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

[Vassilis Tsotras]

Reminder for the AI Seminar tomorrow Friday By Prof. Siting Liu (noon at
the MRB Seminar Room). Please register using the link below if you plan to
attend.

Sincerely,
V. Tsotras

----------------------
On Mon, Apr 6, 2026 at 9:45 AM Vassilis Tsotras <vassilis.tsotras at ucr.edu>
wrote:

> 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
>
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