[AI Seminar Series] Seminar by Prof. Siting Liu, Friday April 10th, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

The next AI Seminar will be on Friday April 10th, 12-1pm, in the MRB
Seminar Room (1st floor).

*** Pizza and refreshments will be provided ****

To keep track of the number of attendees, please *register* at:
https://www.eventbrite.com/e/ai-seminar-series-tickets-1986780424733

The talk will be given by *Prof. Siting Liu,* Department of Mathematics, UCR

TITLE: From ICON to GenICON: In-Context Operator Learning with Uncertainty
Quantification

ABSTRACT:
I will introduce In-Context Operator Networks (ICON), a framework in which
a single neural network learns solution operators for differential
equations directly from a few prompted input-output examples at inference
time, without any weight updates. ICON acts as a few-shot learner across
forward and inverse problems for ODEs, PDEs, and mean-field control. I will
then present a probabilistic interpretation: under a random differential
equation data model, ICON implicitly computes the posterior predictive mean
given the context, linking operator learning to Bayesian inference. This
motivates GenICON, a generative variant that samples from the posterior
predictive for principled uncertainty quantification, yielding a unified
Bayesian view of in-context operator learning.


Bio:
Siting Liu is an Assistant Professor in the Department of Mathematics at
the University of California, Riverside. She received her PhD in
Mathematics from UCLA, advised by Professor Stanley J. Osher. Her research
interests center around mathematical modeling and computational techniques,
spanning optimization, data science, machine learning, mean-field games,
optimal control, inverse problems, and related areas.

------------------------------------
Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents
speakers working on cutting edge Foundational AI or applying AI in their
research. The goal of these seminars is to inform the UCR community about
current trends in AI research and promote collaborations between faculty in
this emerging field. These seminars are open to interested faculty and
graduate/undergraduate students. Please forward this email to other
colleagues or students in your lab that may be interested. After the seminar a
discussion will follow for questions, open problems, ideas for possible
collaborations etc.

Sincerely,
Vassilis Tsotras
Professor, CSE Department
co-Director, RAISE at UCR Institute

Amit Roy-Chowdhury
Professor, ECE Department
co-Director, RAISE at UCR Institute
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.ucr.edu/pipermail/raise-seminar/attachments/20260406/eb0bcd94/attachment.htm>