:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Ming, Deyu, Williamson, Daniel
Formato:	Preprint
Publicado:	2026
Materias:	Computation
Acceso en línea:	https://arxiv.org/abs/2603.24538
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Deep Gaussian Process Emulation with gradient Information and Sequential Design for Simulators with Sharp Variations
por: Yang, Yiming, et al.
Publicado: (2025)

Deep Gaussian Process Emulation and Uncertainty Quantification for Large Computer Experiments
por: Yazdi, Faezeh, et al.
Publicado: (2024)

RobustGaSP: Robust Gaussian Stochastic Process Emulation in R
por: Gu, Mengyang, et al.
Publicado: (2018)

Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
por: Viti, Bruno, et al.
Publicado: (2024)

Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs
por: Pan, Qilong, et al.
Publicado: (2025)

Scalable Gaussian Process Inference with Stan
por: Hoffmann, Till, et al.
Publicado: (2023)

Scalable Network Emulation on Analog Neuromorphic Hardware
por: Arnold, Elias, et al.
Publicado: (2024)

Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes
por: Septiandri, Ali Akbar, et al.
Publicado: (2025)

Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
por: Polson, Nick, et al.
Publicado: (2026)

Accelerating Posterior sampling for Scalable Gaussian Process model
por: Zhou, Zhihao
Publicado: (2025)

Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations
por: Pan, Qilong, et al.
Publicado: (2024)

Self-Supervised Learning with Gaussian Processes
por: Duan, Yunshan, et al.
Publicado: (2025)

Neural Geometry Processing via Spherical Neural Surfaces
por: Romy Williamson, et al.
Publicado: (2025)

Scalable Deep Basis Kernel Gaussian Processes
por: Zhu, Yunqin, et al.
Publicado: (2025)

Toward Scalable Docker-Based Emulations of Blockchain Networks for Research and Development
por: Pennino, Diego, et al.
Publicado: (2024)

Markov Chain Monte Carlo with Gaussian Process Emulation for a 1D Hemodynamics Model of CTEPH
por: Kachabi, Amirreza, et al.
Publicado: (2024)

Sparse Techniques for Regression in Deep Gaussian Processes
por: Latz, Jonas, et al.
Publicado: (2025)

stCEG: An R Package for Modelling Events over Spatial Areas Using Chain Event Graphs
por: Calley, Hollie, et al.
Publicado: (2025)

AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning
por: Li, Zhuoying, et al.
Publicado: (2024)

Pixel-to-4D: Camera-Controlled Image-to-Video Generation with Dynamic 3D Gaussians
por: de Almeida, Melonie, et al.
Publicado: (2026)

Deep Gaussian Process Priors for Bayesian Image Reconstruction
por: Latz, Jonas, et al.
Publicado: (2024)

Neural Geometry Processing via Spherical Neural Surfaces
por: Williamson, Romy, et al.
Publicado: (2024)

Emulating the Global Change Analysis Model with Deep Learning
por: Holmes, Andrew, et al.
Publicado: (2024)

The Double Emulator
por: Crilly, Conor, et al.
Publicado: (2024)

Flows and Diffusions on the Neural Manifold
por: Saragih, Daniel, et al.
Publicado: (2025)

Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers
por: Gattiglio, Guglielmo, et al.
Publicado: (2024)

Emulating Clinician Cognition via Self-Evolving Deep Clinical Research
por: Ren, Ruiyang, et al.
Publicado: (2026)

Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration
por: Fu, Jiahong, et al.
Publicado: (2023)

Sequential Inference for Gaussian Processes: A Signal Processing Perspective
por: Waxman, Daniel, et al.
Publicado: (2026)

Learning to Reason via Program Generation, Emulation, and Search
por: Weir, Nathaniel, et al.
Publicado: (2024)

Enhancing Underwater Light Field Images via Global Geometry-aware Diffusion Process
por: Lin, Yuji, et al.
Publicado: (2026)

Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation
por: Zhang, Linhai, et al.
Publicado: (2025)

Upper Bounds for Symmetric Approximate Bounded Indistinguishability
por: Williamson, Christopher
Publicado: (2026)

BlockEmulator: An Emulator Enabling to Test Blockchain Sharding Protocols
por: Huang, Huawei, et al.
Publicado: (2023)

Layout-Guided Controllable Pathology Image Generation with In-Context Diffusion Transformers
por: Shou, Yuntao, et al.
Publicado: (2026)

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
por: Lin, Chenguo, et al.
Publicado: (2025)

Maya: Optimizing Deep Learning Training Workloads using GPU Runtime Emulation
por: Yarlagadda, Srihas, et al.
Publicado: (2025)

HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising
por: Wang, Qizhou, et al.
Publicado: (2023)

A Noncontact Technique for Wave Measurement Based on Thermal Stereography and Deep Learning
por: Li, Deyu, et al.
Publicado: (2024)

Deep Feature Gaussian Processes for Single-Scene Aerosol Optical Depth Reconstruction
por: Liu, Shengjie, et al.
Publicado: (2024)