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Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions
Presenter
- Segev Wasserkug
February 28, 2023
IPAM
Towards a Theory of Representation Learning for Reinforcement Learning
Presenter
- Alekh Agarwal
August 2, 2021
ICERM
Towards Digital Democracies and Societal Resilience: Upgrading Smart Cities with Collective Intelligence, and More
Presenter
- Dirk Helbing
December 2, 2020
IPAM
Integrating Automation into Curbside Management: Case Studies, Challenges, and Opportunities
Presenter
- Lillian Ratliff
October 30, 2020
IPAM
Safe and Efficient Exploration in Reinforcement Learning
Presenter
- Andreas Krause
February 26, 2020
IPAM
Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation
Presenter
- Sergei Kalinin
October 17, 2019
IPAM
Neural Models for Speech and Language: Successes, Challenges, and the Relationship to Computational Models of the Brain
Presenter
- Michael Collins
October 16, 2019
IAS
The Post-merger Dynamics of Compact Objects: Tackling Long Timescales in Gravitational Wave Sources
Presenter
- William East
January 30, 2019
IPAM
Numerical data mining with sparse grids at extreme scale
Presenter
- Dirk Pflüger
September 25, 2018
IPAM
Deep Learning for Scientific Computing: Recent Success, challenges, and next steps
Presenter
- Brian Van Essen
September 18, 2018
IPAM
Stratification Learning with Computational Topology: Overview, Challenges, and Opportunities
Presenter
- Bei Wang
May 22, 2018
IMA