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Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions
Presenter
- Segev Wasserkug
February 28, 2023
IPAM
Xavier Bresson - Graph MLP-Mixer for Molecular Analysis - IPAM at UCLA
Presenter
- Xavier Bresson
January 25, 2023
IPAM
Projections and Favard length in a nonlinear setting
Presenter
- Krystal Taylor
November 28, 2022
ICERM
Communication and Query Complexity of Bipartite Perfect Matching
Presenter
- Yuval Efron
November 14, 2022
IAS
Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability
Presenter
- Pedram Hassanzadeh
November 4, 2022
IMSI
Explainable AI (XAI) for Climate Science: Detection, Prediction and Discovery
Presenter
- Elizabeth Barnes
October 31, 2022
IMSI
High-dimensional extreme quantile regression using partially-interpretable neural networks
Presenter
- Raphael Huser
October 5, 2022
IMSI
Modelling extreme temperature and melt events on the Greenland ice sheet
Presenter
- Daniel Clarkson
October 4, 2022
IMSI
Julia Westermayr - Physically inspired machine learning for excited states
Presenter
- Julia Westermayr
May 27, 2022
IPAM
Market making algorithms: the next success of Reinforcement Learning?
Presenter
- Olivier Gueant
May 24, 2022
IMSI