Researchers introduced FCx (Feasible Counterfactual Explanations), an algorithm that generates counterfactual explanations which are realistic, low-cost and feasible, according to a paper published on…
A research team reports that its JiT-DDT encoder-decoder architecture trains a text-to-image model with 3.6× fewer GPU-hours than its Linum v2 baseline while generating images with 4× the pixels. The …
A blog post explains the Residual-Quantized Variational Autoencoder (RQ-VAE), an architecture that extends the Vector Quantized Variational Autoencoder (VQ-VAE) introduced in arXiv paper 1711.00937 to…
Researchers introduced GAT, a purely transformer-based Generative Adversarial Network trained in a compact Variational Autoencoder latent space, achieving state-of-the-art single-step class-conditiona…
Researchers propose an agentic AI pipeline for appliance-level energy anomaly detection in office buildings, combining deep time-series forecasting, variational anomaly detection, and LLM-based reason…