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 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. The complete show notes for this episode can be found at twimlai.com/go/440.

Episoder(781)

Inverse Reinforcement Learning Without RL with Gokul Swamy - #643

Inverse Reinforcement Learning Without RL with Gokul Swamy - #643

Today we’re joined by Gokul Swamy, a Ph.D. Student at the Robotics Institute at Carnegie Mellon University. In the final conversation of our ICML 2023 series, we sat down with Gokul to discuss his acc...

21 Aug 202333min

Explainable AI for Biology and Medicine with Su-In Lee - #642

Explainable AI for Biology and Medicine with Su-In Lee - #642

Today we’re joined by Su-In Lee, a professor at the Paul G. Allen School of Computer Science And Engineering at the University Of Washington. In our conversation, Su-In details her talk from the ICML ...

14 Aug 202338min

Transformers On Large-Scale Graphs with Bayan Bruss - #641

Transformers On Large-Scale Graphs with Bayan Bruss - #641

Today we’re joined by Bayan Bruss, Vice President of Applied ML Research at Capital One. In our conversation with Bayan, we covered a pair of papers his team presented at this year’s ICML conference. ...

7 Aug 202338min

The Enterprise LLM Landscape with Atul Deo - #640

The Enterprise LLM Landscape with Atul Deo - #640

Today we’re joined by Atul Deo, General Manager of Amazon Bedrock. In our conversation with Atul, we discuss the process of training large language models in the enterprise, including the pain points ...

31 Jul 202337min

BloombergGPT - an LLM for Finance with David Rosenberg - #639

BloombergGPT - an LLM for Finance with David Rosenberg - #639

Today we’re joined by David Rosenberg, head of the machine learning strategy team in the Office of the CTO at Bloomberg. In our conversation with David, we discuss the creation of BloombergGPT, a cust...

24 Jul 202336min

Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638

Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638

Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, Professor at Northeastern University, and Founder of Altdeep.ai. In our conversation with Robert, we explore wheth...

17 Jul 202348min

Privacy vs Fairness in Computer Vision with Alice Xiang - #637

Privacy vs Fairness in Computer Vision with Alice Xiang - #637

Today we’re joined by Alice Xiang, Lead Research Scientist at Sony AI, and Global Head of AI Ethics at Sony Group Corporation. In our conversation with Alice, we discuss the ongoing debate between pri...

10 Jul 202337min

Unifying Vision and Language Models with Mohit Bansal - #636

Unifying Vision and Language Models with Mohit Bansal - #636

Today we're joined by Mohit Bansal, Parker Professor, and Director of the MURGe-Lab at UNC, Chapel Hill. In our conversation with Mohit, we explore the concept of unification in AI models, highlightin...

3 Jul 202348min

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