Calendar

The recent success of neural networks enables a better interpretation of 3D point clouds, but processing a large-scale 3D scene remains a challenging problem. Most current approaches divide a large-scale scene into small regions and combine the local predictions together. However, this scheme inevitably involves additional stages for pre- and post-processing and may also degrade the final output due to predictions in a local perspective. This talk introduces Fast Point Transformer that consists of a new lightweight self-attention layer. Our approach encodes continuous 3D coordinates, and the voxel hashing-based architecture boosts computational efficiency. The proposed method is demonstrated with 3D semantic segmentation and 3D detection. The accuracy of our approach is competitive to the best voxel-based method, and our network achieves 129 times faster inference time than the state-of-the-art, Point Transformer, with a reasonable accuracy trade-off in 3D semantic segmentation on S3DIS dataset.

For information on how to join, please see:  https://cmsa.fas.harvard.edu/seminars-and-colloquium/

On June 6–8, the Harvard CMSA will host the 2022 Symposium on Foundations of Responsible Computing (FORC).

The symposium will be held in hybrid format. It will be in-person at Room G10, CMSA, located at 20 Garden Street, Cambridge, MA and also streamed on Zoom Webinar.

The Symposium on Foundations of Responsible Computing (FORC) is a forum for mathematical research in computation and society writ large. The Symposium aims to catalyze the formation of a community supportive of the application of theoretical computer science, statistics, economics, and other relevant analytical fields to problems of pressing and anticipated societal concern.

In-person registration is required. Register here to attend in-person.

Zoom registration is required to receive the webinar link. Register here to attend virtually.

For more information, please see the event webpage: https://cmsa.fas.harvard.edu/2022-forc/

Organizers: Cynthia Dwork, Harvard SEAS | Omer Reingold, Stanford | Elisa Celis, Yale

Keynote Speakers:

Isaac Kohane, Harvard Medical School

Caroline Nobo, Yale

Nuria Oliver, Data-Pop Alliance

Speakers:

Sushant Agarwal, University of Waterloo

Hedyeh Beyhaghi, Carnegie Mellon University

Sadia Chowdhury, York University

Aloni Cohen, University of Chicago

Emily Diana, University of Pennsylvania

Elbert Du, Harvard University

Matthew Eichhorn, Cornell University

Badih Ghazi, Google Research

Keegan Harris, Carnegie Mellon University

Shengyuan Hu, Carnegie Mellon University

Mahbod Majid, University of Waterloo

Georgy Noarov, University of Pennsylvania

Rojin Rezvan, University of Texas at Austin

Kunal Talwar, Apple

Giuseppe Vietri, University of Minnesota

Jiayuan Ye, National University of Singapore

Christina Yu, Cornell University

Mingxun Zhou, Carnegie Mellon University

Samson Zhou, Carnegie Mellon University

Tijana Zrnic, University of California, Berkeley

https://cmsa.fas.harvard.edu/2022-forc/

On June 6–8, the Harvard CMSA will host the 2022 Symposium on Foundations of Responsible Computing (FORC).

The symposium will be held in hybrid format. It will be in-person at Room G10, CMSA, located at 20 Garden Street, Cambridge, MA and also streamed on Zoom Webinar.

The Symposium on Foundations of Responsible Computing (FORC) is a forum for mathematical research in computation and society writ large. The Symposium aims to catalyze the formation of a community supportive of the application of theoretical computer science, statistics, economics, and other relevant analytical fields to problems of pressing and anticipated societal concern.

In-person registration is required. Register here to attend in-person.

Zoom registration is required to receive the webinar link. Register here to attend virtually.

