Cover Image

Capsule Neural Networks as Noise Stabilizer for Time Series Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Soyeon, Seong, Jihyeon, Han, Hyunkyung, Choi, Jaesik
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram Classification
by: Han, Hyunkyung, et al.
Published: (2024)

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
by: Seong, Jihyeon, et al.
Published: (2024)

Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
by: Seong, Jihyeon, et al.
Published: (2024)

DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction
by: Menadjiev, Enver, et al.
Published: (2026)

Rethinking Random Masking in Self-Distillation on ViT
by: Seong, Jihyeon, et al.
Published: (2025)

xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
by: Stitsyuk, Artyom, et al.
Published: (2024)

Optimal path for Biomedical Text Summarization Using Pointer GPT
by: Han, Hyunkyung, et al.
Published: (2024)

Conditional Temporal Neural Processes with Covariance Loss
by: Yoo, Boseon, et al.
Published: (2025)

Pathwise Explanation of ReLU Neural Networks
by: Lim, Seongwoo, et al.
Published: (2025)

Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution
by: Kim, Soyeon, et al.
Published: (2026)

Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution
by: Kim, Soyeon, et al.
Published: (2026)

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
by: Chang, Wonjoon, et al.
Published: (2023)

Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection
by: Jo, Hayoung, et al.
Published: (2024)

On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Networks
by: Park, Seongjin, et al.
Published: (2022)

Channel-wise Retrieval for Multivariate Time Series Forecasting
by: Kang, Junhyeok, et al.
Published: (2026)

Time Scale Network: A Shallow Neural Network For Time Series Data
by: Meyer, Trevor, et al.
Published: (2023)

One-Cycle Structured Pruning via Stability-Driven Subnetwork Search
by: Ghimire, Deepak, et al.
Published: (2025)

Identifying the Source of Generation for Large Language Models
by: Park, Bumjin, et al.
Published: (2024)

State-Covering Trajectory Stitching for Diffusion Planners
by: Lee, Kyowoon, et al.
Published: (2025)

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
by: Lee, Kyowoon, et al.
Published: (2025)

Multimodal Forecasting for Commodity Prices Using Spectrogram-Based and Time Series Representations
by: Park, Soyeon, et al.
Published: (2026)

Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation
by: Kim, Youngjoong, et al.
Published: (2026)

Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information
by: Joung, Youngju, et al.
Published: (2025)

RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data
by: Choi, Tae-Min, et al.
Published: (2020)

Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks
by: September, Marcus A. K., et al.
Published: (2023)

Training Robust Graph Neural Networks by Modeling Noise Dependencies
by: In, Yeonjun, et al.
Published: (2025)

Transparent Networks for Multivariate Time Series
by: Kim, Minkyu, et al.
Published: (2024)

Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing
by: Lee, Sewoong, et al.
Published: (2023)

Adaptive Information Routing for Multimodal Time Series Forecasting
by: Seo, Jun, et al.
Published: (2025)

Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction
by: Mau, Jarrod, et al.
Published: (2024)

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark
by: Kim, Suyeon, et al.
Published: (2025)

Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
by: Oh, YongKyung, et al.
Published: (2024)

Neural Likelihood Approximation for Integer Valued Time Series Data
by: O'Loughlin, Luke, et al.
Published: (2023)

Structured Noise Modeling for Enhanced Time-Series Forecasting
by: Koohfar, Sepideh
Published: (2025)

LoCO: Low-rank Compositional Rotation Fine-tuning
by: Nguyen, An, et al.
Published: (2026)

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
by: Choi, Yoonhyuk, et al.
Published: (2025)

Stable Prediction of Adverse Events in Medical Time-Series Data
by: Keoliya, Mayank, et al.
Published: (2025)

Progressive Neural Network for Multi-Horizon Time Series Forecasting
by: Lin, Yang
Published: (2023)

Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration
by: Choi, Benjamin J., et al.
Published: (2025)

Adaptive Branch Specialization in Spectral-Spatial Graph Neural Networks for Certified Robustness
by: Choi, Yoonhyuk, et al.
Published: (2025)