Why is "Autoencoder" trending?

Search Interest Perspective

• An approach for detecting encrypted malware traffic via fully convolutional masked autoencoders - EurekAlert!
• A new hybrid model for improving outlier detection using combined autoencoder and variational autoencoder - Nature
• ProT-VAE: Protein Transformer Variational AutoEncoder for functional protein design - PNAS
• Software Defect Prediction using Autoencoder Transformer Model - Apple Machine Learning Research
• Feature importance guided autoencoder for dimensionality reduction in intrusion detection systems - Nature
• Quantum denoising autoencoder improves retinal fundus image quality for early diabetic retinopathy screening - Nature
• Convolutional autoencoder based condition monitoring system for unique complex technical systems - Nature
• AUTOENCODIX: a generalized and versatile framework to train and evaluate autoencoders for biological representation learning and beyond - Nature
• Anatomically-guided Masked Autoencoder with Domain-Adaptive Prompting (AMAP) for multimodal cerebral aneurysm detection and segmentation - Nature
• Anomaly detection in urban lighting systems using autoencoder and transformer algorithms - Nature
• ParkMAE: a cross-linguistic masked autoencoder framework for robust Parkinson’s disease detection from speech - Nature
• A performance analysis of convolutional autoencoder modified WaveGAN architectures for realistic 12 lead electrocardiogram synthesis - Nature
• Image encryption with 6D hyperchaotic system and vision transformer autoencoder - Nature
• PCF-VAE: posterior collapse free variational autoencoder for de novo drug design - Nature
• A hybrid stacked autoencoder and support vector machines-based expert system for heart failure detection - Nature
• Robust missing data reconstruction in schizophrenia using tracking-removed autoencoder with fuzzy confidence integration - Nature
• An autoencoder and vision transformer based interpretability analysis on the performance differences in automated staging of second and third molars - Nature
• An autoencoder driven deep learning geospatial approach to flood vulnerability analysis in the upper and middle basin of river Damodar | Scientific Reports - Nature
• Multi-view text classification through integrated RNN autoencoder learning of word, sentence, emotion and paragraph representations - Nature
• InterPLM: discovering interpretable features in protein language models via sparse autoencoders - Nature
• Enhanced sensing performance through the integration of denoising autoencoder and ensembling techniques - Nature
• Study of anomaly registration detection based on multilayer kernel autoencoder extreme learning machine model - Nature
• A deep learning framework with hybrid stacked sparse autoencoder for type 2 diabetes prediction - Nature
• Development of game theoretic hypergraph based autoencoder scheme for multiple objects tracking and anomaly detection for surveillance videos - Nature
• Novelty Detection In Rover-based Planetary Surface Images Using Autoencoders - astrobiology.com
• A machine learning approach using autoencoders to perform quality control on meteorological data - Cambridge University Press & Assessment
• AE-BPNN: autoencoder and backpropagation neural network-based model for lithium-ion battery state of health estimation - Nature
• Enhancing breast cancer classification using a deep sparse wavelet autoencoder approach - Nature
• Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization - Nature
• LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion - Nature
• Temporally consistent Koopman autoencoders for forecasting dynamical systems - Nature
• Reliability prediction using a weighted temporal convolutional autoencoder based on limited claim data - ScienceDirect.com
• New research decodes hidden bias in health care LLMs - Northeastern Global News
• Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Combine Them. - Towards Data Science
• Applying Autoencoder-Based GNNs for High-Throughput Network Anomaly Detection in NetFlow Data - NVIDIA Developer
• Discrete variational autoencoders for synthetic nighttime visible satellite imagery - Cambridge University Press & Assessment
• Variational Autoencoder With Gamma Mixture for Clustering High-Dimensional Right-Skewed Data - Wiley Online Library
• What Are Autoencoders? Introduction to Autoencoders in Deep Learning - Simplilearn.com
• Projection-based model-order reduction via graph autoencoders suited for unstructured meshes - Cambridge University Press & Assessment
• Industrial Internet of Things Cyber Threats Detection Through Deep Feature Learning and Stacked Sparse Autoencoder Based Classification - Wiley Online Library
• Inverse design of non-parameterized ventilated acoustic resonator via variational autoencoder with acoustic response-encoded latent space - ScienceDirect.com
• Boston University’s Sarah Milligan Launches First Comprehensive R Package Bringing Variational Autoencoders to Tabular Data | Rafik Hariri Institute for Computing and Computational Science & Engineering - Boston University
• Sparse autoencoders uncover biologically interpretable features in protein language model representations - PNAS
• Optimal Spectrum Sensing Framework for Cognitive Radio Networks Using Attention‐Based Autoencoder With Multi‐Scale Capsule Network - Rao - 2026 - International Journal of Communication Systems - Wiley Online Library
