autoencoders - Robuta Search

https://arxiv.org/abs/2307.16896 [2307.16896] Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image... Abstract page for arXiv paper 2307.16896: Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training low level https://arxiv.org/abs/2405.17283 [2405.17283] Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery Abstract page for arXiv paper 2405.17283: Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery recurrent complex weighted autoencoders unsupervised https://www.diva-portal.org/smash/record.jsf?pid=diva2:1352441 Botnet detection on flow data using the reconstruction error from Autoencoders trained on Word2Vec... DiVA portal is a finding tool for research publications and student theses written at the following universities and research institutions. https://sra.samsung.com/publications/himae-hierarchical-masked-autoencoders-discover-resolution-specific-structure-in-wearable-time-series/ HiMAE: Hierarchical masked autoencoders discover resolution-specific structure in wearable time... hierarchical masked autoencoders discover https://eo4society.esa.int/projects/image-compression-for-remote-sensing-using-vector-quantized-autoencoders-corsa/ IMAGE COMPRESSION FOR REMOTE SENSING USING VECTOR-QUANTIZED AUTOENCODERS (CORSA) - eo science for... Development of novel AI based clustering methods to support enhanced compression performance (time and information loss). The use of AI based methods to image compression remote sensing https://arxiv.org/abs/2503.17547 [2503.17547] Learning Multi-Level Features with Matryoshka Sparse Autoencoders Abstract page for arXiv paper 2503.17547: Learning Multi-Level Features with Matryoshka Sparse Autoencoders multi level learning features matryoshka sparse https://diff-ae.github.io/?ref=danmackinlay.name Diffusion Autoencoders: Toward a Meaningful and Decodable Representation diffusion autoencoders toward meaningful decodable https://arxiv.org/abs/2601.06478 [2601.06478] Deriving Decoder-Free Sparse Autoencoders from First Principles Abstract page for arXiv paper 2601.06478: Deriving Decoder-Free Sparse Autoencoders from First Principles decoder free sparse autoencoders first https://sdq.kastel.kit.edu/institutsseminar/Investigating_Variational_Autoencoders_and_Mixture_Density_Recurrent_Neural_Networks_for_Code_Coverage_Maximization Investigating Variational Autoencoders and Mixture Density Recurrent Neural Networks for Code... recurrent neural networks variational autoencoders investigating mixture https://amslaurea.unibo.it/id/eprint/19611/ Speech Analysis for Automatic Identification of Mild Cognitive Impairment through Autoencoders -... mild cognitive impairment speech analysis automatic identification https://arxiv.org/abs/2002.03843 [2002.03843] Anomaly Detection using Deep Autoencoders for in-situ Wastewater Systems Monitoring... Abstract page for arXiv paper 2002.03843: Anomaly Detection using Deep Autoencoders for in-situ Wastewater Systems Monitoring Data https://pure.psu.edu/en/publications/midia-exploring-denoising-autoencoders-for-missing-data-imputatio/ MIDIA: exploring denoising autoencoders for missing data imputation - Penn State missing data midia exploring denoising autoencoders https://rit.rakuten.com/publications/2018/deep-heterogeneous-autoencoders-for-collaborative-filtering/?tag=natural-language-processing Deep Heterogeneous Autoencoders for Collaborative Filtering | Publications | Rakuten Institute of... Our Japanese publications in computer science and AI, including Machine Learning, Deep Learning, Data Science, Computer Vision and Natural Language Processing. collaborative filtering deep heterogeneous autoencoders publications https://panford.github.io/posts/2013/08/blog-post-2/ Adversarial Autoencoders - Kobby Panford-Quainoo May 30, 2021 - Short Notes on Adversarial Autoencoders adversarial autoencoders https://arxiv.org/abs/2012.03448 [2012.03448] Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems Abstract page for arXiv paper 2012.03448: Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems variational autoencoders for learning nonlinear dynamics https://mediaserver.unige.ch/play/143776 Mediaserver - dlc-video-7-2-autoencoders Mediaserver - dlc-video-7-2-autoencoders mediaserver dlc video autoencoders https://impact.ornl.gov/en/publications/nonlinear-by-linear-guaranteeing-error-bounds-in-compressive-auto/ Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders - Oak Ridge National... https://publica.fraunhofer.de/entities/publication/a1001f35-becf-4bf0-80b8-d9f296cc1827 Can Masked Autoencoders Also Listen to Birds? Masked Autoencoders (MAEs) learn rich representations in audio classification through an efficient self-supervised reconstruction task. Yet, general-purpose... listen to masked autoencoders also birds https://www.utwente.nl/en/eemcs/dmb/assignments/open/master/Machine%20Learning/20211108-decoding-emg-using-autoencoders/ Decoding EMG using Autoencoders | Machine Learning | EEMCS - DMB machine learning decoding emg using autoencoders https://nrc-digital-repository.canada.ca/fra/voir/objet/?id=111e4e68-4fbb-4671-9012-f80e8f791b52 VNFlow: integration of variational autoencoders and normalizing flows for novel molecular design -... VNFlow: integration