Start date cannot be after end date.
Scientific and statistical challenges to quantifying uncertainties in climate projections
Presenter
- Charles Jackson
June 2, 2011
IMA
Advances in Probabilistic Generative Modeling for Scientific Machine Learning
Presenter
- Fei Sha
June 11, 2025
IMSI
Robin Kothari - Mean estimation when you have the source code; or, quantum Monte Carlo methods
Presenter
- Robin Kothari
October 2, 2023
IPAM
Petros Koumoutsakos - Alloys: Artificial Intelligence and Scientific Computing for Fluid Mechanics
Presenter
- Petros Koumoutsakos
January 11, 2023
IPAM
Solving Nonlinear and Time-Dependent Equations for the Department of Energy
Presenter
- Carol Woodward
December 1, 2017
IMA
Scalable and efficient multicanonical algorithms for first-principles based Monte Carlo simulations
Presenter
- Ying Li
October 2, 2017
IPAM
Building a Gaussian Process Statistical and Quantitative Learning Framework for Scientific Applications
Presenter
- Xiaoye Li
September 13, 2025
ICERM
Oliver Eberle - Interpretability for Deep Learning: Theory, Applications and Scientific Insights
Presenter
- Oliver Eberle
October 17, 2024
IPAM
Pushing The Scalability Limits in Sparse Matrix Operations
Presenter
- Luke Olson
November 6, 2018
IPAM
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty
Presenter
- Paris Perdikaris
September 28, 2018
IPAM
Quasiparticle Atomistic Approach to model a Self-Assembly Kinetics of Complex Structures and Structural Defects
Presenter
- Helena Zapolsky
October 19, 2017
IPAM