ยท 2026

Continuous data assimilation (CDA) nudges observational data into governing equations to recover the underlying flow and improve predictions. Existing rigorous CDA analyses focus primarily on incompreโ€ฆ

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Physics Preprint PDF DOI

Quantum scattering of droplets by wells and barriers in one-dimensional Bose-Bose mixtures

Sherzod R. Otajonov, Uktambek R. Eshimbetov, Bakhram A. Umarov, Fatkhulla Kh. Abdullaev ยท 2026

We investigate, both analytically and numerically, the scattering of quasi-one-dimensional quantum droplets from P\"oschl-Teller potential wells and barriers. For attractive wells, we find a sharp traโ€ฆ

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AI & Data Science Preprint PDF DOI

Graph-based Semantic Calibration Network for Unaligned UAV RGBT Image Semantic Segmentation and A Large-scale Benchmark

Fangqiang Fan, Zhicheng Zhao, Xiaoliang Ma, Chenglong Li, Jin Tang ยท 2026

Fine-grained RGBT image semantic segmentation is crucial for all-weather unmanned aerial vehicle (UAV) scene understanding. However, UAV RGBT semantic segmentation faces two coupled challenges: cross-โ€ฆ

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Physics Preprint PDF DOI

Bayesian component separation and power spectrum estimation for 21 cm intensity mapping data cubes

Geoff G. Murphy, Philip Bull, Mario G. Santos, Zheng Zhang, Steven Cunnington ยท 2026

Foreground removal remains an ongoing challenge in radio cosmology, and increasingly sensitive experiments necessitate more robust analysis techniques. In this work, we model simulated data from a sinโ€ฆ

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