Co-occurring keywords · papers mentioning both
signal recovery
(2)
compressed sensing
(2)
neural network generative model
(1)
bayes-optimal estimator
(1)
fisher information coefficient
(1)
completeness condition
(1)
discrete latent variable causal structures
(1)
two-sufficient measurement condition
(1)
bayes-optimal performance
(1)
tensor rank
(1)
Papers
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
ICML 2025
Fundamental Limits of Non-Linear Low-Rank Matrix Estimation
COLT 2024
Non-Iterative Recovery From Nonlinear Observations Using Generative Models
CVPR 2022
Learning the Linear Quadratic Regulator from Nonlinear Observations
NeurIPS 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors
NeurIPS 2020
A New Perspective and Extension of the Gaussian Filter
RSS 2015