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Hot Topics: Recent Progress in Deterministic and Stochastic Fluid-Structure Interaction: "Integrating Cell-Based Numerical Analysis and Machine Learning for Assessing the Binding Behavior of Circulating Tumor Cells in Microfluidic Devices and Achieving Phenotype Classification"
Presenter
- Yifan Wang
December 7, 2023
SLMath
Srinivasan Arunachalam - Overview of learning structured quantum states - IPAM at UCLA
Presenter
- Srinivasan Arunachalam
October 18, 2023
IPAM
Discovering the geometry of neural representations via topological tools.
Presenter
- Vladimir Itskov
October 16, 2023
ICERM
Jin Peng Liu - Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Machine Learning
Presenter
- Jin-Peng Liu
October 6, 2023
IPAM
Plenary Talk: Applied Statistics, Data Science, and the Assessment of Climate Risk
Presenter
- Steve Sain
June 9, 2023
IMSI
Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Presenter
- Priya Donti
February 28, 2023
IPAM
Rank-one Boolean tensor factorization and the multilinear polytope
Presenter
- Aida Khajavirad
February 2, 2023
ICERM
Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning from Observation, and Off-Policy Reinforcement Learning
Presenter
- Peter Stone
July 30, 2020
IAS
How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification
Presenter
- Matthias Rupp
November 21, 2019
IPAM
Scalable Algorithms in the Age of Big Data and Network Sciences
Presenter
- Shang-Hua Teng
November 29, 2018
IPAM