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IEEE2d

Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection

Abstract: The hyperspectral anomaly detection (HAD) aims to identify potential anomalies from complex backgrounds. Most reconstruction-based autoencoders equally treat background pixels and anomalies ...
Science Daily1mon

AI just found 5 powerful materials that could replace lithium batteries

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...
GitHub2mon

Random Segmentation fault in test_masked_autoencoder_vit

[2025-06-17T20:37:02.135Z] Starting test: test_access_attn_matrix (tests.test_masked_autoencoder_vit.TestMaskedAutoencoderViT)... [2025-06-17T20:37:02.135Z] 2025-06 ...
C&EN3mon

Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks

Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China ...
GitHub4mon

TorchScript based ONNX exporter: Shape Inference failure

I want to export the AutoencoderKLCosmos model to ONNX using the TorchScript-based exporter. I'm using the script below import torch from diffusers.models import AutoencoderKLCosmos dtype = ...
IEEE1y

Deep Learning-Based Coseismic Deformation Estimation From InSAR Interferograms

Abstract: Accurate automated extraction of coseismic deformation from synthetic aperture radar (SAR) data can be challenging owing to interference from inherent atmospheric noise. Particularly, the ...