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An Information Theoretic Approach to Validate Deep Learning-Based Algorithms
Presenter
- Gitta Kutyniok
April 10, 2021
ICERM
How to describe, analyze and interrogate dynamics of gene regulatory networks
Presenter
- Tomas Gedeon
October 23, 2020
IAS
Geometric Understanding of Supervised and Unsupervised Deep Learning for Biomedical Image Reconstruction
Presenter
- Jong Chul Ye
January 28, 2020
IPAM
Deep Learning and Modeling: Taking the Best out of Both Worlds
Presenter
- Gitta Kutyniok
January 28, 2020
IPAM
Plenary Session: National perspectives on mathematical teacher education and preparation
Presenter
- Joan Ferrini-Mundy
March 28, 2014
SLMath
Future Climate Projections from Multi-Model Ensembles: Motivations, Challenges, Approaches and Ways Forward
Presenter
- Claudia Tebaldi
April 19, 2007
SLMath
Simone Rademacher - Large deviations for Bose-Einstein condensates - IPAM at UCLA
Presenter
- Simone Rademacher
April 3, 2025
IPAM
Emily Beatty - Order p quantum Wasserstein distances from couplings - IPAM at UCLA
Presenter
- Emily Beatty
April 2, 2025
IPAM
Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA
Presenter
- Juan Carrasquilla
October 16, 2023
IPAM
Fabian Faulstich - pure state v-representability of density matrix embedding - augmented lagrangian
Presenter
- Fabian Faulstich
March 31, 2022
IPAM