In this letter, we present a fully convolutional Siamese autoencoder method for change detection in aerial images, in particular for those obtained with UAVs. We show that, by using an autoencoder, we ...

The model employs a three-dimensional (3D) convolutional autoencoder, with an encoder-decoder structure that learns spatiotemporal representations and reconstructs the input through the latent space.

PyTorch implementation of TIRE (UNOFFICIAL) TIRE is an autoencoder-based change point detection algorithm for time series data that uses a TIme-Invariant Representation (TIRE). More information can be ...

Latent Diffusion Model for Conditional Reservoir Facies Generation This is an official GitHub repository for the PyTorch implementation of Latent Diffusion Model for Conditional Reservoir Facies ...

Designing molecular structures with desired chemical properties is an essential task in drug discovery and materials design. However, finding molecules with the optimized desired properties is still a ...