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Posts tagged #Autoencoder

PredLDM: Spatiotemporal Sequence Prediction with Latent Diffusion Models

Yechao Xu, Zhengxing Sun, Qian Li, Jiao Qu

Action editor: Gilles Louppe

https://openreview.net/forum?id=TWmnOUzcCo

#autoencoder #attention #spatiotemporal

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STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting

Shi Quan Foo, Chi-Ho Wong, Zhihan Gao, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong

Action editor: Andreas Lehrmann

https://openreview.net/forum?id=f4oJwXn3qg

#forecasting #autoencoder #precipitation

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TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metad...

Namjoon Suh, Yuning Yang, Din-Yin Hsieh et al.

Action editor: Mingsheng Long

https://openreview.net/forum?id=bkUd1Dg46c

#timeautodiff #autoencoder #temporal

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Superposition as Lossy Compression — Measure with Sparse Autoencoders and Connect to Adversarial ...

Leonard Bereska, Zoe Tzifa-Kratira, Reza Samavi, Stratis Gavves

Action editor: Pin-Yu Chen

https://openreview.net/forum?id=qaNP6o5qvJ

#autoencoders #autoencoder #encode

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PredLDM: Spatiotemporal Sequence Prediction with Latent Diffusion Models

PredLDM: Spatiotemporal Sequence Prediction with Latent Diffusion Models

New #TMLR-Paper-with-Video:

PredLDM: Spatiotemporal Sequence Prediction with Latent Diffusion Models

Yechao Xu, Zhengxing Sun, Qian Li, Jiao Qu

https://tmlr.infinite-conf.org/paper_pages/TWmnOUzcCo

#autoencoder #attention #spatiotemporal

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Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data

Mouad El Bouchattaoui, Myriam Tami, BENOIT LEPETIT, Paul-Henry Cournède

Action editor: Amit Sharma

https://openreview.net/forum?id=atf9q49DeF

#unobserved #autoencoder #confounders

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A hybrid ensembling and autoencoder scheme for improving sensing reliability in cognitive radio networks.
Ali, Jehad et al.
Paper
Details
#CognitiveRadio #EnsembleLearning #Autoencoder

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New #J2C Certification:

TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metad...

Namjoon Suh, Yuning Yang, Din-Yin Hsieh et al.

https://openreview.net/forum?id=bkUd1Dg46c

#timeautodiff #autoencoder #temporal

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Learning the Language of Protein Structure

Jérémie DONA, Benoit Gaujac, Timothy Atkinson et al.

Action editor: Lingpeng Kong

https://openreview.net/forum?id=SRRPQIOS4w

#proteins #autoencoder #protein

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Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study

Freek Byrman, Emma Kasteleyn, Bart Kuipers, Daniel Uyterlinde

Action editor: Sungsoo Ahn

https://openreview.net/forum?id=946cT3Jsq5

#autoencoder #bottleneck #deep

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H3AE Autoencoder Enables High Compression and Real‑Time Diffusion

H3AE Autoencoder Enables High Compression and Real‑Time Diffusion

H3AE autoencoder compresses video and decodes frames in real time on mobile hardware. Its omni‑training objective with latent consistency loss enables fast text‑to‑video synthesis. Read more: getnews.me/h3ae-autoencoder-enables... #video #autoencoder

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CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder

CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder

New #TMLR-Paper-with-Video:

CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder

Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim

https://tmlr.infinite-conf.org/paper_pages/mDGvrH7lju

#symmetries #symmetry #autoencoder

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Amazing paper:"Arousal as a universal embedding for spatiotemporal brain dynamics"🧠🐁 𒅒𒈔
www.nature.com/articles/s41... you can even find the #autoencoder based code: github.com/ryraut/arous...
but dear #Brain people🧠,
why do you find cool brain dynamics, state trajectories, embedding?

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New Autoencoder Estimates Intrinsic Data Dimension with CancelOut Layers

New Autoencoder Estimates Intrinsic Data Dimension with CancelOut Layers

IDEA, an autoencoder with a CancelOut layer that drops one latent dimension during training, matches leading estimators on synthetic benchmark tests. Read more: getnews.me/new-autoencoder-estimate... #intrinsicdimension #autoencoder

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Foundation Models for Exoplanet Characterization Greetings everyone! I am very excited to share the progress of my project, “Foundation Models for Exoplanet Characterization” for Google…

Foundation Models for Exoplanet Characterization Greetings everyone! I am very excited to share the progress of my project, “Foundation Models for Exoplanet Characterization” for Google… Cont...

