[CMU AI Seminar] Oct 12 at 12pm (Zoom) -- Kashif Rasul (Morgan Stanley) -- Modern Neural Probabilistic Forecasting -- AI Seminar sponsored by Morgan Stanley

Shaojie Bai shaojieb at cs.cmu.edu
Mon Oct 11 16:58:36 EDT 2021


Hi all,

Just a reminder that the CMU AI Seminar <http://www.cs.cmu.edu/~aiseminar/> is
tomorrow *12pm-1pm*:
https://cmu.zoom.us/j/91578896206?pwd=SVhjS05Nb0FkTllOMzROTElCdUVXdz09.

*Kashif Rasul (Morgan Stanley)* will be talking about his research on
neural probabilistic forecasting.

Thanks,
Shaojie

On Sat, Oct 9, 2021 at 12:29 PM Shaojie Bai <shaojieb at cs.cmu.edu> wrote:

> Dear all,
>
> We look forward to seeing you *next Tuesday (10/12)* from *1**2:00-1:00
> PM (U.S. Eastern time)* for the next talk of our *CMU AI seminar*,
> sponsored by Morgan Stanley
> <https://www.morganstanley.com/about-us/technology/>.
>
> To learn more about the seminar series or see the future schedule, please
> visit the seminar website <http://www.cs.cmu.edu/~aiseminar/>.
>
> On 10/12, *Kashif Rasul* (Morgan Stanley) will be giving a talk on "*Modern
> Neural Probabilistic Forecasting*" and some of the interesting projects
> that Morgan Stanley's ML research team has been working on.
>
> *Title*:  Modern Neural Probabilistic Forecasting
>
> *Talk Abstract*: In this talk we will introduce the foundations of Neural
> Probabilistic Forecasting by reviewing its building blocks as well as some
> issues. We will then introduce how probabilistic forecasting works in this
> setting and talk about two recent papers which use Normalizing Flows and
> Energy-based methods to tackle this problem.
>
> *Speaker Bio*:  Kashif Rasul is a Machine Learning Research scientist
> working on deep learning based methods and their applications at Morgan
> Stanley.
>
> *Zoom Link*:
> https://cmu.zoom.us/j/91578896206?pwd=SVhjS05Nb0FkTllOMzROTElCdUVXdz09
> <https://www.google.com/url?q=https://cmu.zoom.us/j/91578896206?pwd%3DSVhjS05Nb0FkTllOMzROTElCdUVXdz09&sa=D&source=calendar&ust=1634228491812285&usg=AOvVaw2XUhPjMASH1UOInRbqmS9W>
>
> Thanks,
> Shaojie Bai (MLD)
>
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