of variational autoencoders and normalizing flows for novel molecular design variational autoencoders https://histodiffusion.github.io/docs/projects/pathae/ Pathology Image Compression with Pre-trained Autoencoders | Generative models for Histopatholgy image compression generative models pathology https://pubmed.ncbi.nlm.nih.gov/33398153/ Improved metagenome binning and assembly using deep variational autoencoders Despite recent advances in metagenomic binning, reconstruction of microbial species from metagenomics data remains challenging. Here we develop variational... improved metagenome binning assembly using https://huggingface.co/collections/madebyollin/tiny-autoencoders Tiny AutoEncoders - a madebyollin Collection Tiny distilled autoencoders offering faster encode / decode at slightly-reduced quality. tiny autoencoders collection https://arxiv.org/abs/2506.14914 [2506.14914] Recursive Variational Autoencoders for 3D Blood Vessel Generative Modeling Abstract page for arXiv paper 2506.14914: Recursive Variational Autoencoders for 3D Blood Vessel Generative Modeling variational autoencoders blood vessel recursive https://vcai.mpi-inf.mpg.de/projects/DEMEA/ DEMEA: Deep Mesh Autoencoders for Non-rigidly Deforming Objects Mesh autoencoders are commonly used for dimensionality reduction, sampling and mesh modeling. We propose a general-purpose DEep MEsh Autoencoder (DEMEA) which... deep mesh autoencoders non objects https://www.mdpi.com/2227-7080/10/2/47 Fall Detection Using Multi-Property Spatiotemporal Autoencoders in Maritime Environments Man overboard is an emergency in which fast and efficient detection of the critical event is the key factor for the recovery of the victim. Its severity urges... fall detection multi property using autoencoders maritime https://research.tue.nl/en/studentTheses/data-driven-electron-microscope-calibration-using-autoencoders/ Data-Driven Electron Microscope Calibration using Autoencoders - Research portal Eindhoven... data driven electron microscope research portal calibration using https://arxiv.org/html/2502.04730v1 PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders unsupervised learning phylogenetic trees via autoencoders https://end-to-end-machine-learning.teachable.com/courses/write-a-neural-network-framework/lectures/11276884 Why Autoencoders? | End to End Machine Learning Code your own neural network framework from scratch autoencoders end machine learning https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5310/dynamic-variational-autoencoders-for-visual-process-modeling Dynamic Variational Autoencoders For Visual Process Modeling | IEEETV This work studies the problem of modeling visual processes by leveraging deep generative architectures for learning linear, Gaussian representations from... variational autoencoders process modeling dynamic visual https://ch.mathworks.com/help/wavelet/ug/detect-anomalies-using-wavelet-scattering-with-autoencoders.html Detect Anomalies Using Wavelet Scattering with Autoencoders - MATLAB & Simulink Learn how to develop an alert system for predictive maintenance using wavelet scattering and deep learning. detect anomalies using wavelet scattering https://arxiv.org/abs/2504.03501 [2504.03501] LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders Abstract page for arXiv paper 2504.03501: LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders long video https://www.kaggle.com/code/rohitgr/autoencoders-tsne AutoEncoders + TSNE | Kaggle Explore and run AI code with Kaggle Notebooks | Using data from multiple data sources autoencoders tsne kaggle https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6332/from-symbols-to-signals-symbolic-variational-autoencoders From Symbols To Signals: Symbolic Variational Autoencoders | IEEETV We introduce Symbolic Variational Autoencoders which generate images from symbols that represent semantic concepts. Unlike generic Variational Autoencoders... variational autoencoders symbols signals symbolic https://ieeetv.ieee.org/ondemand/ieee-isbi-2020-virtual-conference-april-2020/2947/gradient-artifact-correction-for-simultaneous-eegfmri-using-denoising-autoencoders Gradient Artifact Correction for Simultaneous Eeg-Fmri Using Denoising Autoencoders | IEEETV EEG recorded during MRI acquisition suffers from severe artifacts due to the imaging gradients. Here, we explore the possibility of using denoising... gradient artifact correction simultaneous https://arxiv.org/abs/1901.05534 [1901.05534] Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Abstract page for arXiv paper 1901.05534: Lagging Inference Networks and Posterior Collapse in Variational Autoencoders lagging inference networks https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010025 Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders | PLOS... Author summary Single-cell RNA sequencing (scRNA-seq) techniques enable the profiling of gene expression at the single-cell level, and thus make it possible to... https://nrc-publications.canada.ca/eng/view/object/?id=ddd45128-1b17-43b4-9c55-7fb4dc3c954f PCA-enhanced autoencoders for nonlinear dimensionality reduction in low data regimes - NRC... PCA-enhanced autoencoders for nonlinear dimensionality reduction in low data