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An Information Theoretic Approach to Validate Deep Learning-Based Algorithms
Presenter
- Gitta Kutyniok
October 30, 2019
IPAM
Individualized Fusion Learning (iFusion) with Applications to Personalized Inference
Presenter
- Minge Xie
September 15, 2017
IMA
Mauro Maggioni - Learning Interaction Kernels in Interacting Particle Systems - IPAM at UCLA
Presenter
- Mauro Maggioni
September 8, 2025
IPAM
Reducing the Quantum Many-Electron Problem to Two Electrons with Machine Learning
Presenter
- David Mazziotti
March 25, 2024
IMSI
Randomization, Neutrality, and Fairness: Characterizing General Top Trading Cycles Mechanisms
Presenter
- Bettina Klaus
October 23, 2023
SLMath
Jarrod McClean - The role of data, precomputation, and communication in a quantum learning landscape
Presenter
- Jarrod McClean
October 20, 2023
IPAM
Jens Eisert - Do quantum computers have application in machine learning & combinatorial optimization
Presenter
- Jens Eisert
October 17, 2023
IPAM
On the Connection between Deep Neural Networks and Kernel Methods
Presenter
- Ronen Basri
June 28, 2023
ICERM
Learning Personalized Treatment Strategies with Predictive and Prognostic Covariates in Adaptive Clinical Trials
Presenter
- Spyros Zoumpoulis
May 15, 2023
IMSI
Alex Aiken - Task-Based Programming with Legion - IPAM at UCLA
Presenter
- Alex Aiken
May 2, 2023
IPAM
Anatole von Lilienfeld - Go EAST, young scientist - First principles view on chemical compound space
Presenter
- Anatole von Lilienfeld
January 27, 2023
IPAM
Paul Voyles - Data-Information-Knowledge: Material Microscopy Problems w/ Computational Solutions?
Presenter
- Paul Voyles
September 14, 2022
IPAM