One World Seminar Series on the
Mathematics of Machine Learning
The One World Seminar Series on the Mathematics of Machine Learning is an online platform for research seminars, workshops and seasonal schools in theoretical machine learning. The focus of the series lies on theoretical advances in machine learning and deep learning as a complement to the one world seminars on probability, on Information, Signals and Data (MINDS), on methods for arbitrary data sources (MADS), and on imaging and inverse problems (IMAGINE).
The series was started during the Covid-19 epidemic in 2020 to bring together researchers from all over the world for presentations and discussions in a virtual environment. It follows in the footsteps of other community projects under the One World Umbrella which originated around the same time.
We welcome suggestions for speakers concerning new and exciting developments and are committed to providing a platform also for junior researchers. We recognize the advantages that online seminars provide in terms of flexibility, and we are experimenting with different formats. Any feedback on different events is welcome.
Error Analysis for Deep Generative Learning
Estimating underlying distributions from data is a fundamental task in machine learning. In this presentation, we will discuss theoretical guarantees for various deep generative models, such as GANs, latent space diffusion models, simulation-free continuous normalized flow models, and a newly proposed one-step generator based on ODE flow.
Mailing List and Google Calendar
Sign up here to join our mailing list and receive announcements. If your browser automatically signs you into a google account, it may be easiest to join on a university account by going through an incognito window. With other concerns, please reach out to one of the organizers.
Sign up here for our google calendar with all seminars.
Seminars are held online on Zoom. The presentations are recorded and video is made available on our youtube channel. A list of past seminars can be found here. All seminars, unless otherwise stated, are held on Wednesdays at 12 noon ET. The invitation will be shared on this site before the talk and distributed via email.