Spatiotemporal Data Analysis with Rose Yu - #508

Spatiotemporal Data Analysis with Rose Yu - #508

Today we’re joined by Rose Yu, an assistant professor at the Jacobs School of Engineering at UC San Diego. Rose’s research focuses on advancing machine learning algorithms and methods for analyzing large-scale time-series and spatial-temporal data, then applying those developments to climate, transportation, and other physical sciences. We discuss how Rose incorporates physical knowledge and partial differential equations in these use cases and how symmetries are being exploited. We also explore their novel neural network design that is focused on non-traditional convolution operators and allows for general symmetry, how we get from these representations to the network architectures that she has developed and another recent paper on deep spatio-temporal models. The complete show note for this episode can be found at twimlai.com/go/508.

Jaksot(782)

Trends in Graph Machine Learning with Michael Bronstein - #446

Trends in Graph Machine Learning with Michael Bronstein - #446

Today we’re back with the final episode of AI Rewind joined by Michael Bronstein, a professor at Imperial College London and the Head of Graph Machine Learning at Twitter. In our conversation with Mi...

11 Tammi 20211h 14min

Trends in Natural Language Processing with Sameer Singh - #445

Trends in Natural Language Processing with Sameer Singh - #445

Today we continue the 2020 AI Rewind series, joined by friend of the show Sameer Singh, an Assistant Professor in the Department of Computer Science at UC Irvine.  We last spoke with Sameer at our Na...

7 Tammi 20211h 21min

Trends in Computer Vision with Pavan Turaga - #444

Trends in Computer Vision with Pavan Turaga - #444

AI Rewind continues today as we’re joined by Pavan Turaga, Associate Professor in both the Departments of Arts, Media, and Engineering & Electrical Engineering, and the Interim Director of the School ...

4 Tammi 20211h 9min

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Today we kick off our annual AI Rewind series joined by friend of the show Pablo Samuel Castro, a Staff Research Software Developer at Google Brain. Pablo joined us earlier this year for a discussion...

30 Joulu 20201h 26min

MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442

MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442

Today we close out our NeurIPS series joined by Aravind Rajeswaran, a PhD Student in machine learning and robotics at the University of Washington. At NeurIPS, Aravind presented his paper MOReL: Mode...

28 Joulu 202038min

Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441

Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441

As we continue our NeurIPS 2020 series, we’re joined by friend-of-the-show Charles Isbell, Dean, John P. Imlay, Jr. Chair, and professor at the Georgia Tech College of Computing. This year Charles ga...

23 Joulu 202046min

Natural Graph Networks with Taco Cohen - #440

Natural Graph Networks with Taco Cohen - #440

Today we kick off our NeurIPS 2020 series joined by Taco Cohen, a Machine Learning Researcher at Qualcomm Technologies. In our conversation with Taco, we discuss his current research in equivariant n...

21 Joulu 202058min

Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439

Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439

Today we close out our re:Invent series joined by Edgar Bahilo Rodriguez, Lead Data Scientist in the industrial applications division of Siemens Energy. Edgar spoke at this year's re:Invent conferenc...

18 Joulu 202041min

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