Emergence of Quantised Representations Isolated to Anisotropic Functions openreview.net/forum?id=aokVp… #representations #representational #autoencoder

Train a PyTorch autoencoder to generate new MNIST digits! Compress, reconstruct & synthesize handwritten numbers using neural nets. Read more: nomidl.com/deep-learning/… #AI #MachineLearning #DeepLearning #PyTorch #Autoencoder

STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting openreview.net/forum?id=f4oJw… #autoencoder #precipitation #prediction

Semi-Symmetrical, Fully Convolutional Masked #Autoencoder for TBM Muck #ImageSegmentation ✏️ Ke Lei et al. 🔗 brnw.ch/21wVdRA Viewed: 2021; Cited: 10 #mdpisymmetry #selfsupervised #instancesegmentation

✨ New Publication #Credit_Card_Fraud #unsupervised_learning 📝 An Adaptive Unsupervised Learning Approach for Credit Card Fraud Detection The full text is available here mdpi.com/2504-2289/9/9/… #adaptive_reconstruction_threshold #autoencoder #restricted_Boltzmann_machines

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Machine Learning Approach to Simplify Complex Fluid Flow | JPS Hot Topics #Fluids #Autoencoder #JPSJ #JPSHotTopics jpsht.jps.jp/article/5-039/

TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data openreview.net/forum?id=bkUd1… #autoencoder #timeautodiff #temporal

Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study Freek Byrman, Emma Kasteleyn, Bart Kuipers, Daniel Uyterlinde. Action editor: Sungsoo Ahn. openreview.net/forum?id=946cT… #autoencoder #deep #bottleneck

🔥 Read our Paper 📚 Anomaly Detection through Grouping of SMD Machine Sounds Using Hierarchical Clustering 🔗 mdpi.com/2076-3417/13/1… 👨‍🔬 by Young Jong Song et al. #anomalydetection #autoencoder

Autoencoder ensembles compress high-dimensional climate data into latent states, enabling faster scenario sampling for extreme-event risk analysis. #Autoencoder #Risk

🔬Excited to share the publication "Using Fused Data from Perimetry and Optical Coherence Tomography to Improve the Detection of Visual Field Progression in Glaucoma"👉mdpi.com/2306-5354/11/3… #autoencoder #data_fusion #glaucoma #progression #OCT #perimetry #visual_field

Day 16 of my summer fundamentals series: Built an Autoencoder from scratch in NumPy. Learns compressed representations by reconstructing inputs. Encoder reduces, decoder rebuilds. Unsupervised and powerful for denoising, compression, and more. #MLfromScratch #Autoencoder #DL

New #ReproducibilityCertification: Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study Freek Byrman, Emma Kasteleyn, Bart Kuipers, Daniel Uyterlinde openreview.net/forum?id=946cT… #autoencoder #deep #bottleneck

7/ Takeaway: SPARSITY SCALES📈. Keep the quality🏆, slash the cost💸, choose your latency-accuracy point⚖️. ⭐️Paper: arxiv.org/abs/2505.11388 ⭐️Code (MIT License): github.com/recombee/Compr… #sparse #autoencoder #embeddings #compression

Comparison of #AutoEncoder Models: Simple vs. Variational original size: chizari.me/comparison-of-…

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.

Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design openreview.net/forum?id=KhxVc… #molecular #molecule #autoencoder

Variational Neural Stochastic Differential Equations with Change Points Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko. Action editor: Michael Gutmann. openreview.net/forum?id=GEilv… #stochastic #autoencoder #sde

Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data openreview.net/forum?id=atf9q… #unobserved #confounders #autoencoder

Here is the one of the rare papers arxiv.org/abs/2504.12418 we did where a supervised event classifier is compared with an unsupervised #autoencoder using exactly the same input and a similar neural network architecture for the hidden layers. The example uses double-#Higgs…