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Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
Presenter
- Ryan Sweke
October 17, 2023
IPAM
Orienteering on Supersingular Isogeny Volcanoes Using One Endomorphism
Presenter
- Renate Scheidler
July 14, 2023
ICERM
Exact Gradient Computation for Spiking Neural Networks via Forward Propagation
Presenter
- Amin Karbasi
June 8, 2023
ICERM
Function-space regularized divergences for machine learning applications
Presenter
- Ioannis (Yannis) Pantazis
May 11, 2023
ICERM
Transshipments over time, submodular functions, and discrete Newton
Presenter
- Martin Skutella
March 30, 2023
ICERM
On Dantzig-Wolfe Relaxation of Rank Constrained Optimization: Exactness, Rank Bounds, and Algorithms
Presenter
- Weijun Xie
March 3, 2023
ICERM
Timo Berthold - Machine Learning inside MIP solvers - IPAM at UCLA
Presenter
- Timo Berthold
March 1, 2023
IPAM
Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Presenter
- Priya Donti
February 28, 2023
IPAM
Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA
Presenter
- Xavier Bresson
February 27, 2023
IPAM
Matthew Foulkes - Approximating Many-Electron Wave Functions using Neural Networks
Presenter
- Matthew Foulkes
May 26, 2022
IPAM