[Theory] CORRECTION: Talk is CANCELED!! 4/11 TTIC Colloquium: Elchanan Mossel, MIT

[Mary Marre]

*Please Disregard the reminder email that was just sent out! *
*The 4/11 Colloquium Talk is CANCELED.*
(A pre-scheduled reminder email went out by mistake)

********************************************************************
On Tue, Apr 9, 2024 at 9:00 PM Mary Marre <mmarre at ttic.edu> wrote:

> *When:*         Thursday, April 11, 2024 at* 11:00** am** CT   *
>
>
> *Where:       *Talk will be given *live, in-person* at
>
>                    TTIC, 6045 S. Kenwood Avenue
>
>                    5th Floor, Room 530
>
>
>
>
> *Who: *         Elchanan Mossel, MIT
> ------------------------------
> *Title:*          Reconstructing the Geometry of Random Geometric Graphs
>
> *Abstract:* Random geometric graphs are random graph models defined on
> metric spaces. Such a model is defined by first sampling points from a
> metric space and then connecting each pair of sampled points with
> probability that depends on their distance, independently among pairs. In
> this work, we show how to efficiently reconstruct the geometry of the
> underlying space from the sampled graph under the manifold assumption,
> i.e., assuming that the underlying space is a low dimensional manifold and
> that the connection probability is a strictly decreasing function of the
> Euclidean distance between the points in a given embedding of the manifold
> in . Our work complements a large body of work much of  on manifold
> learning, an area of research where TTI played a major role. In Manifold
> Learning the goal is to recover a manifold from sampled points sampled in
> the manifold along with their (approximate) distances. Based on joint work
> with
> Han Huang and Pakawut Jiradilok: https://arxiv.org/html/2402.09591v1
>
> * Host: *Liren Shan <http://lirenshan@ttic.edu/>
>
>
>
> Mary C. Marre
> Faculty Administrative Support
> *Toyota Technological Institute*
> *6045 S. Kenwood Avenue, Rm 517*
> *Chicago, IL  60637*
> *773-834-1757*
> *mmarre at ttic.edu <mmarre at ttic.edu>*
>
>
> On Mon, Apr 8, 2024 at 2:23 PM Mary Marre <mmarre at ttic.edu> wrote:
>
>> *When:*         Thursday, April 11, 2024 at* 11:00** am** CT   *
>>
>>
>> *Where:       *Talk will be given *live, in-person* at
>>
>>                    TTIC, 6045 S. Kenwood Avenue
>>
>>                    5th Floor, Room 530
>>
>>
>>
>>
>> *Who: *         Elchanan Mossel, MIT
>> ------------------------------
>> *Title:*          Reconstructing the Geometry of Random Geometric Graphs
>>
>> *Abstract:* Random geometric graphs are random graph models defined on
>> metric spaces. Such a model is defined by first sampling points from a
>> metric space and then connecting each pair of sampled points with
>> probability that depends on their distance, independently among pairs. In
>> this work, we show how to efficiently reconstruct the geometry of the
>> underlying space from the sampled graph under the manifold assumption,
>> i.e., assuming that the underlying space is a low dimensional manifold and
>> that the connection probability is a strictly decreasing function of the
>> Euclidean distance between the points in a given embedding of the manifold
>> in . Our work complements a large body of work much of  on manifold
>> learning, an area of research where TTI played a major role. In Manifold
>> Learning the goal is to recover a manifold from sampled points sampled in
>> the manifold along with their (approximate) distances. Based on joint work
>> with
>> Han Huang and Pakawut Jiradilok: https://arxiv.org/html/2402.09591v1
>>
>> * Host: *Liren Shan <http://lirenshan@ttic.edu>
>>
>>
>>
>>
>> Mary C. Marre
>> Faculty Administrative Support
>> *Toyota Technological Institute*
>> *6045 S. Kenwood Avenue, Rm 517*
>> *Chicago, IL  60637*
>> *773-834-1757*
>> *mmarre at ttic.edu <mmarre at ttic.edu>*
>>
>
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