Cover Image

MC-INR: Efficient Encoding of Multivariate Scientific Simulation Data using Meta-Learning and Clustered Implicit Neural Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Son, Hyunsoo, Noh, Jeonghyun, Jeon, Suemin, Wang, Chaoli, Jeong, Won-Ki
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation
by: Yang, Maizhe, et al.
Published: (2025)

XROps: A Visual Workflow Management System for Dynamic Immersive Analytics
by: Jeon, Suemin, et al.
Published: (2025)

Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification
by: Koh, GaYeon, et al.
Published: (2025)

Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior
by: Lee, Kyungryun, et al.
Published: (2024)

Compressive Modeling and Visualization of Multivariate Scientific Data using Implicit Neural Representation
by: Dwivedi, Abhay Kumar, et al.
Published: (2025)

Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation
by: Chen, Hanqiu, et al.
Published: (2024)

I-INR: Iterative Implicit Neural Representations
by: Haider, Ali, et al.
Published: (2025)

Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration
by: Chen, Yi-Tang, et al.
Published: (2025)

FA-INR: Adaptive Implicit Neural Representations for Interpretable Exploration of Simulation Ensembles
by: Li, Ziwei, et al.
Published: (2025)

TabINR: An Implicit Neural Representation Framework for Tabular Data Imputation
by: Ochs, Vincent, et al.
Published: (2025)

SegINR: Segment-wise Implicit Neural Representation for Sequence Alignment in Neural Text-to-Speech
by: Kim, Minchan, et al.
Published: (2024)

QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation
by: Zhou, Wenyong, et al.
Published: (2025)

COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
by: Thennakoon, Pandula, et al.
Published: (2025)

F-INR: Functional Tensor Decomposition for Implicit Neural Representations
by: Vemuri, Sai Karthikeya, et al.
Published: (2025)

Dual Interaction Network with Cross-Image Attention for Medical Image Segmentation
by: Noh, Jeonghyun, et al.
Published: (2025)

Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals
by: Cai, Zhicheng
Published: (2024)

SketchINR: A First Look into Sketches as Implicit Neural Representations
by: Bandyopadhyay, Hmrishav, et al.
Published: (2024)

RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations
by: Dummer, Sven, et al.
Published: (2023)

Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation
by: Chen, Hanqiu, et al.
Published: (2023)

WSI-INR: Implicit Neural Representations for Lesion Segmentation in Whole-Slide Images
by: Wu, Yunheng, et al.
Published: (2026)

ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets
by: Tang, Kaiyuan, et al.
Published: (2023)

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
by: Fang, Wei, et al.
Published: (2024)

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
by: Li, Mengxuan, et al.
Published: (2025)

Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models
by: Oh, Hyun-Jic, et al.
Published: (2024)

SL$^{2}$A-INR: Single-Layer Learnable Activation for Implicit Neural Representation
by: Heidari, Moein, et al.
Published: (2024)

FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss
by: Wei, Meiyi, et al.
Published: (2024)

REV-INR: Regularized Evidential Implicit Neural Representation for Uncertainty-Aware Volume Visualization
by: Saklani, Shanu, et al.
Published: (2026)

MINR: Efficient Implicit Neural Representations for Multi-Image Encoding
by: Zhou, Wenyong, et al.
Published: (2025)

StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation
by: Liu, Yi, et al.
Published: (2025)

INR-Bench: A Unified Benchmark for Implicit Neural Representations in Multi-Domain Regression and Reconstruction
by: Li, Linfei, et al.
Published: (2025)

Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV
by: Park, Hyoung Suk, et al.
Published: (2025)

WISE-FUSE: Efficient Whole Slide Image Encoding via Coarse-to-Fine Patch Selection with VLM and LLM Knowledge Fusion
by: Shin, Yonghan, et al.
Published: (2025)

KP-INR: A Dual-Branch Implicit Neural Representation Model for Cardiac Cine MRI Reconstruction
by: Lyu, Donghang, et al.
Published: (2025)

QSMnet-INR: Single-Orientation Quantitative Susceptibility Mapping via Implicit Neural Representation in k-Space
by: Cai, Xuan, et al.
Published: (2025)

SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution
by: Ekanayake, Mevan, et al.
Published: (2024)

A Comparative Study of Neural Surface Reconstruction for Scientific Visualization
by: Yao, Siyuan, et al.
Published: (2024)

Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics
by: Maiya, Shishira R, et al.
Published: (2024)

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

INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing
by: Abi-Karam, Stefan, et al.
Published: (2023)

Encoding Semantic Priors into the Weights of Implicit Neural Representation
by: Cai, Zhicheng, et al.
Published: (2024)