IEEE

Latent Diffusion and Spatio-Temporal Transformers Generate Large Ensemble Climate Simulations

Abstract: Accurately estimating uncertainty in climate scenarios typically demands the generation of large ensembles of high-resolution simulations, a process that is both computationally expensive ...
IEEE

Variational Autoencoder-Enhanced Data Augmentation Method for Ship-motion Trajectory Prediction

Abstract: Accurate prediction of ship-motion trajectories is of critical significance in modern maritime affairs, directly impacting navigation safety, traffic control, and resource management. Deep ...
GitHub

Diffusion Transformers with Representation Autoencoders (RAE)

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...
C&EN

MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data

State Key Laboratory of Medical Proteomics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P.