regimes dimensionality reduction https://centerforneurotech.uw.edu/2019/11/26/autoencoders-help-neural-devices-communicate-with-the-brain/ Autoencoders help neural devices communicate with the brain autoencoders help neural devices communicate https://zanna-researchteam.github.io/publication/brettin-et-al-2025-1/ Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders | Computational... Feb 14, 2025 - Due to the wide range of processes impacting the sea surface height (SSH) on daily-to-interannual timescales, SSH forecasts are hampered by numerous sources of... learning propagators sea surface https://research.tudelft.nl/en/publications/towards-universal-parameterization-using-variational-autoencoders/ Towards Universal Parameterization: Using Variational Autoencoders to Parameterize Airfoils - TU... variational autoencoders towards universal parameterization using https://arxiv.org/abs/2504.20271?ref=bounded-regret.ghost.io [2504.20271] Investigating task-specific prompts and sparse autoencoders for activation monitoring Abstract page for arXiv paper 2504.20271: Investigating task-specific prompts and sparse autoencoders for activation monitoring task specific https://infoscience.epfl.ch/entities/publication/c50acece-e3ba-4c66-825b-9a9ac4a609e4 Sparse Autoencoders for Speech Modeling and Recognition Speech recognition-based applications upon the advancements in artificial intelligence play an essential role to transform most aspects of modern life.... sparse autoencoders speech modeling recognition https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6870 Transforming Seismocardiograms Into Electrocardiograms By Applying Convolutional Autoencoders |... Electrocardiograms constitute the key diagnostic tool for cardiologists. While their diagnostic value is yet unparalleled, electrode placement is prone to... transforming electrocardiograms applying autoencoders https://aigi.ox.ac.uk/press-reports/do-sparse-autoencoders-generalize-a-case-study-of-answerability/ Do Sparse Autoencoders Generalize? A Case Study of Answerability - Oxford Martin AIGI a case study https://newsroom-deezer.com/2026/05/icassp-btorres-html/ Learning Linearity in Audio Consistency Autoencoders via Implicit Regularization - Deezer Newsroom Audio autoencoders learn useful, compressed audio representations, but their non-linear latent spaces prevent intuitive algebraic manipulation such as mixing... learning linearity audio consistency https://arxiv.org/abs/2210.13536v1 [2210.13536v1] Effective Pre-Training Objectives for Transformer-based Autoencoders Abstract page for arXiv paper 2210.13536v1: Effective Pre-Training Objectives for Transformer-based Autoencoders pre training effective objectives transformer based https://scholars.cityu.edu.hk/en/publications/denoising-temporal-convolutional-recurrent-autoencoders-for-time-/ Denoising temporal convolutional recurrent autoencoders for time series classification - CityUHK... for time denoising temporal recurrent autoencoders https://utheses.univie.ac.at/detail/48085 Learning low dimensional representations for k-means with k-competitive autoencoders learning low dimensional representations k https://arxiv.org/html/2504.13214v1 Wavelet-based Variational Autoencoders for High-Resolution Image Generation high resolution image variational autoencoders wavelet based generation https://fr.mathworks.com/help/deep-learning-hdl/ug/csi-feedback-with-autoencoders-fpga-implementation.html CSI Feedback with Autoencoders Implemented on an FPGA - MATLAB & Simulink This example demonstrates how to use an autoencoder neural network to compress downlink channel state information (CSI) over a clustered delay line (CDL)... csi feedback autoencoders implemented fpga https://www.wolfram.com/language/11/neural-networks/unsupervised-learning-with-autoencoders.html.en?footer=lang Unsupervised Learning with Autoencoders: New in Wolfram Language 11 unsupervised learning wolfram language autoencoders new https://www.repository.cam.ac.uk/items/b9b0ccd9-08dc-40f8-82e1-76f71be0509f Variational Autoencoders for Cancer Data Integration: Design Principles and Computational Practice. International initiatives such as the Molecular Taxonomy of Breast Cancer International Consortium are collecting multiple data sets at different genome-scales... variational autoencoders cancer data integration design https://dibs.duke.edu/event/joint-data-modeling-using-variational-autoencoders/ Joint data modeling using Variational Autoencoders | Duke Institute for Brain Sciences The Computational and Theoretical Neuroscience Research Group (CTNRG) brings together theoretical and experimental researchers from across Duke who are... data modeling variational autoencoders institute for joint using https://eprints.ncl.ac.uk/252145 Stacked Denoising Autoencoders for mortality risk prediction using imbalanced clinical data -... risk prediction stacked denoising autoencoders mortality https://www.mdpi.com/1424-8220/23/5/2854 Morphological Autoencoders for Beat-by-Beat Atrial Fibrillation Detection Using Single-Lead ECG Engineered feature extraction can compromise the ability of Atrial Fibrillation (AFib) detection algorithms to deliver near real-time results. Autoencoders... for beat atrial fibrillation