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Adam Topaz - The Liquid Tensor Experiment - IPAM at UCLA
Presenter
- Adam Topaz
February 13, 2023
IPAM
Benedikt Ahrens - Univalent Foundations and the UniMath library - IPAM at UCLA
Presenter
- Benedikt Ahrens
February 13, 2023
IPAM
John Harrison - Formalization and Automated Reasoning: A Personal and Historical Perspective
Presenter
- John Harrison
February 13, 2023
IPAM
Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA
Presenter
- Geordie Williamson
February 13, 2023
IPAM
Systematically Generating Hierarchies of Machine-Learning Models, from Equation Discovery to Deep Neural Networks
Presenter
- Tom Beucler
November 4, 2022
IMSI
Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability
Presenter
- Pedram Hassanzadeh
November 4, 2022
IMSI
Neural-network parameterization of subgrid momentum transport learned from a high-resolution simulation
Presenter
- Janni Yuval
November 3, 2022
IMSI
High-resolution climate modeling using coarse-scale models and reanalysis data
Presenter
- Themistoklis Sapsis
November 3, 2022
IMSI
Probabilistic forecast of extreme heat waves using convolutional neural networks and rare event simulations
Presenter
- Freddy Bouchet
November 2, 2022
IMSI
Extracting climate cycles from spatiotemporal data and detecting emergence and disappearance of coherent phenomena across multiple dynamic regimes
Presenter
- Gary Froyland
November 2, 2022
IMSI
