[Lisa_seminaires] [Tea Talk] Petar Veličković (Cambridge / Mila) August 32018 10:30 AA3195

Michael Noukhovitch mnoukhov at gmail.com
Ven 3 Aou 10:31:07 EDT 2018


Reminder this is now

On Tue, Jul 31, 2018, 16:12 Michael Noukhovitch <mnoukhov at gmail.com> wrote:

> Correction for the streaming link
> https://mila.bluejeans.com/809027115/webrtc
>
> On Tue, Jul 31, 2018, 15:58 Michael Noukhovitch <mnoukhov at gmail.com>
> wrote:
>
>> This week we have *Petar Veličković * from * Cambridge/Mila * giving a
>> talk on *August 3rd 2018* at *10:30* in room *AA3195*
>>
>> Will this talk be streamed <https://mila.bluejeans.com/1365483656/webrtc>?
>> yes
>>
>> Come to the talk and make sure to pay attention, because this talk should
>> be great to connect the dots!
>> Michael
>>
>> *TITLE* Keeping our graphs attentive
>>
>> *KEYWORDS *graph structured, attention, computational biology
>>
>> *ABSTRACT*
>> A multitude of important real-world datasets (especially in biology) come
>> together with some form of graph structure: social networks, citation
>> networks, protein-protein interactions, brain connectome data, etc.
>> Extending neural networks to be able to properly deal with this kind of
>> data is therefore a very important direction for machine learning research,
>> but one that has received comparatively rather low levels of attention
>> until very recently. Attentional mechanisms represent a very promising
>> direction for extending the established convolutional operator on images to
>> work on arbitrary graphs, as they satisfy many of the desirable features
>> for a convolutional operator. Through this talk, I will focus on my work on
>> Graph Attention Networks (GATs), where these theoretical properties have
>> been further validated by solid results on transductive as well as
>> inductive node classification benchmarks. I will also outline some of the
>> earlier efforts towards deploying attention-style operators on graph
>> structures, as well as very exciting recent work that expands on GATs and
>> deploys them in more general circumstances (such as EAGCN, DeepInf, and
>> applications to solving the Travelling Salesman Problem). Time permitting,
>> I will also present some of the relevant related graph-based work in the
>> computational biology and medical imaging domains that I have been involved
>> in.
>>
>> *BIO*
>> Petar Veličković is currently a final-year PhD student in Machine
>> Learning and Bioinformatics at the Department of Computer Science and
>> Technology of the University of Cambridge. He also holds a BA degree in
>> Computer Science from Cambridge, having completed the Computer Science
>> Tripos in 2015. In addition, he has been involved in research placements at
>> Nokia Bell Labs (working with Nicholas Lane) and the Montréal Institute of
>> Learning Algorithms (working with Adriana Romero and Yoshua Bengio). His
>> current research interests broadly involve devising neural network
>> architectures that operate on nontrivially structured data (such as
>> graphs), and their applications in bioinformatics and medicine. He has
>> published his work in these areas at both machine learning venues (ICLR,
>> NIPS ML4H, ICML WCB) and biomedical venues and journals (Bioinformatics,
>> PervasiveHealth)
>>
>
-------------- section suivante --------------
Une pièce jointe HTML a été nettoyée...
URL: <http://mailman.iro.umontreal.ca/pipermail/lisa_seminaires/attachments/20180803/61308768/attachment.html>


Plus d'informations sur la liste de diffusion Lisa_seminaires