Weakly Supervised Causal Representation Learning with Johann Brehmer - #605

Weakly Supervised Causal Representation Learning with Johann Brehmer - #605

Today we’re excited to kick off our coverage of the 2022 NeurIPS conference with Johann Brehmer, a research scientist at Qualcomm AI Research in Amsterdam. We begin our conversation discussing some of the broader problems that causality will help us solve, before turning our focus to Johann’s paper Weakly supervised causal representation learning, which seeks to prove that high-level causal representations are identifiable in weakly supervised settings. We also discuss a few other papers that the team at Qualcomm presented, including neural topological ordering for computation graphs, as well as some of the demos they showcased, which we’ll link to on the show notes page. The complete show notes for this episode can be found at twimlai.com/go/605.

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(1/5) HelloVera - AI-Powered Customer Support  - TWiML Talk #18

(1/5) HelloVera - AI-Powered Customer Support - TWiML Talk #18

This week I'm on location at NYU/ffVC AI NexusLab startup accelerator, speaking with founders from the 5 companies in the program's inaugural batch. This interview is with HelloVera, a company applyin...

7 Huhti 201725min

Interactive Machine Learning Systems with Alekh Agarwal - TWiML Talk #17

Interactive Machine Learning Systems with Alekh Agarwal - TWiML Talk #17

This week my guest is Alekh Agarwal. Alekh is a researcher with Microsoft Research whose research is focused on Interactive Machine Learning. In our discussion, Alekh and I discuss various aspects of ...

31 Maalis 201730min

Machine Learning in Cybersecurity with Evan Wright - TWiML Talk #16

Machine Learning in Cybersecurity with Evan Wright - TWiML Talk #16

This week my guest is Evan Wright, principal data scientist at cybersecurity startup Anomali. In my interview with Evan, he and I discussed about a number of topics surrounding the use of machine lear...

24 Maalis 20171h 4min

Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon - TWiML Talk #15

Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon - TWiML Talk #15

My guest this week is Stefano Ermon, Assistant Professor of Computer Science at Stanford University, and Fellow at Stanford’s Woods Institute for the Environment. Stefano and I met at the Re-Work Deep...

17 Maalis 201754min

Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta — TWiML Talk #14

Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta — TWiML Talk #14

This week my guest is Shubho Sengupta, Research Scientist at Baidu. I had the pleasure of meeting Shubho at the Rework Deep Learning Summit earlier this year, where he delivered a presentation on Syst...

10 Maalis 20171h 12min

Understanding Deep Neural Nets with Dr. James McCaffrey - TWiML Talk #13

Understanding Deep Neural Nets with Dr. James McCaffrey - TWiML Talk #13

My guest this week is Dr. James McCaffrey, research engineer at Microsoft Research. James and I cover a ton of ground in this conversation, including recurrent neural nets (RNNs), convolutional neural...

3 Maalis 20171h 16min

Brendan Frey - Reprogramming the Human Genome with AI - TWiML Talk #12

Brendan Frey - Reprogramming the Human Genome with AI - TWiML Talk #12

My guest this week is Brendan Frey, Professor of Engineering and Medicine at the University of Toronto and Co-Founder and CEO of the startup Deep Genomics. Brendan and I met at the Re-Work Deep Learni...

24 Helmi 20171h

Hilary Mason - Building AI Products - TWiML Talk #11

Hilary Mason - Building AI Products - TWiML Talk #11

My guest this time is Hilary Mason. Hilary was one of the first “famous” data scientists. I remember hearing her speak back in 2011 at the Strange Loop conference in St. Louis. At the time she was Chi...

25 Tammi 201717min

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