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Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA
Presenter
- Geordie Williamson
February 13, 2023
IPAM
Bolei Zhou - From Network Dissection to Policy Dissection: Emergent Concepts in Deep Representations
Presenter
- Bolei Zhou
January 9, 2023
IPAM
Jaesik Choi - Explainable AI to Analyze Internal Decision Mechanism of Deep Neural Networks
Presenter
- Jaesik Choi
January 9, 2023
IPAM
Reconstructing surface ocean dynamics from sparse satellite observations with deep learning
Presenter
- Scott Martin
November 30, 2022
IMSI
Tristan Bepler - Detection of objects in cryo-electron micrographs using geometric deep learning
Presenter
- Tristan Bepler
November 16, 2022
IPAM
Steven Ludtke - Contextual Conformational Variability in CryoEM and CryoET using Deep Learning
Presenter
- Steven Ludtke
November 14, 2022
IPAM
Full description of Benjamin-Feir instability of Stokes waves in deep water
Presenter
- Alberto Maspero
October 18, 2021
ICERM
Model-Based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior
Presenter
- Jingshu Wang
August 31, 2021
IMSI
On The Convergence Rate Of Entropy-regularized Natural Policy Gradient With Linear Function
Presenter
- R. Srikant
August 3, 2021
ICERM
Algorithms for metric elicitation via the geometry of classifier statistics.
Presenter
- Sanmi Koyejo
August 3, 2021
ICERM