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Jin Peng Liu - Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Machine Learning
Presenter
- Jin-Peng Liu
October 6, 2023
IPAM
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning
Presenter
- Samuel Blau
May 1, 2023
IPAM
Applications of machine learning in low-latency electromagnetic counterpart inference from gravitational waves
Presenter
- Deep Chatterjee
November 29, 2021
IPAM
An overview of hybrid physics/machine learning modelling at Michelin: from rubber manufacturing simulation to real-time tire performance prediction opportunities
Presenter
- Raphael Meunier
December 1, 2025
IMSI
Cluster deep loci and cluster algebras over finite fields
Presenter
- Jose Simental Rodriguez
September 15, 2025
ICERM
Maria Schuld - How to rethink quantum machine learning - IPAM at UCLA
Presenter
- Maria Schuld
October 16, 2023
IPAM
George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA
Presenter
- George Barbastathis
October 11, 2022
IPAM
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
Structured variability and its roles in neural computation: the hippocampus perspective
Presenter
- Cristina Savin
October 30, 2023
ICERM
Variational approximation of dynamical systems using machine learning
Presenter
- Frank Noé
February 11, 2019
IPAM