Zihao Wang, an assistant professor at University of Tennessee at Chattanooga, led a collaboration with the French Institute for Research in Computer Science and Automation to develop a new AI framework called the Langevin Variational Autoencoder (Langevin-VAE). This lightweight model addresses the long-standing challenge of building interpretable, high-quality 3D image models that separate shape from appearance—using a quasi-symplectic integrator to avoid costly matrix computations. >>>Read More>>>