Deep Generative Models: Vikram Sankhala Lecture Notes

by vikram sankhala

The future of deep generative models is poised for remarkable progress. We can anticipate improvements in model quality, with the ability to generate highly realistic and high-resolution samples. Greater control and diversity will be achieved, allowing users to specify desired attributes and styles in the generated outputs. Robustness, interpretability, and ethical considerations will be addressed, enhancing trust and transparency in the models. The integration of generative models with reinforcement learning and other AI techniques will unlock new capabilities and applications. Real-time and interactive generation, multimodal capabilities, and democratization of generative models will make them more accessible and impactful. The future of deep generative models holds great promise for advancing AI technology and enabling innovative applications across various domains.

162 pages, Paperback

Published June 20, 2023