Cover Image

TabINR: An Implicit Neural Representation Framework for Tabular Data Imputation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ochs, Vincent, Bieder, Florentin, Hadramy, Sidaty el, Friedrich, Paul, Taha-Mehlitz, Stephanie, Taha, Anas, Cattin, Philippe C.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration
by: Hadramy, Sidaty El, et al.
Published: (2025)

NOIR: Neural Operator mapping for Implicit Representations
by: Hadramy, Sidaty El, et al.
Published: (2026)

Modeling the Neonatal Brain Development Using Implicit Neural Representations
by: Bieder, Florentin, et al.
Published: (2024)

An analysis of virtual reality in abdominal surgery—A scoping review
by: Vincent Ochs, et al.
Published: (2024)

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation
by: Hollet, Nathan, et al.
Published: (2025)

Soft Tissue Simulation and Force Estimation from Heterogeneous Structures using Equivariant Graph Neural Networks
by: Kojanazarova, Madina, et al.
Published: (2025)

AutoFFS: Adversarial Deformations for Facial Feminization Surgery Planning
by: Friedrich, Paul, et al.
Published: (2026)

MedFuncta: A Unified Framework for Learning Efficient Medical Neural Fields
by: Friedrich, Paul, et al.
Published: (2025)

Conditional Graph Neural Network for Predicting Soft Tissue Deformation and Forces
by: Kojanazarova, Madina, et al.
Published: (2025)

WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis
by: Friedrich, Paul, et al.
Published: (2024)

Optimization-Based Calibration for Intravascular Ultrasound Volume Reconstruction
by: Beaudet, Karl-Philippe, et al.
Published: (2025)

A rare case of perianal alveolar rhabdomyosarcoma
by: Anas Taha, et al.
Published: (2024)

Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
by: Wolleb, Julia, et al.
Published: (2024)

fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting
by: Durrer, Alicia, et al.
Published: (2025)

DefSynUS: Real-time Patient-specific Intrahepatic Vessel Identification via Deformation-Aware CT-US Domain Adaptation
by: Beaudet, Karl-Philippe, et al.
Published: (2026)

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

VidFuncta: Towards Generalizable Neural Representations for Ultrasound Videos
by: Wolleb, Julia, et al.
Published: (2025)

Optimizing Rank for High-Fidelity Implicit Neural Representations
by: McGinnis, Julian, et al.
Published: (2025)

Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing
by: Bieder, Florentin, et al.
Published: (2023)

Towards MR-Based Trochleoplasty Planning
by: Wehrli, Michael, et al.
Published: (2025)

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

TabImpute: Universal Zero-Shot Imputation for Tabular Data
by: Feitelberg, Jacob, 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)

Towards Diagnostic Quality Flat-Panel Detector CT Imaging Using Diffusion Models
by: Corbaz, Hélène, 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)

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

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
by: Naour, Etienne Le, et al.
Published: (2023)

Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey
by: Taha, Kamal, et al.
Published: (2024)

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

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

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

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

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
by: Fang, Wei, 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)

Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery
by: Beaudet, Karl-Philippe, et al.
Published: (2024)

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

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data
by: Chen, Suiyao, et al.
Published: (2024)