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Approximating Likelihoods for Spatial Extremes with Deep Learning
Presenter
- Reetam Majumder
October 4, 2022
IMSI
Lucas Wagner - Compact representations of excited states from QMC, as data for low-energy models
Presenter
- Lucas Wagner
May 26, 2022
IPAM
Can you hear the will of the people in the vote? The mathematics and policy of quantifying gerrymandering
Presenter
- Jonathan Mattingly
December 15, 2021
IAS
Towards a Theory of Representation Learning for Reinforcement Learning
Presenter
- Alekh Agarwal
August 2, 2021
ICERM
On Chen’s recent breakthrough on the Kannan-Lovasz-Simonovits conjecture and Bourgain's slicing problem - Part II
Presenter
- Ronen Eldan
April 26, 2021
IAS
Differential privacy, deep learning, and synthetic data generation
Presenter
- Rachel Cummings
April 11, 2021
ICERM
An Information Theoretic Approach to Validate Deep Learning-Based Algorithms
Presenter
- Gitta Kutyniok
October 30, 2019
IPAM
Introductory Workshop: Hamiltonian Systems, From Topology To Applications Through Analysis - The periodic orbits problem in Tonelli Hamiltonian dynamics
Presenter
- Marco Mazzucchelli
August 24, 2018
SLMath