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02:51 A Physics-Informed Deep Learning Investigation of… A Physics-Informed Deep Learning Investigation of Wind-Wave Interactions, Vassiliki Mancoridis, UG '24 (2986906)	A Physics-Informed Deep Learning Investigation of Wind-Wave Interactions, Vassiliki Mancoridis, UG '24 (2986906) Turbulence modeling can shed light on the physics that occurs at the boundary between ocean waves and overhead wind, which is useful in the fields of oceanography, renewable energy, weather… wind waves learning models simulation modeling wave tuning hyperparameter loss hyperparameters knowledge nets network space input equations respect model techniques From Research Princeton Research Day 2 likes 59 plays Date May 4th, 2023 Speaker Vassiliki Mancoridis, UG '24 (2986906) Department Computer Science
47:40 CITP Seminar- Pranay Anchuri - Insights into… CITP Seminar- Pranay Anchuri - Insights into Predictability of Life Outcomes- A Data-Driven Approach	CITP Seminar- Pranay Anchuri - Insights into Predictability of Life Outcomes- A Data-Driven Approach Predicting life outcomes is a challenging task even for advanced machine learning (ML) algorithms. At the same time, accurately predicting these outcomes has important implications in providing… machine learning algorithms data predictability statistics outcomes learning model score impact models hyperparameter tuning outcome features question pipelines variables quality step framework machine talk improvement From CI Center for Information Technology Policy 0 likes 6 plays Date October 26th, 2021 Speaker Pranya Anchuri Department Center for InformationTechnology Policy
04:58 Unifying Caching Objectives with Learning Relaxed… Unifying Caching Objectives with Learning Relaxed Belady	Unifying Caching Objectives with Learning Relaxed Belady Caching is crucial to the end-to-end performance of distributed systems. By storing content that is commonly requested so that it can be served faster, this technique can improve request latency and… prd20 objects ratio object size objectives cache algorithm art access requests performance caching workloads unit byte times miss bins eviction hyperparameter From Research Princeton Research Day 0 likes 7 plays Date April 29th, 2020 Speaker Audrey Cheng '20 Department Computer Science
04:58 Unifying Caching Objectives with Learning Relaxed… Unifying Caching Objectives with Learning Relaxed Belady	Unifying Caching Objectives with Learning Relaxed Belady Caching is crucial to the end-to-end performance of distributed systems. By storing content that is commonly requested so that it can be served faster, this technique can improve request latency and… prd20 objects ratio object size objectives cache algorithm art access requests performance caching workloads unit byte times miss bins eviction hyperparameter From Research Princeton Research Day 0 likes 30 plays Date April 29th, 2020 Speaker Audrey Cheng '20 Department Computer Science
04:46 The Path to Safe Fusion Energy through Deep… The Path to Safe Fusion Energy through Deep Learning	The Path to Safe Fusion Energy through Deep Learning San Diego Supercomputer Center Published on May 15, 2019 When the plasma inside a fusion reactor becomes unstable, there can be a release of energy that seriously damages the reactor. Key to… captions_8_6_2020 fusion plasma energy cancer methods gas cross domain tuning comparison apples hyperparameter variables tang professor machines vector learning prediction disruptions From Chris Cane 0 likes 19 plays