Copertina

OpenEM: Large-scale multi-structural 3D datasets for electromagnetic methods

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Shuang, Wang, Xuben, Deng, Fei, Jiang, Peifan, Chen, Jian, Fiandaca, Gianluca
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
di: Jiang, Peifan, et al.
Pubblicazione: (2024)

Interpretable Deep Learning Paradigm for Airborne Transient Electromagnetic Inversion
di: Wang, Shuang, et al.
Pubblicazione: (2025)

SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction
di: Wang, Shuang, et al.
Pubblicazione: (2024)

SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
di: Wang, Shuang, et al.
Pubblicazione: (2025)

EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network
di: Wang, Bin, et al.
Pubblicazione: (2024)

DREMnet: An Interpretable Denoising Framework for Semi-Airborne Transient Electromagnetic Signal
di: Wang, Shuang, et al.
Pubblicazione: (2025)

WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion
di: Wang, Bin, et al.
Pubblicazione: (2024)

Airborne EM survey data for 3D EM-IP inversion
di: Chen, Jian, et al.
Pubblicazione: (2025)

MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation
di: Wang, Beibei, et al.
Pubblicazione: (2025)

A systematic dataset generation technique applied to data-driven automotive aerodynamics
di: Benjamin, Mark, et al.
Pubblicazione: (2024)

OPFData: Large-scale datasets for AC optimal power flow with topological perturbations
di: Lovett, Sean, et al.
Pubblicazione: (2024)

Focusing Robot Open-Ended Reinforcement Learning Through Users' Purposes
di: Cartoni, Emilio, et al.
Pubblicazione: (2025)

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies
di: Chen, Runnan, et al.
Pubblicazione: (2024)

A practical PINN framework for multi-scale problems with multi-magnitude loss terms
di: Wang, Yong, et al.
Pubblicazione: (2023)

AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds
di: Wang, Qizhou, et al.
Pubblicazione: (2025)

How to set AdamW's weight decay as you scale model and dataset size
di: Wang, Xi, et al.
Pubblicazione: (2024)

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
di: Zhang, Zhicheng, et al.
Pubblicazione: (2025)

Smiles2Dock: an open large-scale multi-task dataset for ML-based molecular docking
di: Menestrel, Thomas Le, et al.
Pubblicazione: (2024)

MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models
di: Huang, Zimeng, et al.
Pubblicazione: (2025)

Assessing the performance of correlation-based multi-fidelity neural emulators
di: Villatoro, Cristian J., et al.
Pubblicazione: (2025)

Kriging via variably scaled kernels
di: Audone, Gianluca, et al.
Pubblicazione: (2026)

3D-GPT: Procedural 3D Modeling with Large Language Models
di: Sun, Chunyi, et al.
Pubblicazione: (2023)

Gains: Fine-grained Federated Domain Adaptation in Open Set
di: Zhong, Zhengyi, et al.
Pubblicazione: (2025)

A high-accuracy multi-model mixing retrosynthetic method
di: Xiang, Shang, et al.
Pubblicazione: (2024)

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
di: Zhang, Tongtong, et al.
Pubblicazione: (2024)

Open-CRB: Towards Open World Active Learning for 3D Object Detection
di: Chen, Zhuoxiao, et al.
Pubblicazione: (2023)

IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose
di: Ren, Fei, et al.
Pubblicazione: (2024)

MolPILE -- large-scale, diverse dataset for molecular representation learning
di: Adamczyk, Jakub, et al.
Pubblicazione: (2025)

TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks
di: Chen, Qian, et al.
Pubblicazione: (2025)

FlattenQuant: Breaking Through the Inference Compute-bound for Large Language Models with Per-tensor Quantization
di: Zhang, Yi, et al.
Pubblicazione: (2024)

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation
di: Tribel, Pascal, et al.
Pubblicazione: (2024)

SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote Sensing
di: Wang, Bin, et al.
Pubblicazione: (2024)

MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets
di: Oufattole, Nassim, et al.
Pubblicazione: (2024)

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
di: Deng, Fei, et al.
Pubblicazione: (2024)

Domain adaptation in small-scale and heterogeneous biological datasets
di: Orouji, Seyedmehdi, et al.
Pubblicazione: (2024)

Large Generative Model Assisted 3D Semantic Communication
di: Jiang, Feibo, et al.
Pubblicazione: (2024)

OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles
di: Wang, Yuhang, et al.
Pubblicazione: (2025)

Multi-Layer GRPO: Enhancing Reasoning and Self-Correction in Large Language Models
di: Ding, Fei, et al.
Pubblicazione: (2025)

SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search
di: Zhu, Guanghui, et al.
Pubblicazione: (2024)

Disentangled Condensation for Large-scale Graphs
di: Xiao, Zhenbang, et al.
Pubblicazione: (2024)