Tag: variational autoencoder

Researchers have unveiled Hydra, an interpretable ensemble deep learning framework that jointly performs feature selection and cell type annotation across ...

A new deep learning and agent-based framework called veloAgent integrates tissue spatial context into RNA velocity inference and enables virtual ...

A new deep generative and agent-based framework called veloAgent integrates spatial context into RNA velocity analysis, producing anatomically consistent cell ...

Researchers have developed CausalCACTUS, a framework that generates counterfactual explanations for black-box machine learning models which simultaneously respect learned causal ...

Researchers in China have developed a dual-path deep learning network that keeps multimodal sentiment analysis accurate even when text, audio ...

Researchers have developed a two-level evaluation framework showing that synthetic vertebrae which score highly on geometric similarity can still fail ...

Researchers have developed a zero-shot classification framework that aligns short, noisy citizen hotline texts with richly described class attributes in ...

A variational autoencoder trained only on healthy motion capture data can distinguish sex, speed and gait type while generating realistic ...

Researchers in China have developed a detection method that combines temporal knowledge graphs, time-series tensors, and a variational autoencoder paired ...

A new machine learning framework combines variational autoencoders with actor-critic deep reinforcement learning to sequentially estimate the remaining useful life ...