Expectation Maximization, Gaussian Mixtures & Belief Propagation, OH MY! w/ Inmar Givoni - Talk #101
Published:Jan 26, 2018 17:23
•1 min read
•Practical AI
Analysis
This podcast episode from Practical AI features a discussion with Inmar Givoni, an Autonomy Engineering Manager at Uber ATG, about her work on the Min-Max Propagation paper. The conversation delves into graphical models, their applications, and the challenges they present. The episode also explores the Min-Max Propagation paper in detail, relating it to belief propagation and affinity propagation, and illustrating its application with the makespan problem. The episode promotes an upcoming AI Conference in New York, highlighting key speakers and offering a discount code for registration.
Key Takeaways
- •The episode discusses graphical models and their applications in AI.
- •It explores the Min-Max Propagation paper and its relationship to belief propagation.
- •The episode promotes an AI conference with key speakers and a discount code.
Reference
“In this episode i'm joined by Inmar Givoni, Autonomy Engineering Manager at Uber ATG, to discuss her work on the paper Min-Max Propagation...”