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Gabor Csányi - Machine learning potentials: from polynomials to message passing networks
Presenter
- Gabor Csányi
April 17, 2023
IPAM
A Multi-Capital Model of Climate Change, Innovation, and Uncertainty
Presenter
- Michael Barnett
April 1, 2023
IMSI
Aiichiro Nakano - Quantum Material Dynamics at Nexus of Exascale Computing, AI, & Quantum Computing
Presenter
- Aiichiro Nakano
March 27, 2023
IPAM
Yuandong Tian - AI-guided nonlinear optimization for real-world problems - IPAM at UCLA
February 28, 2023
IPAM
Yuandong Tian - AI-guided nonlinear optimization for real-world problems - IPAM at UCLA
Presenter
- Yuandong Tian
February 28, 2023
IPAM
Andrea Lodi - Continuous cutting plane algorithms in integer programming - IPAM at UCLA
Presenter
- Andrea Lodi
February 27, 2023
IPAM
Vinod Nair - Restricted Boltzmann Machines for Maximum Satisfiability - IPAM at UCLA
Presenter
- Vinod Nair
February 27, 2023
IPAM
Deep Learning Solutions to Master Equations for Continuous Time Heterogeneous Agent Macroeconomic Models
Presenter
- Mathieu Lauriere
February 23, 2023
IMSI
Rose Yu - Incorporating Symmetry for Learning Spatiotemporal Dynamics - IPAM at UCLA
Presenter
- Rose Yu
January 26, 2023
IPAM
Rafael Gomez Bombarelli - End-to-end learning and auto-differentiation: forces, uncertainties, etc.
Presenter
- Rafael Gomez-Bombarelli
January 24, 2023
IPAM
Mark Iwen - Accurate Recovery of Compactly Supported Smooth Functions from Spectrogram Measurements
Presenter
- Mark Iwen
December 1, 2022
IPAM
Reinhard Heckel - The role of data and models for deep-learning based image reconstruction
Presenter
- Reinhard Heckel
December 1, 2022
IPAM