OpenEM: Large-scale multi-structural 3D datasets for electromagnetic methods
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Shuang, Wang, Xuben, Deng, Fei, Jiang, Peifan, Chen, Jian, Fiandaca, Gianluca |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
by: Jiang, Peifan, et al.
Published: (2024)
by: Jiang, Peifan, et al.
Published: (2024)
Interpretable Deep Learning Paradigm for Airborne Transient Electromagnetic Inversion
by: Wang, Shuang, et al.
Published: (2025)
by: Wang, Shuang, et al.
Published: (2025)
SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction
by: Wang, Shuang, et al.
Published: (2024)
by: Wang, Shuang, et al.
Published: (2024)
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
by: Wang, Shuang, et al.
Published: (2025)
by: Wang, Shuang, et al.
Published: (2025)
EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network
by: Wang, Bin, et al.
Published: (2024)
by: Wang, Bin, et al.
Published: (2024)
DREMnet: An Interpretable Denoising Framework for Semi-Airborne Transient Electromagnetic Signal
by: Wang, Shuang, et al.
Published: (2025)
by: Wang, Shuang, et al.
Published: (2025)
WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion
by: Wang, Bin, et al.
Published: (2024)
by: Wang, Bin, et al.
Published: (2024)
Airborne EM survey data for 3D EM-IP inversion
by: Chen, Jian, et al.
Published: (2025)
by: Chen, Jian, et al.
Published: (2025)
MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation
by: Wang, Beibei, et al.
Published: (2025)
by: Wang, Beibei, et al.
Published: (2025)
A systematic dataset generation technique applied to data-driven automotive aerodynamics
by: Benjamin, Mark, et al.
Published: (2024)
by: Benjamin, Mark, et al.
Published: (2024)
OPFData: Large-scale datasets for AC optimal power flow with topological perturbations
by: Lovett, Sean, et al.
Published: (2024)
by: Lovett, Sean, et al.
Published: (2024)
Focusing Robot Open-Ended Reinforcement Learning Through Users' Purposes
by: Cartoni, Emilio, et al.
Published: (2025)
by: Cartoni, Emilio, et al.
Published: (2025)
OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies
by: Chen, Runnan, et al.
Published: (2024)
by: Chen, Runnan, et al.
Published: (2024)
A practical PINN framework for multi-scale problems with multi-magnitude loss terms
by: Wang, Yong, et al.
Published: (2023)
by: Wang, Yong, et al.
Published: (2023)
AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds
by: Wang, Qizhou, et al.
Published: (2025)
by: Wang, Qizhou, et al.
Published: (2025)
How to set AdamW's weight decay as you scale model and dataset size
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
by: Zhang, Zhicheng, et al.
Published: (2025)
by: Zhang, Zhicheng, et al.
Published: (2025)
Smiles2Dock: an open large-scale multi-task dataset for ML-based molecular docking
by: Menestrel, Thomas Le, et al.
Published: (2024)
by: Menestrel, Thomas Le, et al.
Published: (2024)
MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models
by: Huang, Zimeng, et al.
Published: (2025)
by: Huang, Zimeng, et al.
Published: (2025)
Assessing the performance of correlation-based multi-fidelity neural emulators
by: Villatoro, Cristian J., et al.
Published: (2025)
by: Villatoro, Cristian J., et al.
Published: (2025)
Kriging via variably scaled kernels
by: Audone, Gianluca, et al.
Published: (2026)
by: Audone, Gianluca, et al.
Published: (2026)
3D-GPT: Procedural 3D Modeling with Large Language Models
by: Sun, Chunyi, et al.
Published: (2023)
by: Sun, Chunyi, et al.
Published: (2023)
Gains: Fine-grained Federated Domain Adaptation in Open Set
by: Zhong, Zhengyi, et al.
Published: (2025)
by: Zhong, Zhengyi, et al.
Published: (2025)
A high-accuracy multi-model mixing retrosynthetic method
by: Xiang, Shang, et al.
Published: (2024)
by: Xiang, Shang, et al.
Published: (2024)
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
by: Zhang, Tongtong, et al.
Published: (2024)
by: Zhang, Tongtong, et al.
Published: (2024)
Open-CRB: Towards Open World Active Learning for 3D Object Detection
by: Chen, Zhuoxiao, et al.
Published: (2023)
by: Chen, Zhuoxiao, et al.
Published: (2023)
IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose
by: Ren, Fei, et al.
Published: (2024)
by: Ren, Fei, et al.
Published: (2024)
MolPILE -- large-scale, diverse dataset for molecular representation learning
by: Adamczyk, Jakub, et al.
Published: (2025)
by: Adamczyk, Jakub, et al.
Published: (2025)
TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks
by: Chen, Qian, et al.
Published: (2025)
by: Chen, Qian, et al.
Published: (2025)
FlattenQuant: Breaking Through the Inference Compute-bound for Large Language Models with Per-tensor Quantization
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation
by: Tribel, Pascal, et al.
Published: (2024)
by: Tribel, Pascal, et al.
Published: (2024)
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote Sensing
by: Wang, Bin, et al.
Published: (2024)
by: Wang, Bin, et al.
Published: (2024)
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets
by: Oufattole, Nassim, et al.
Published: (2024)
by: Oufattole, Nassim, et al.
Published: (2024)
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
by: Deng, Fei, et al.
Published: (2024)
by: Deng, Fei, et al.
Published: (2024)
Domain adaptation in small-scale and heterogeneous biological datasets
by: Orouji, Seyedmehdi, et al.
Published: (2024)
by: Orouji, Seyedmehdi, et al.
Published: (2024)
Large Generative Model Assisted 3D Semantic Communication
by: Jiang, Feibo, et al.
Published: (2024)
by: Jiang, Feibo, et al.
Published: (2024)
OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles
by: Wang, Yuhang, et al.
Published: (2025)
by: Wang, Yuhang, et al.
Published: (2025)
Multi-Layer GRPO: Enhancing Reasoning and Self-Correction in Large Language Models
by: Ding, Fei, et al.
Published: (2025)
by: Ding, Fei, et al.
Published: (2025)
SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search
by: Zhu, Guanghui, et al.
Published: (2024)
by: Zhu, Guanghui, et al.
Published: (2024)
Disentangled Condensation for Large-scale Graphs
by: Xiao, Zhenbang, et al.
Published: (2024)
by: Xiao, Zhenbang, et al.
Published: (2024)
Similar Items
-
3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
by: Jiang, Peifan, et al.
Published: (2024) -
Interpretable Deep Learning Paradigm for Airborne Transient Electromagnetic Inversion
by: Wang, Shuang, et al.
Published: (2025) -
SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction
by: Wang, Shuang, et al.
Published: (2024) -
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
by: Wang, Shuang, et al.
Published: (2025) -
EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network
by: Wang, Bin, et al.
Published: (2024)