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Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy
Presenter
- Maxim Ziatdinov
January 27, 2023
IPAM
Kristin Persson - Data-Driven Design for Energy Materials - IPAM at UCLA
Presenter
- Kristin Persson
January 24, 2023
IPAM
Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA
Presenter
- Michele Ceriotti
January 11, 2023
IPAM
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA
Presenter
- Osbert Bastani
January 10, 2023
IPAM
Reinhard Heckel - The role of data and models for deep-learning based image reconstruction
Presenter
- Reinhard Heckel
December 1, 2022
IPAM
Robert Wolkow - Atom-Defined Devices, Ultra-Fast Classical Devices, and Diverse Quantum Devices
Presenter
- Robert Wolkow
November 29, 2022
IPAM
Floer Homotopical Methods in Low Dimensional and Symplectic Topology Workshop: Naturality Issues in Involutive Heegaard Floer Homology
Presenter
- Kristen Hendricks
November 15, 2022
SLMath
Nigel Browning - Inpainting Approaches to Dose Control in High Resolution and In-Situ STEM
Presenter
- Nigel Browning
October 24, 2022
IPAM
Average Case Analysis of Gaussian Elimination with Partial Pivoting
Presenter
- Han Huang
October 19, 2022
ICERM
Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging
Presenter
- Ian Robinson
October 13, 2022
IPAM