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Bolei Zhou - From Network Dissection to Policy Dissection: Emergent Concepts in Deep Representations
Presenter
- Bolei Zhou
January 9, 2023
IPAM
Xiao Fu - Multiview and Self-Supervised Representation Learning: Nonlinear Mixture Identification
Presenter
- Xiao Fu
January 9, 2023
IPAM
Jaesik Choi - Explainable AI to Analyze Internal Decision Mechanism of Deep Neural Networks
Presenter
- Jaesik Choi
January 9, 2023
IPAM
Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA
Presenter
- Bin Yu
January 9, 2023
IPAM
Palina Salanevich - STFT Phase retrieval: robustness and generative priors - IPAM at UCLA
Presenter
- Palina Salanevich
December 2, 2022
IPAM
Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA
Presenter
- Kevin Kelly
December 2, 2022
IPAM
Jamie Haddock - Hierarchical and neural nonnegative tensor factorizations - IPAM at UCLA
Presenter
- Jamie Haddock
December 2, 2022
IPAM
Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis
Presenter
- Mary Scott
December 1, 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