[Lisa_seminaires] [Tea Talk] David Rolnick (UPenn) August 24 2018 10:30 AA6214

Michael Noukhovitch mnoukhov at gmail.com
Ven 24 Aou 10:27:26 EDT 2018


Door is currently locked, we are going to delay the talk 15 minutes to
figure this out

On Fri, Aug 24, 2018, 10:18 Michael Noukhovitch <mnoukhov at gmail.com> wrote:

> Reminder: talk in 15
>
> On Thu, Aug 23, 2018, 12:56 Michael Noukhovitch <mnoukhov at gmail.com>
> wrote:
>
>> Sorry for the delay but tomorrow we have *David Rolnick * visiting with
>> Konrad Kording's lab at * UPenn * giving a talk on *August 24 2018* at
>> *10:30* in room *AA6214*
>>
>> **Note the different room AA6214**
>>
>> Will this talk be streamed <https://mila.bluejeans.com/809027115/webrtc>?
>> yes
>> David will be free until only 1:30~2pm so if you'd like to go with him
>> for lunch, stay after the talk and join in!
>>
>> Be sure to come and hear about the impactful, *profound* insights David
>> has to share.
>> Michael
>>
>> P.S. since David was so kind as to step in on short notice, I'll be
>> making (or buying) cookies for early attendees ;)
>>
>> *TITLE* The impact of depth on expressivity and learning
>>
>> *KEYWORDS *Deep Learning Theory
>>
>> *ABSTRACT*
>> Deeper networks are more powerful than shallow ones, but can be harder to
>> train. In this talk, we will rigorously investigate why both of these
>> statements are true. Specifically, we will prove that depth leads to an
>> exponentially greater ability to express even simple polynomial functions.
>> We will identify why some initializations and architectures impede learning
>> in deeper networks, and demonstrate (both mathematically and empirically)
>> several principles to bear in mind when designing an MLP/ConvNet/ResNet
>> that will learn effectively.
>>
>> *BIO*
>> David Rolnick completed his Ph.D. in Mathematics at MIT this year,
>> co-advised by Nir Shavit, Max Tegmark, and Ed Boyden. His work focuses on
>> the mathematical foundations of artificial and biological neural networks.
>> A former NSF Graduate Research Fellow and Fulbright Scholar, David has also
>> worked on machine learning research as an intern at Google and DeepMind. He
>> will be joining Konrad Kording's group at UPenn as an NSF Mathematical
>> Sciences Postdoctoral Research Fellow.
>>
>
-------------- section suivante --------------
Une pièce jointe HTML a été nettoyée...
URL: <http://mailman.iro.umontreal.ca/pipermail/lisa_seminaires/attachments/20180824/d011837f/attachment.html>


Plus d'informations sur la liste de diffusion Lisa_seminaires