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Nonstandard minimax rates in nonparametric latent variable models and representation learning
Presenter
- Bryon Aragam
December 11, 2023
IMSI
Identifiability of Statistical Models with Latent Symmetries
Presenter
- Leonard Schulman
November 7, 2023
IMSI
Amira Abbas - On quantum backpropagation and information reuse - IPAM at UCLA
Presenter
- Amira Abbas
October 20, 2023
IPAM
Multiscale Diffusion Geometry for Learning Manifolds, Flows and Optimal Transport
Presenter
- Smita Krishnaswamy
June 27, 2023
ICERM
Lipschitz regularized gradient flows and latent generative particles
Presenter
- Panagiota Birmpa
May 12, 2023
ICERM
Stefanie Jegelka - Two aspects of learning algorithms: generalization under shifts & loss functions
Presenter
- Stefanie Jegelka
March 2, 2023
IPAM
Petar Veličković - Reasoning Algorithmically: from Toy Experiments to AGI Modules - IPAM at UCLA
Presenter
- Petar Veličković
March 2, 2023
IPAM
Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA
Presenter
- Geordie Williamson
February 13, 2023
IPAM
Xavier Bresson - Graph MLP-Mixer for Molecular Analysis - IPAM at UCLA
Presenter
- Xavier Bresson
January 25, 2023
IPAM
Bolei Zhou - From Network Dissection to Policy Dissection: Emergent Concepts in Deep Representations
Presenter
- Bolei Zhou
January 9, 2023
IPAM
Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA
Presenter
- Kevin Kelly
December 2, 2022
IPAM
Yonina Eldar - Model Based Deep Learning with Application to Super Resolution - IPAM at UCLA
Presenter
- Yonina Eldar
October 27, 2022
IPAM