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Machine Learning Summer School: Geometrical and Topological Data Analysis
Presenters
- Ery Arias-Castro
- Yusu Wang
June 30, 2023
SLMath
Machine Learning Summer School: Geometrical and Topological Data Analysis
Presenters
- Ery Arias-Castro
- Yusu Wang
June 29, 2023
SLMath
Leveraging Data Science and Machine Learning for Optimal Global Health Outcomes
Presenter
- Joan LaRovere
May 17, 2023
IMSI
Using data-informed methods towards an improved understanding and representation of atmospheric gravity waves
Presenter
- Aditi Sheshadri
November 1, 2022
IMSI
Using data-driven predictions to constrain climate model uncertainty in the time remaining until critical global warming thresholds are reached
Presenter
- Noah Diffenbaugh
September 20, 2022
IMSI
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
Presenter
- Dominik Rothenhaeusler
March 9, 2022
SLMath
Low-latency Noise Mitigation Techniques in Gravitational-wave Detector Data Using Auxiliary Sensor Information
Presenter
- Patrick Godwin
December 3, 2021
IPAM
Rapid and robust parameter estimation for gravitational wave observations
Presenter
- Jonathan Gair
December 3, 2021
IPAM