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Ravi Kumar - Learning-Augmented Online Optimization - IPAM at UCLA
Presenter
- Ravi Kumar
February 26, 2024
IPAM
Adel Javanmard - Learning from Aggregate Responses - IPAM at UCLA
Presenter
- Adel Javanmard
February 26, 2024
IPAM
Neuro-Causal Factor Analysis: Structure learning and identifiability
Presenter
- Alex Markham
October 10, 2023
IMSI
Introductory Workshop: Algorithms, Fairness, and Equity: "Geometry of Deep Learning and Explainable ML"
Presenter
- Anders Karlsson
August 30, 2023
SLMath
Cecelia Clementi - Designing molecular models with machine learning and experimental data
Presenter
- Cecelia Clementi
January 11, 2023
IPAM
Palina Salanevich - STFT Phase retrieval: robustness and generative priors - IPAM at UCLA
Presenter
- Palina Salanevich
December 2, 2022
IPAM
Elizaveta Rebrova - Low-rank tensor recovery from memory-efficient measurements - IPAM at UCLA
Presenter
- Elizaveta Rebrova
December 1, 2022
IPAM
Mark Iwen - Accurate Recovery of Compactly Supported Smooth Functions from Spectrogram Measurements
Presenter
- Mark Iwen
December 1, 2022
IPAM
Reinhard Heckel - The role of data and models for deep-learning based image reconstruction
Presenter
- Reinhard Heckel
December 1, 2022
IPAM
Sarah Haigh - Probing atomic behaviour in liquids with STEM : opportunities for machine learning
Presenter
- Sarah Haigh
November 30, 2022
IPAM
Ben Recht - Splitting the difference between deep and shallow solutions of inverse problems
Presenter
- Ben Recht
November 30, 2022
IPAM
Mahdi Soltanolkotabi - Medical image reconstruction via deep learning: architectures, data reduction
Presenter
- Mahdi Soltanolkotabi
November 30, 2022
IPAM