Connectionists: ICBINB Monthly Seminar Series Talk: Stephan Mandt

[Francisco J. Rodríguez Ruiz]

Dear all,

After the break, we are pleased to announce that the next speaker of the *“I
Can’t Believe It’s Not Better!” (**ICBINB)* virtual seminar series
will be *Stephan
Mandt** (**University of California, Irvine**)*. More details about this
series and the talk are below.

The *"I Can't Believe It's Not Better!" (ICBINB) monthly online seminar
series* seeks to shine a light on the "stuck" phase of research. Speakers
will tell us about their most beautiful ideas that didn't "work", about
when theory didn't match practice, or perhaps just when the going got
tough. These talks will let us peek inside the file drawer of unexpected
results and peer behind the curtain to see the real story of *how real
researchers did real research*.

*When: *February 2nd, 2023 @ 6pm CET / 12pm EST / 9am PST

*Where: *RSVP for the Zoom link here:
https://us02web.zoom.us/meeting/register/tZIpfu2hqTsvHNV89dmCB0RGvVUt6k_heQwx

*Title: **Why Neural Compression Has Not Taken Off (Yet)*

*Abstract:** Despite recent advancements in neural data compression,
classical codecs such as JPEG and BPG have remained industry standards to
date. The talk will provide an introduction to the promising field of
neural compression, focusing on why these new compression technologies have
not seen the 10X performance boosts that deep learning has already achieved
in other fields, such as NLP or vision. The talk will also present new
avenues for neural compression research that provide novel directions for
probabilistic modeling and show promise to make neural compression more
practical and widely applicable across industries.*

*Bio:** Stephan Mandt is an Associate Professor of Computer Science and
Statistics at the University of California, Irvine. From 2016 until 2018,
he was a Senior Researcher and Head of the statistical machine learning
group at Disney Research in Pittsburgh and Los Angeles. He held previous
postdoctoral positions at Columbia University and Princeton University.
Stephan holds a Ph.D. in Theoretical Physics from the University of
Cologne, where he received the German National Merit Scholarship. He is
furthermore a recipient of the NSF CAREER Award, the UCI ICS Mid-Career
Excellence in Research Award, the German Research Foundation’s Mercator
Fellowship, a Kavli Fellow of the U.S. National Academy of Sciences, a
member of the ELLIS Society, and a former visiting researcher at Google
Brain. Stephan is an Action Editor of the Journal of Machine Learning
Research and Transaction on Machine Learning Research and regularly serves
as an Area Chair for NeurIPS, ICML, AAAI, and ICLR. His research is
currently supported by NSF, DARPA, IARPA, DOE, Disney, Intel, and Qualcomm.*

For more information and for ways to get involved, please visit us at
http://icbinb.cc/, Tweet to us @ICBINBWorkhop
<https://twitter.com/ICBINBWorkshop>, or email us at
cant.believe.it.is.not.better at gmail.com.


--
Best wishes,
The ICBINB Organizers
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