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Machine learning with neural networks: the importance of data structure
Presenter
- Marc Mezard
November 21, 2019
IPAM
David Hatch - Bridging the pedestal gap: intermediate-fidelity models for pedestal transport
Presenter
- David Hatch
March 25, 2026
IPAM
Laura Gagliardi - Localized-Wave-Function in Quantum Chemistry and Extension to Quantum Computers
Presenter
- Laura Gagliardi
March 30, 2022
IPAM
Existence results for some micro-macro models of polymeric flows
Presenter
- Nader Masmoudi
February 24, 2010
IMA
Victor Artigues - Plasma Turbulence in TensorFlow: Reduced Models and Optimization - IPAM at UCLA
Presenter
- Victor Artigues
March 23, 2026
IPAM
Bryan Reuter - Enhancing Particle-Based Kinetic Methods Through Multifidelity Discretizations
Presenter
- Bryan Reuter
March 23, 2026
IPAM
Reinhold Schneider - Multi-Reference Coupled Cluster for Computation of Excited States & Tensors
Presenter
- Reinhold Schneider
March 29, 2023
IPAM
Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains
Presenter
- Phebe Vayanos
March 1, 2023
IPAM
From micro to macro structure: a journey in company of the Unit Commitment problem
Presenter
- Antonio Frangioni
February 28, 2023
ICERM
Fabian Faulstich - pure state v-representability of density matrix embedding - augmented lagrangian
Presenter
- Fabian Faulstich
March 31, 2022
IPAM
Michael Weinstein - Discrete honeycombs, rational edges and edge states - IPAM at UCLA
Presenter
- Michael Weinstein
March 30, 2022
IPAM
Reinhold Schneider - Tensor Networks (QC-DMRG) in a Complete Active Space Coupled Cluster Method
Presenter
- Reinhold Schneider
March 29, 2022
IPAM