[AI Seminar Series] REMINDER: Seminar by Prof. Vishwanath Saragadam, Friday May 30, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

The next AI seminar is tomorrow Friday at noon. Please use the link below
to register if you plan to attend.

Sincerely,
V. Tsotras
---------------------------------------

On Mon, May 26, 2025 at 10:30 AM Vassilis Tsotras <tsotras at cs.ucr.edu>
wrote:

> Colleagues,
> the next AI Seminar will be on Friday May 30, 12:00-1:00pm at 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-1379917031989
>
> The talk will be given by Prof. Vishwanath Saragadam, Department of
> Electrical and Computer Engineering, UCR
>
> TITLE:
> "Non-Linear Signal Processing with Implicit Neural Representations"
>
>
> ABSTRACT:
> Implicit neural representations (INRs) are a powerful family of
> continuous learned function approximators for signal data that are
> implemented using multilayer perceptron (MLP). INRs enable a non-linear
> signal representation of bases functions that are generated by scaling
> and shifting the activation function. Inspired by this insight, this
> talk will focus on the role played by the activation function, and the
> weights and biases of INRs. I will first focus on development of wavelet
> INRs (or WIRE) for highly robust representations for visual data such as
> images and videos. Second, I will talk about how the weights and biases
> of an INR can be modulated to efficiently and continuously represent
> videos, and thereby generate slo-mo videos without any external
> supervision, underscoring the importance of INRs as a powerful signal
> processing tool. The talk will focus on applications in CT
> reconstruction, low-level image processing, video processing, and
> solving inverse problems with meta-optics.
>
>
> Bio:
> Vishwanath Saragadam is an Assistant Professor in the Department of
> Electrical and Computer Engineering (ECE) at the University of
> California Riverside where he leads the computational optics and display
> engineering (CODE) lab. Vishwanath received his Ph.D. from Carnegie
> Mellon University in ECE, and was a postdoctoral researcher at Rice
> University. He is a recipient of an outstanding postdoctoral researcher
> award in 2023, best paper award at ICCP in 2022, and outstanding thesis
> award in 2021. His research focus includes meta-optics, hyperspectral
> imaging, thermal imaging, and self-supervised algorithms for linear
> inverse problems.
>
> ------------------------------------
> Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents
> speakers working on cutting edge Foundational AI or apply 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 students.
> Please forward this email to other colleagues or graduate 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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>
>
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