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Institute for Pure & Applied Mathematics (IPAM) · Science

Institute for Pure & Applied Mathematics (IPAM)

The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.

Episodes

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Bo Li: "Secure Learning in Adversarial Environments"

20 Oct 2020
39m
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Pratik Chaudhari: "Learning with Few Labeled Data"

20 Oct 2020
42m
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Oscar Beijbom: "Data, detection, and metrics for autonomous vehicles"

20 Oct 2020
41m
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Adam Oberman: "Contributions to deep learning using a mathematical approach: improved model unce..."

20 Oct 2020
34m
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Adrien Gaidon: "The 3 R's & P's of Autonomous Driving: Robustness, Randomness, & Risk in Percept..."

20 Oct 2020
46m
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Benedetto Piccoli: "Beyond Vehicles and Other Flow Systems"

29 Sep 2020
1h 16m
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Paola Goatin: "Macroscopic models for Autonomous Vehicles"

29 Sep 2020
1h 17m
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Katie Driggs-Campbell: "Human Factors" (Part 2/2)

29 Sep 2020
1h 11m
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Jana Kosecka: "Perception and Learning for Autonomous Driving" (Part 2/2)

29 Sep 2020
1h 14m
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Jana Kosecka: "Perception and Learning for Autonomous Driving" (Part 1/2)

29 Sep 2020
1h 17m
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M. Grazia Speranza: "Fundamentals of optimization" (Part 2/2)

29 Sep 2020
1h 11m
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Katie Driggs-Campbell: "Human Factors" (Part 1/2)

29 Sep 2020
1h 9m
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M. Grazia Speranza: "Fundamentals of optimization" (Part 1/2)

29 Sep 2020
41m
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Dan Work: "Transportation Engineering for Connected and Automated Vehicles" (Part 2/2)

29 Sep 2020
1h 12m
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Jonathan Sprinkle: "Cyber-Physical Systems Challenges: Vehicle Automation & Data Acqu..." (Part 2/2)

29 Sep 2020
1h 7m
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Bryant Walker Smith: "Legal Aspects of Autonomous Driving"

29 Sep 2020
1h 5m
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Jonathan Sprinkle: "Cyber-Physical Systems Challenges: Vehicle Automation & Data Acqu..." (Part 1/2)

29 Sep 2020
1h 10m
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Frank Noé: "Fundamentals of Artificial Intelligence and Machine Learning" (Part 2/2)

29 Sep 2020
1h 5m
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Benjamin Seibold: "Basic Traffic Models and Traffic Waves" (Part 2/2)

29 Sep 2020
1h 12m
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Dan Work: "Transportation Engineering for Connected and Automated Vehicles" (Part 1/2)

29 Sep 2020
1h 13m
Page 94

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