Copertina

Hybrid Neural Representations for Spherical Data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kim, Hyomin, Jang, Yunhui, Lee, Jaeho, Ahn, Sungsoo
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Signal Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Herglotz-NET: Implicit Neural Representation of Spherical Data with Harmonic Positional Encoding
di: Hanon, Théo, et al.
Pubblicazione: (2025)

A Simple and Scalable Representation for Graph Generation
di: Jang, Yunhui, et al.
Pubblicazione: (2023)

Shape-Aware Topological Representation for Pipeline Hyperbola Detection in GPR Data
di: Kang, Meiyan, et al.
Pubblicazione: (2025)

Improving Chemical Understanding of LLMs via SMILES Parsing
di: Jang, Yunhui, et al.
Pubblicazione: (2025)

Structural Reasoning Improves Molecular Understanding of LLM
di: Jang, Yunhui, et al.
Pubblicazione: (2024)

Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks
di: Lee, Dae-Hyeok, et al.
Pubblicazione: (2024)

Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
di: Nardi, Federico, et al.
Pubblicazione: (2024)

MT-Mol:Multi Agent System with Tool-based Reasoning for Molecular Optimization
di: Kim, Hyomin, et al.
Pubblicazione: (2025)

A Masked Representation Learning to Model Cardiac Functions Using Multiple Physiological Signals
di: Park, Seong-A, et al.
Pubblicazione: (2025)

Graph Generation with $K^2$-trees
di: Jang, Yunhui, et al.
Pubblicazione: (2023)

A Physics-Informed Neural Network-Based Approach for the Spatial Upsampling of Spherical Microphone Arrays
di: Miotello, Federico, et al.
Pubblicazione: (2024)

RIS-Assisted 3D Spherical Splatting for Object Composition Visualization using Detection Transformers
di: Sotiropoulos, Anastasios T., et al.
Pubblicazione: (2025)

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability
di: Alikhani, Sadjad, et al.
Pubblicazione: (2026)

Hybrid Quantum Neural Network based Indoor User Localization using Cloud Quantum Computing
di: Mittal, Sparsh, et al.
Pubblicazione: (2024)

Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
di: Jang, Hyosoon, et al.
Pubblicazione: (2024)

Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks
di: Dempsey, Ryan G., et al.
Pubblicazione: (2025)

Self-supervised New Activity Detection in Sensor-based Smart Environments
di: Kim, Hyunju, et al.
Pubblicazione: (2024)

Forecasting-based Biomedical Time-series Data Synthesis for Open Data and Robust AI
di: Lee, Youngjoon, et al.
Pubblicazione: (2025)

The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy Detection
di: Anghinoni, Luiz Antonio Nicolau, et al.
Pubblicazione: (2025)

Optimizing Neural Network Scale for ECG Classification
di: Lee, Byeong Tak, et al.
Pubblicazione: (2023)

Joint Data Inpainting and Graph Learning via Unrolled Neural Networks
di: Batreddy, Subbareddy, et al.
Pubblicazione: (2024)

Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
di: Lee, Cheol-Hui, et al.
Pubblicazione: (2025)

CHyLL: Learning Continuous Neural Representations of Hybrid Systems
di: Teng, Sangli, et al.
Pubblicazione: (2025)

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
di: Gueterbock, Finn, et al.
Pubblicazione: (2025)

Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
di: Furlong, Aidan, et al.
Pubblicazione: (2024)

Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series
di: Ahn, Seokho, et al.
Pubblicazione: (2024)

GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
di: Wang, Hanrui, et al.
Pubblicazione: (2020)

A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals
di: Lee, Cho-Yuan, et al.
Pubblicazione: (2024)

Learning Representations for CSI Adaptive Quantization and Feedback
di: Rizzello, Valentina, et al.
Pubblicazione: (2022)

Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation
di: Jang, Jonggyu, et al.
Pubblicazione: (2024)

Attention-aware Semantic Communications for Collaborative Inference
di: Im, Jiwoong, et al.
Pubblicazione: (2024)

NeuSaver: Neural Adaptive Power Consumption Optimization for Mobile Video Streaming
di: Park, Kyoungjun, et al.
Pubblicazione: (2021)

Pessimistic Backward Policy for GFlowNets
di: Jang, Hyosoon, et al.
Pubblicazione: (2024)

Representation and De-interleaving of Mixtures of Hidden Markov Processes
di: Bao, Jiadi, et al.
Pubblicazione: (2024)

ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions
di: Lee, Youngjoon, et al.
Pubblicazione: (2024)

Simulation-Enhanced Data Augmentation for Machine Learning Pathloss Prediction
di: Mohamed, Ahmed P., et al.
Pubblicazione: (2024)

Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection
di: Oelhaf, Julian, et al.
Pubblicazione: (2025)

Accelerating Battery Material Optimization through iterative Machine Learning
di: Lee, Seon-Hwa, et al.
Pubblicazione: (2025)

RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge
di: Lancho, Alejandro, et al.
Pubblicazione: (2024)

Study of Robust Direction Finding Based on Joint Sparse Representation
di: Li, Y., et al.
Pubblicazione: (2024)