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Hélène Zapolsky - Atomistic modelling of phase transformation at large time and length scales
Presenter
- Hélène Zapolsky
April 20, 2023
IPAM
Thomas Swinburne - Learning uncertainty-aware models of defect kinetics at scale - IPAM at UCLA
Presenter
- Thomas Swinburne
April 19, 2023
IPAM
Lev Truskinovsky - Mesoscopic tensorial model of crystal plasticity - IPAM at UCLA
Presenter
- Lev Truskinovsky
April 18, 2023
IPAM
Louis Martin Rousseau - Combining Machine Learning & Optimization for efficient healthcare delivery
Presenter
- Louis-Martin Rousseau
March 1, 2023
IPAM
Pascal Fontaine - SMT: quantifiers, and future prospects - IPAM at UCLA
Presenter
- Pascal Fontaine
February 16, 2023
IPAM
Haniel Barbosa - Better SMT proofs for certifying compliance and correctness - IPAM at UCLA
Presenter
- Haniel Barbosa
February 14, 2023
IPAM
Bruno Correia - Exploring new molecular representations for the design of biological function
Presenter
- Bruno Correia
January 26, 2023
IPAM
Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA
Presenter
- Michele Ceriotti
January 11, 2023
IPAM
Carlos Oscar Sorzano - Machine learning for Single Particle Analysis by Cryo-Electron Microscopy
Presenter
- Carlos Sorzano
November 14, 2022
IPAM
Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA
Presenter
- Demetri Psaltis
October 13, 2022
IPAM
Michael Unser - High-Speed Fourier Ptychography with Deep Spatio-Temporal Priors - IPAM at UCLA
Presenter
- Michael Unser
October 11, 2022
IPAM
Sandro Vaienti - Thermodynamic formalism for open random dynamical systems
Presenter
- Sandro Vaienti
September 1, 2022
IPAM