Image de couverture de livre

DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Faysal, Atik, Boushine, Taha, Rostami, Mohammad, Roshan, Reihaneh Gh., Wang, Huaxia, Muralidhar, Nikhil, Sahoo, Avimanyu, Yao, Yu-Dong
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches
par: Faysal, Atik, et autres
Publié: (2025)

Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data
par: Faysal, Atik, et autres
Publié: (2026)

NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication
par: Faysal, Atik, et autres
Publié: (2024)

Plug-and-Play AMC: Context Is King in Training-Free, Open-Set Modulation with LLMs
par: Rostami, Mohammad, et autres
Publié: (2025)

Large Language Models Can Perform Automatic Modulation Classification via Discretized Self-supervised Candidate Retrieval
par: Rostami, Mohammad, et autres
Publié: (2025)

Finetune-Informed Pretraining Boosts Downstream Performance
par: Faysal, Atik, et autres
Publié: (2026)

Meta-Task: A Method-Agnostic Framework for Learning to Regularize in Few-Shot Learning
par: Rostami, Mohammad, et autres
Publié: (2024)

SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning
par: Bouhsine, Taha, et autres
Publié: (2024)

CageDroneRF: A Large-Scale RF Benchmark and Toolkit for Drone Perception
par: Rostami, Mohammad, et autres
Publié: (2026)

Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
par: Hossen, Md Sazzad, et autres
Publié: (2026)

A Novel Online Pseudospectral Method for Approximation of Nonlinear Systems Dynamics
par: Yousefian, Arian, et autres
Publié: (2025)

Social-MAE: A Transformer-Based Multimodal Autoencoder for Face and Voice
par: Bohy, Hugo, et autres
Publié: (2025)

DeltaDeno: Zero-Shot Anomaly Generation via Delta-Denoising Attribution
par: Xu, Chaoran, et autres
Publié: (2025)

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
par: Wang, Xinghao, et autres
Publié: (2024)

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection
par: Ni, Kang, et autres
Publié: (2025)

DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR Images
par: Dai, Yimian, et autres
Publié: (2024)

RIS-MAE: A Self-Supervised Modulation Classification Method Based on Raw IQ Signals and Masked Autoencoder
par: Liu, Yunfei, et autres
Publié: (2025)

MultiMAE-DER: Multimodal Masked Autoencoder for Dynamic Emotion Recognition
par: Xiang, Peihao, et autres
Publié: (2024)

MU-MAE: Multimodal Masked Autoencoders-Based One-Shot Learning
par: Liu, Rex, et autres
Publié: (2024)

In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
par: Occhipinti, Edoardo, et autres
Publié: (2024)

MAE-GAN: A Novel Strategy for Simultaneous Super-resolution Reconstruction and Denoising of Post-stack Seismic Profile
par: Yu, Wenshuo, et autres
Publié: (2024)

Federated Split Learning for Human Activity Recognition with Differential Privacy
par: Ndeko, Josue, et autres
Publié: (2024)

Queen Domination by SAT Solving
par: Rostami, Taha, et autres
Publié: (2025)

R-MAE: Regions Meet Masked Autoencoders
par: Nguyen, Duy-Kien, et autres
Publié: (2023)

CL-MAE: Curriculum-Learned Masked Autoencoders
par: Madan, Neelu, et autres
Publié: (2023)

Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks
par: Cai, Yuliang, et autres
Publié: (2024)

PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals
par: Pandey, Saurav R., et autres
Publié: (2024)

The Prompt is Mightier than the Example
par: Xu, Shengzhe, et autres
Publié: (2025)

BRepMAE: Self-Supervised Masked BRep Autoencoders for Machining Feature Recognition
par: Yao, Can, et autres
Publié: (2026)

Kurtosis-Guided Denoising Score Matching for Tabular Anomaly Detection
par: Livernoche, Victor, et autres
Publié: (2026)

SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
par: Liang, Feng, et autres
Publié: (2022)

DailyMAE: Towards Pretraining Masked Autoencoders in One Day
par: Wu, Jiantao, et autres
Publié: (2024)

PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
par: Zhang, Xiangdong, et autres
Publié: (2024)

MV2MAE: Multi-View Video Masked Autoencoders
par: Shah, Ketul, et autres
Publié: (2024)

i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
par: Zhang, Kevin, et autres
Publié: (2022)

T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning
par: Wei, Weijie, et autres
Publié: (2023)

Regulating Cryptocurrency and Decentralized Finance for an Inclusive Economy
par: Muralidhar, Amrutha, et autres
Publié: (2024)

Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay
par: Rostami, Mohammad
Publié: (2024)

Unsupervised Domain Adaptation Using Compact Internal Representations
par: Rostami, Mohammad
Publié: (2024)

USF-MAE: Ultrasound Self-Supervised Foundation Model with Masked Autoencoding
par: Megahed, Youssef, et autres
Publié: (2025)