Episode 18: Oleh Rybkin, UPenn, on exploration and planning with world models
Episode 18: Oleh Rybkin, UPenn, on exploration and planning with world models
Oleh Rybkin is a Ph.D. student at the University of Pennsylvania and a student researcher at Google. He is advised by Ko... Read more
11 Jul 2022
•
2hr 1min
Episode 17: Andrew Lampinen, DeepMind, on symbolic behavior, mental time travel, and insights from psychology
Episode 17: Andrew Lampinen, DeepMind, on symbolic behavior, mental time travel, and insights from psychology
Andrew Lampinen is a Research Scientist at DeepMind. He previously completed his Ph.D. in cognitive psychology at Stanfo... Read more
28 Feb 2022
•
1hr 59mins
Similar Podcasts
Machine Learning Street Talk (MLST)
The Joy of Why
EconTalk
Lex Fridman Podcast
Freakonomics Radio
The Bill Simmons Podcast
Philosophize This!
The Intelligence from The Economist
The Daily
Brain Inspired
This American Life
Episode 16: Yilun Du, MIT, on energy-based models, implicit functions, and modularity
Episode 16: Yilun Du, MIT, on energy-based models, implicit functions, and modularity
Yilun Du is a graduate student at MIT advised by Professors Leslie Kaelbling, Tomas Lozano-Perez, and Josh Tenenbaum. He... Read more
21 Dec 2021
•
1hr 25mins
Episode 15: Martín Arjovsky, INRIA, on benchmarks for robustness and geometric information theory
Episode 15: Martín Arjovsky, INRIA, on benchmarks for robustness and geometric information theory
Martín Arjovsky did his Ph.D. at NYU with Leon Bottou. Some of his well-known works include the Wasserstein GAN and a pa... Read more
15 Oct 2021
•
1hr 26mins
Most Popular Podcasts
The Joe Rogan Experience
TED Talks Daily
The Tim Ferriss Show
The Daily
Stuff You Should Know
Oprah's SuperSoul Conversations
Armchair Expert with Dax Shepard
Episode 14: Yash Sharma, MPI-IS, on generalizability, causality, and disentanglement
Episode 14: Yash Sharma, MPI-IS, on generalizability, causality, and disentanglement
Yash Sharma is a Ph.D. student at the International Max Planck Research School for Intelligent Systems. He previously st... Read more
24 Sep 2021
•
1hr 27mins
Episode 13: Jonathan Frankle, MIT, on the lottery ticket hypothesis and the science of deep learning
Episode 13: Jonathan Frankle, MIT, on the lottery ticket hypothesis and the science of deep learning
Jonathan Frankle (Google Scholar) (Website) is finishing his PhD at MIT, advised by Michael Carbin. His main research in... Read more
10 Sep 2021
•
1hr 21mins
Episode 12: Jacob Steinhardt, UC Berkeley, on machine learning safety, alignment and measurement
Episode 12: Jacob Steinhardt, UC Berkeley, on machine learning safety, alignment and measurement
Jacob Steinhardt (Google Scholar) (Website) is an assistant professor at UC Berkeley. His main research interest is in ... Read more
18 Jun 2021
•
1hr
Episode 11: Vincent Sitzmann, MIT, on neural scene representations for computer vision and more general AI
Episode 11: Vincent Sitzmann, MIT, on neural scene representations for computer vision and more general AI
Vincent Sitzmann (Google Scholar) (Website) is a postdoc at MIT. His work is on neural scene representations in computer... Read more
20 May 2021
•
1hr 10mins
Episode 10: Dylan Hadfield-Menell, UC Berkeley/MIT, on the value alignment problem in AI
Episode 10: Dylan Hadfield-Menell, UC Berkeley/MIT, on the value alignment problem in AI
Dylan Hadfield-Menell (Google Scholar) (Website) recently finished his PhD at UC Berkeley and is starting as an assistan... Read more
12 May 2021
•
1hr 32mins
Episode 09: Drew Linsley, Brown, on inductive biases for vision and generalization
Episode 09: Drew Linsley, Brown, on inductive biases for vision and generalization
Drew Linsley (Google Scholar) is a Paul J. Salem senior research associate at Brown, advised by Thomas Serre. He is work... Read more
2 Apr 2021
•
1hr 12mins
