Optimization for Amortized Inverse Problems

Optimization for Amortized Inverse Problems

25 October 2022

Tianci Liu

Papers citing "Optimization for Amortized Inverse Problems"

10 / 10 papers shown

Title
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? Charles Dawson Van Tran Max Z. Li Chuchu Fan 30 0 0 28 Feb 2025
LoFi: Neural Local Fields for Scalable Image Reconstruction AmirEhsan Khorashadizadeh T. Liaudat Tianlin Liu Jason D. McEwen Ivan Dokmanić SupR 31 0 0 07 Nov 2024
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 10 6 0 08 Jan 2023
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 56 33 0 18 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 180 536 0 08 Mar 2020
Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection Heng Yang Pasquale Antonante Vasileios Tzoumas Luca Carlone 126 223 0 18 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 264 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 114 1,190 0 16 Aug 2016