NeurIPS 2023 Workshop Deep Inverse Submissions

Score-Based Likelihood Characterization for Inverse Problems in the Presence of Non-Gaussian Noise
Ronan Legin, Alexandre Adam, Yashar Hezaveh, Laurence Perreault-Levasseur
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
OptoGPT: A Versatile Inverse Design Model for Optical Multilayer Thin Film Structures
Taigao Ma, L. Jay Guo, Haozhu Wang
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
Modeling GAN Latent Dynamics using Neural ODEs
Weihao Xia, Yujiu Yang, Jing-Hao Xue
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
How Good Are Deep Generative Models for Solving Inverse Problems?
Shichong Peng, Alireza Moazeni, Ke Li
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior
Berthy Feng, Katherine Bouman
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior
Jason Hu, Zongyu Li, Xiaojian Xu, Liyue Shen, Jeffrey A Fessler
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
SUD$^2$: Supervision by Denoising Diffusion Models for Image Reconstruction
Matthew Chan, Sean I. Young, Christopher Metzler
- Published: 03 Nov 2023, Last Modified: 09 Jan 2025
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
Multilook compressive sensing in the presence of speckle noise
Xi Chen, Zhewen Hou, Christopher Metzler, Arian Maleki, Shirin Jalali
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
Self-supervised Low-rank plus Sparse Network for Radial MRI Reconstruction
Andrei Mancu, Wenqi Huang, Gastao Lima da Cruz, Daniel Rueckert, Kerstin Hammernik
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
Switching policies for solving inverse problems
Tim Bakker, Fabio Valerio Massoli, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
Multimodal Neural Surface Reconstruction: Recovering the Geometry and Appearance of 3D Scenes from Events and Grayscale Images
Sazan Mahbub, Brandon Feng, Christopher Metzler
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
Boosting Weakly Convex Ridge Regularizers with Spatial Adaptivity
Sebastian Neumayer, Mehrsa Pourya, Alexis Goujon, Michael Unser
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
Quantifying Generative Model Uncertainty in Posterior Sampling Methods for Computational Imaging
Canberk Ekmekci, Mujdat Cetin
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone
Volume-Oriented Uncertainty for Inverse Problems
Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad
- Published: 03 Nov 2023, Last Modified: 03 Nov 2023
- NeurIPS 2023 Deep Inverse Workshop Poster
- Readers: Everyone