[CMU AI Seminar] Oct 19 at 12pm (Zoom) -- Stefano Ermon (Stanford) -- Generative Modeling by Estimating Gradients of the Data Distribution -- AI Seminar sponsored by Morgan Stanley

[Shaojie Bai]

Dear all,

We look forward to seeing you *next Tuesday (10/19)* from *1**2:00-1:00 PM
(U.S. Eastern time)* for the next talk of our *CMU AI seminar*, sponsored
by Morgan Stanley <https://www.morganstanley.com/about-us/technology/>.

To learn more about the seminar series or see the future schedule, please
visit the seminar website <http://www.cs.cmu.edu/~aiseminar/>.

On 10/19, *Stefano Ermon* (Stanford) will be giving a talk on "*Generative
Modeling by Estimating Gradients of the Data Distribution*" and their
research on score-based models.

*Title*: Generative Modeling by Estimating Gradients of the Data
Distribution

*Talk Abstract*: Existing generative models are typically based on explicit
representations of probability distributions (e.g., autoregressive or VAEs)
or implicit sampling procedures (e.g., GANs). We propose an alternative
approach based on modeling directly the vector field of gradients of the
data distribution (scores). Our framework allows flexible architectures,
requires no sampling during training or the use of adversarial training
methods. Additionally, score-based generative models enable exact
likelihood evaluation through connections with normalizing flows. We
produce samples comparable to GANs, achieving new state-of-the-art
inception scores, and competitive likelihoods on image datasets.

*Speaker Bio*:  Stefano Ermon is an Assistant Professor of Computer Science
in the CS Department at Stanford University, where he is affiliated with
the Artificial Intelligence Laboratory, and a fellow of the Woods Institute
for the Environment. His research is centered on techniques for
probabilistic modeling of data and is motivated by applications in the
emerging field of computational sustainability. He has won several awards,
including Best Paper Awards (ICLR, AAAI, UAI and CP), a NSF Career Award,
ONR and AFOSR Young Investigator Awards, a Sony Faculty Innovation Award, a
Hellman Faculty Fellowship, Microsoft Research Fellowship, Sloan
Fellowship, and the IJCAI Computers and Thought Award. Stefano earned his
Ph.D. in Computer Science at Cornell University in 2015.

*Zoom Link*:
https://cmu.zoom.us/j/99631487756?pwd=a2NORWwwaWlybjNZemo3N2h1RkZ2dz09

Thanks,
Shaojie Bai (MLD)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/ai-seminar-announce/attachments/20211014/d4179739/attachment.html>