#foundation-models #machine-learning #autoencoder

Origin | Interest | Match

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Augmented Invertible Koopman Autoencoder for long-term time series forecasting

Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil AISSA EL BEY

Action editor: William Redman

https://openreview.net/forum?id=o6ukhJLzMQ

#autoencoders #encoder #autoencoder

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Machine Learning Fundamentals: autoencoder ## Autoencoders in Production: A Systems Engineering Deep Dive **1. Introduction** Last quarter, a...

Machine Learning Fundamentals: autoencoder ## Autoencoders in Production: A Systems Engineering Deep Dive **1. Introduction** Last quarter, a critical anomaly detection system in our fraud preventi...

#machinelearning #ai #autoencoder

Origin | Interest | Match

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New #Reproducibility Certification:

Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study

Freek Byrman, Emma Kasteleyn, Bart Kuipers, Daniel Uyterlinde

https://openreview.net/forum?id=946cT3Jsq5

#autoencoder #bottleneck #deep

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High level abstraction of an inverted #autoencoder.

Instead of compressing reality into meaning, crystallizes meaning into reality.

#AI typically compresses the world into numbers. This #model starts with meaning and expands outward. It crystallizes structure from pure thought.

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Fault Detection Method for Power Conversion Circuits Using Thermal Image and Convolutional Autoencoder A fault detection method for power conversion circuits using thermal images and a convolutional autoencoder is presented. The autoencoder is trained on thermal images captured from a commercial power module at randomly varied load currents and augmented image2 generated through image processing techniques such as resizing, rotation, perspective transformation, and bright and contrast adjustment. Since the autoencoder is trained to output images identical to input only for normal samples, it reconstructs images similar to normal ones even when the input images containing faults. A small heater is attached to the circuit board to simulate a fault on a power module, and then thermal images were captured from different angles and positions, as well as various load currents to test the trained autoencoder model. The areas under the curve (AUC) were obtained to evaluate the proposed method. The results show the autoencoder model can detect anomalies with 100% accuracy under given conditions.

🔥🔍 spot faults in power conversion circuits with thermal images and a convolutional autoencoder, achieving perfect accuracy even with varied loads and simulated fault conditions
https://arxiv.org/abs/2505.08150v1
#faultdetection #thermalimaging #autoencoder #powercircuits #deeplearning

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Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization

Han Guo, Ramtin Hosseini, Ruiyi Zhang et al.

Action editor: Di He

https://openreview.net/forum?id=cFmmaxkD5A

#autoencoders #autoencoder #masking

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Original post on medium.com

Anomaly Detection Using Autoencoders: A Deep Dive into Fraud Detection Anomaly detection is an es...

medium.com/@stacymacbrains/anomaly-...

#deep-learning #anomaly-detection […]

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Physics-Informed #autoencoder provides accurate & explainable measurements of prostate tissue on #MRI https://doi.org/10.1148/ryai.240167 #AACR25 #AACR2025 #cancer #OncoRad #oncology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Physics-Informed #autoencoder provides accurate & explainable measurements of prostate tissue on #MRI https://doi.org/10.1148/ryai.240167 #DeepLearning #cancer #MachineLearning

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Physics-Informed #autoencoder provides accurate & explainable measurements of prostate tissue on #MRI https://doi.org/10.1148/ryai.240167 #ISBI2025 #imaging #AI #radiology

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Variational Neural Stochastic Differential Equations with Change Points

Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko

Action editor: Michael Gutmann

https://openreview.net/forum?id=GEilvtsFNV

#stochastic #autoencoder #variational

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Physics-Informed #autoencoder provides accurate & explainable measurements of prostate tissue on #MRI https://doi.org/10.1148/ryai.240167 #SPR25 #PedsRad #radiology

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SciTech Chronicles. . . . . . . . .Mar 28th, 2025 My best teacher is my last mistake. Vol II No 79 481 links Curated Fungus-like organism may be a completely unknown branch of life. https:...

SciTech Chronicles. . . . . . . . .Mar 28th, 2025

bit.ly/stc032825

#Prototaxites #Devonian #Rhynie #chitin #cellulose #delignifying #lye #diethylenetriamine #ACC #hyperglycemic #hippocampus #anhedonia #ANNs #fMRI #autoencoder #RSA #dairy #high-value #reuse #upcycle

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Formulation of Feature Circuits with Sparse Autoencoders in LLM Large Language models (LLMs) have...

towardsdatascience.com/formulation-of-feature-c...

#Large #Language #Models #Explainable #Ai #Machine […]

[Original post on towardsdatascience.com]

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