A Unified Perspective From Statistical Inference to Generative Modeling
Talk, Online@SyncedTech (机器之心), Online
Focusing on the application of probabilistic and statistical principles to generative modeling, this sharing explores the connections between different generative models in a statistical learning framework, including score-based and flow-based generative models, in a step-by-step manner. Sharing will start with basic concepts to ensure the audience understands the required math, providing intuitive explanations as they progress into key theories. Finally, based on an in-depth analysis of existing work on generative modeling, the sharing suggests guidelines that can help with theoretical machine learning research, aiming to provide practical implications for participants.