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

Petar Veličković pv273 at cam.ac.uk
Ven 3 Aou 13:08:43 EDT 2018


I'd like to thank everyone for coming to the talk today! I hope you've 
found it useful.

You may find the slides from today on my webpage:
https://www.cl.cam.ac.uk/~pv273/slides/MILA-attn.pdf
and I'm happy to answer any offline questions you might have.

Thanks,
Petar

On 2018-08-03 10:31, Michael Noukhovitch wrote:
> 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 [2]
>> 
>> 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 [1]? 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)
> 
>  --
>  You received this message because you are subscribed to the Google
> Groups "MILA Tous" group.
>  To unsubscribe from this group and stop receiving emails from it,
> send an email to mila-tous+unsubscribe at mila.quebec.
> 
> 
> Links:
> ------
> [1] https://mila.bluejeans.com/1365483656/webrtc
> [2] https://mila.bluejeans.com/809027115/webrtc

-- 
Petar Veličković

Research Assistant in Computational Biology
PhD Student in Machine Learning and Bioinformatics
Trinity College, University of Cambridge

http://www.cl.cam.ac.uk/~pv273


Plus d'informations sur la liste de diffusion Lisa_seminaires