• Fidelity-driven Quantum Autoencoder Achieves Robust Fraud - Quantum Zeitgeist
• Restoration of multi-channel signal loss using autoencoder with recursive input strategy - Nature
• Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage - Nature
• Hybrid Quantum-Classical Autoencoders Match Classical - Quantum Zeitgeist
• Neural Architecture Search Automates Quantum Autoencoder - Quantum Zeitgeist
• Multi-channel masked autoencoder and comprehensive evaluations for reconstructing 12-lead ECG from arbitrary single-lead ECG - Nature
• Cross-modal autoencoder framework learns holistic representations of cardiovascular state - Nature
• Improving the explainability of autoencoder factors for commodities through forecast-based Shapley values - Nature
• Leveraging the variational Bayes autoencoder for survival analysis - Nature
• Photonic unsupervised learning variational autoencoder for high-throughput and low-latency image transmission - Science | AAAS
• Long short-term memory autoencoder based network of financial indices - Nature
• A multilayer deep autoencoder approach for cross layer IoT attack detection using deep learning algorithms - Nature
• Seq2Seq-based GRU autoencoder for anomaly detection and failure identification in coal mining hydraulic support systems - Nature
• Learning two-phase microstructure evolution using neural operators and autoencoder architectures - Nature
• ECG autoencoder based on low-rank attention - Nature
• Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis - Nature
• A tied-weight autoencoder for the linear dimensionality reduction of sample data - Nature
• Ensemble of feature augmented convolutional neural network and deep autoencoder for efficient detection of network attacks | Scientific Reports - Nature
• Autoencoder neural networks enable low dimensional structure analyses of microbial growth dynamics - Nature
• Bearing fault detection by using graph autoencoder and ensemble learning | Scientific Reports - Nature
• A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening - Nature
• Gold Price Predictions with LSTM-Autoencoder Hybrid Model - Bioengineer.org
• Predicting turbulent dynamics with the convolutional autoencoder echo state network - Cambridge University Press & Assessment
• Toward Interpretable Schizophrenia Detection from EEG Using Autoencoder and EfficientNet - medRxiv
• Masked Autoencoder Pretraining Improves Generalization for Distributed Acoustic Sensing Signals - Quantum Zeitgeist
• Elf autoencoder for unsupervised exploration of flat-band materials using electronic band structure fingerprints - Nature
• Variational autoencoder-based chemical latent space for large molecular structures with 3D complexity - Nature
• Graph-based autoencoder integrates spatial transcriptomics with chromatin images and identifies joint biomarkers for Alzheimer’s disease - Nature
• Physics-Informed Masked Autoencoder for active sparse imaging - Nature
• A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data - Nature
• Alignsae Achieves Concept-aligned Sparse Autoencoders, - Quantum Zeitgeist
• Few-shot traffic classification based on autoencoder and deep graph convolutional networks - Nature
• Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders - PNAS
• Quantum Generative Adversarial Autoencoders Achieve - Quantum Zeitgeist
• Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging - Nature
• Image processing with Optical matrix vector multipliers implemented for encoding and decoding tasks - Nature
• Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classification - Nature
• Deep Dive into Anthropic’s Sparse Autoencoders by Hand ✍️ - Towards Data Science
• Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet) - Nature
• Orientation-invariant autoencoders learn robust representations for shape profiling of cells and organelles - Nature
• β -Variational autoencoders and transformers for reduced-order modelling of fluid flows - Nature
• Hybrid autoencoder with orthogonal latent space for robust population structure inference - Nature
• Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery - Frontiers
• A multi-encoder variational autoencoder controls multiple transformational features in single-cell image analysis - Nature
• Autoencoder-based multimodal prediction of non-small cell lung cancer survival - Nature
• Deploy variational autoencoders for anomaly detection with TensorFlow Serving on Amazon SageMaker - Amazon Web Services
• Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks - Nature
• British Journal of Mathematical and Statistical Psychology | Wiley Online Library - Wiley
• Developing an Explainable Variational Autoencoder (VAE) Framework for Accurate Representation of Local Circulation in Taiwan - AGU Publications
• Fast and precise single-cell data analysis using a hierarchical autoencoder - Nature
• GenoDrawing: An Autoencoder Framework for Image Prediction from SNP Markers | Plant Phenomics - Science Partner Journals
• PAEDID: Patch Autoencoder-based Deep Image Decomposition for Unsupervised Anomaly Detection - Apple Machine Learning Research
• Variational autoencoder for design of synthetic viral vector serotypes - Nature
• Spiking Autoencoders With Temporal Coding - Frontiers
• DeepGeni: deep generalized interpretable autoencoder elucidates gut microbiota for better cancer immunotherapy - Nature
• An Oscillatory Neural Autoencoder Based on Frequency Modulation and Multiplexing - Frontiers