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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
Giuseppe Carleo - Fermionic neural-network quantum states
Presenter
- Giuseppe Carleo
May 24, 2022
IPAM
Genevieve Dusson - Error bounds for properties in planewave electronic structure calculations
Presenter
- Genevieve Dusson
May 6, 2022
IPAM
Emmanuel Giner - Curing basis set convergence of WFT w/ DFT: overview of framework and some results
Presenter
- Emmanuel Giner
May 3, 2022
IPAM
Antoine Levitt - Numerical methods for scattering and resonance properties in molecules and solids
Presenter
- Antoine Levitt
May 3, 2022
IPAM