<div dir="ltr"><div class="gmail_default" style="font-size:small">This seems to be an interesting talk.</div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div style="margin:0px;padding:0px;border:0px;font-stretch:inherit;font-size:12pt;line-height:inherit;font-family:Calibri,Arial,Helvetica,sans-serif;vertical-align:baseline;color:black"><br></div></div></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <strong class="gmail_sendername" dir="auto">Vassilis Tsotras</strong> <span dir="auto"><<a href="mailto:tsotras@cs.ucr.edu">tsotras@cs.ucr.edu</a>></span><br>Date: Mon, Jan 9, 2023 at 1:38 PM<br>Subject: [UCR_DataScience] Data Science talk by Prof. Greg Ver Steeg, Friday January 13th, 12-1pm, MRB Seminar Room<br>To: <<a href="mailto:datascience@lists.ucr.edu">datascience@lists.ucr.edu</a>><br></div><br><br>
<div>
The first Data Science seminar for 2023 will be this Friday, January
13th, 12:00-1:00pm at the MRB Seminar Room (1st floor).<br>
<div><br>
**** Pizza and refreshments will be provided ****<br>
<br>
To keep track of the number of attendees, please *register* at:</div>
<div><a href="https://www.eventbrite.com/e/data-science-talk-tickets-511073503607" target="_blank">https://www.eventbrite.com/e/data-science-talk-tickets-511073503607</a></div>
<div><br>
<br>
The talk will be given by <b>Prof. Greg Ver Steeg</b>, Department
of Computer Science and Engineering, UCR<br>
<br>
<b>Title:</b><br>
The Age of Creative AI ?<br>
<br>
<b>Abstract:</b><br>
Generative models have made significant advances in recent years,
sparking an explosion of new applications with far-reaching
societal implications. I will discuss the mathematical intuition
behind diffusion models, the core technology behind recent art
generation tools like DALL-E-2, Imagen, Stable Diffusion,
Dreambooth, Lensa, and others. These applications introduce new
technical challenges both for computational scalability and for
controlling outputs to align results with users’ goals and ethical
constraints. I will conclude by discussing an
information-theoretic formulation of diffusion models that can be
used to address these problems.<br>
<br>
<br>
<br>
------------------------------------<br>
Sponsored by the UCR Data Science Center, the purpose of the Data
Science Seminars is to foster collaborations between "core" Data
Science faculty (from CSE/ECE/Stat Departments) and
faculty/visitors from other sciences that face Data Science
problems in their research. These informal gatherings are open to
interested faculty and graduate students. Each meeting will start
with a talk describing research problems and then a discussion
will follow for questions, open problems, ideas for possible
collaborations etc.<br>
<br>
A full list of previous seminars appears at:
<a href="http://datascience.ucr.edu/seminars" target="_blank">http://datascience.ucr.edu/seminars</a><br>
<br>
Please forward this email to other colleagues or graduate students
in your lab that may be interested. Moreover, if you are
interested in giving a Data Science related talk, please contact
me (<a href="mailto:tsotras@cs.ucr.edu" target="_blank">tsotras@cs.ucr.edu</a>).<br>
<br>
Sincerely,<br>
Vassilis Tsotras<br>
Professor, CSE Department<br>
Director, Data Science Major<br>
</div>
</div>
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