Today we kick off our NeurIPS 2020 series joined by Taco Cohen, a Machine Learning Researcher at Qualcomm Technologies.
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In our conversation with Taco, we discuss his current research in equivariant networks and video compression using generative models, as well as his paper “Natural Graph Networks,” which explores the concept of “naturality, a generalization of equivariance” which suggests that weaker constraints will allow for a “wider class of architectures.”
We also discuss some of Taco’s recent research on neural compression and a very interesting visual demo for equivariance CNNs that Taco and the Qualcomm team released during the conference.
Thanks to our Sponsor!
I’d like to send a huge thank you to our friends at Qualcomm Technologies for their continued support of the podcast, and their sponsorship of this NeurIPS series! 
Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their work makes it possible for billions of users around the world to have AI-enhanced experiences on devices powered by Qualcomm Technologies. To learn more about what Qualcomm Technologies is up to on the research front, visit twimlai.com/qualcomm.
Connect with Taco
Resources
- Paper: Natural Graph Networks
- Blog: Helping machines see and understand like humans
- Differential Geometry meets Deep Learning Workshop
- Qualcomm Artificial Intelligence | AI Machine Learning
- Qualcomm Artificial Intelligence Research
- Blog: Exploring what’s possible when machine “sight” evolves
- Blog: NeurIPS 2020: Explore our latest innovations in AI (video)
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“More On That Later” by Lee Rosevere licensed under CC By 4.0
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