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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
Paul Hand - Signal Recovery with Generative Priors - IPAM at UCLA
Presenter
- Paul Hand
November 29, 2022
IPAM
Geoffrey Woollard - Stochastic inference and Computational Optimal Transport in 3D heterogeneity
Presenter
- Geoffrey Woollard
November 14, 2022
IPAM
Ellen Zhoung - Machine learning for determining protein structure and dynamics from cryo-EM images
Presenter
- Ellen Zhong
November 14, 2022
IPAM
Building Digital Twins of the Earth for NVIDIA’s Earth-2 Initiative
Presenter
- Karthik Kashinath
November 2, 2022
IMSI
Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations
Presenter
- Nan Chen
October 31, 2022
IMSI
Eric Stach - Exploiting automatic image processing and in-situ transmission electron microscopy
Presenter
- Eric Stach
October 26, 2022
IPAM