For more information, please see the event webpage: https://cmsa.fas.harvard.edu/2022-forc/

Organizers: Cynthia Dwork, Harvard SEAS | Omer Reingold, Stanford | Elisa Celis, Yale

Keynote Speakers:

Isaac Kohane, Harvard Medical School

Caroline Nobo, Yale

Nuria Oliver, Data-Pop Alliance

Speakers:

Sushant Agarwal, University of Waterloo

Hedyeh Beyhaghi, Carnegie Mellon University

Sadia Chowdhury, York University

Aloni Cohen, University of Chicago

Emily Diana, University of Pennsylvania

Elbert Du, Harvard University

Matthew Eichhorn, Cornell University

Badih Ghazi, Google Research

Keegan Harris, Carnegie Mellon University

Shengyuan Hu, Carnegie Mellon University

Mahbod Majid, University of Waterloo

Georgy Noarov, University of Pennsylvania

Rojin Rezvan, University of Texas at Austin

Kunal Talwar, Apple

Giuseppe Vietri, University of Minnesota

Jiayuan Ye, National University of Singapore

Christina Yu, Cornell University

Mingxun Zhou, Carnegie Mellon University

Samson Zhou, Carnegie Mellon University

Tijana Zrnic, University of California, Berkeley

https://cmsa.fas.harvard.edu/2022-forc/

Parameterized quantum circuits (PQCs) are the leading proposal for near-term quantum computing, with applications including electronic structure, dynamical simulation, and solving linear systems. However, there has recently been major progress in understanding the training landscapes for PQCs, and the results paint a concerning picture. Exponentially vanishing gradients, known as barren plateaus, have been shown to occur for various situations, including circuits that are either deep or noisy or that generate much entanglement. This can lead to exponential resource scaling for algorithms based on PQCs. On the flip side, some architectures for PQCs have been proven to be immune to barren plateaus. Moreover, the dynamical Lie algebra for a PQC has been connected to presence or absence of barren plateaus, leading to an algebraic theory for the trainability of PQCs. This theory could allow us to engineer favorable training landscapes for PQCs. In this talk, I will overview our theoretical understanding of PQCs training landscapes and how we might engineer them to achieve scalability for near-term quantum computing.

https://harvard.zoom.us/j/779283357?pwd=MitXVm1pYUlJVzZqT3lwV2pCT1ZUQT09

On June 6–8, the Harvard CMSA will host the 2022 Symposium on Foundations of Responsible Computing (FORC).

The symposium will be held in hybrid format. It will be in-person at Room G10, CMSA, located at 20 Garden Street, Cambridge, MA and also streamed on Zoom Webinar.

The Symposium on Foundations of Responsible Computing (FORC) is a forum for mathematical research in computation and society writ large. The Symposium aims to catalyze the formation of a community supportive of the application of theoretical computer science, statistics, economics, and other relevant analytical fields to problems of pressing and anticipated societal concern.

In-person registration is required. Register here to attend in-person.

Zoom registration is required to receive the webinar link. Register here to attend virtually.

For more information, please see the event webpage: https://cmsa.fas.harvard.edu/2022-forc/

Organizers: Cynthia Dwork, Harvard SEAS | Omer Reingold, Stanford | Elisa Celis, Yale

Keynote Speakers:

Isaac Kohane, Harvard Medical School

Caroline Nobo, Yale

Nuria Oliver, Data-Pop Alliance

Speakers:

Sushant Agarwal, University of Waterloo

Hedyeh Beyhaghi, Carnegie Mellon University

Sadia Chowdhury, York University

Aloni Cohen, University of Chicago

Emily Diana, University of Pennsylvania

Elbert Du, Harvard University

Matthew Eichhorn, Cornell University

Badih Ghazi, Google Research

Keegan Harris, Carnegie Mellon University

Shengyuan Hu, Carnegie Mellon University

Mahbod Majid, University of Waterloo

Georgy Noarov, University of Pennsylvania

Rojin Rezvan, University of Texas at Austin

Kunal Talwar, Apple

Giuseppe Vietri, University of Minnesota

Jiayuan Ye, National University of Singapore

Christina Yu, Cornell University

Mingxun Zhou, Carnegie Mellon University

Samson Zhou, Carnegie Mellon University

Tijana Zrnic, University of California, Berkeley

https://cmsa.fas.harvard.edu/2022-forc/