About the Seminar
In recent years, generative models have made remarkable strides—not only in generating high-fidelity images, videos, and text, but also in powering chatbots and autonomous agents. Beyond these advances, the growing connections between generative modeling and broader problems in measure transport, sampling, and stochastic control have led to exciting developments in fine-tuning, inference-time alignment, and solutions to scientific simulation and inference tasks.
This seminar aims to bring together researchers from machine learning, statistics, applied mathematics, and the physical sciences to explore this rapidly evolving and interdisciplinary space—emphasizing both theoretical foundations and practical applications.
Based in Microsoft Research New England (MSR NE), we welcome a diverse set of speakers and participants, and aim to foster cross-disciplinary conversations and collaborations. The seminar takes place in the New England / Boston area with in-person participation from the local research community and virtual attendance from a global audience. We host speakers in person whenever possible.
Location: One Memorial Drive, Cambridge, MA, Room Clara Barton on the M floor
Time: 11am-12pm every Tuesday
Online attendance: Fill this 1-minute form: https://forms.microsoft.com/r/LuY9V5TpEd (if it doesn't work try it on a different browser/device). The email you input will be added to the Google Group for the seminar, which means you will get Teams invites and emails about upcoming talks. It may take a few hours (up to a day) for you to get the welcome email.
In-person attendance: If you are a Microsoft New England employee, just show up. If you are an external guest, fill this 1-minute form: https://forms.microsoft.com/r/LuY9V5TpEd (if it doesn't work try it on a different browser/device). Provide your name and ID to the building reception at the entrance, take the elevators to the M floor, and ask the receptionist at the M floor for a visitor tag and for Room Clara Barton. Bring a personal ID!
If you have any questions, send an email to carlesd@microsoft.com and/or dinghuai.zhang@microsoft.com.
Teams link: https://teams.microsoft.com/meet/2836370480290?p=gAxr1hqReQ73KK6bqE