Events

Speaker: Dr. Aleksander Hołyński (Google) Title: How I Learned to Stop Worrying and Love the Data Monster Video: Click here to view Abstract:  Recent advances in visual generative models have led to the generation of high quality, diverse images and videos of nearly any imaginable concept, thanks to increasingly large models and huge training datasets. […]

Speaker: Dr. Haomiao Jiang (Roblox) Title: Photo-to-Avatar: Personalized Avatar Creation with Generative AI Video: Click here to view Abstract: Digital personalized avatars are essential for user identity in the metaverse, and their creation has become an exciting area of research with applications in gaming, digital twins, and more. With the rapid advancements in machine learning […]

Speaker: Dr. Robin Rombach (Black Forest Labs) Title:"From Latent Diffusion to FLUX and Beyond: Scaling Efficient Content Creation" Video: Click here to view Bio: Robin is the CEO and co-founder of Black Forest Labs.  After studying physics at the University of Heidelberg from 2013-2020, he started a PhD in computer science in the Computer Vision […]

Speaker: Dr. Nikhil Naik Title: "Diffusion Model Alignment with Direct Preference Optimization" Video: Click here to view Abstract: Large language models (LLMs) are fine-tuned using human comparison data with Reinforcement Learning from Human Feedback (RLHF) methods to make them better aligned with users' preferences. In contrast to LLMs, human preference learning has not been widely […]

Speaker: Dr. Kevin Zhou (UC Berkeley) Title: Computational 3D and 4D imaging at high spatiotemporal throughput Video: Click here to view Abstract: Conventional imaging systems have difficulties scaling to high spatiotemporal throughput, rendering it challenging or impossible to study complex and highly dynamic biological systems. In particular, due to physical limitations of hardware-only systems, it […]