Recurrent Inference Machines for Solving Inverse Problems

13 June 2017

Papers citing "Recurrent Inference Machines for Solving Inverse Problems"

9 / 9 papers shown

Title
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Dubing Chen Huan Zheng Jin Fang Xingping Dong Xianfei Li Wenlong Liao Tao He Pai Peng Jianbing Shen 238 0 0 17 Apr 2025
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 132 2,009 0 14 Jun 2016
Towards Conceptual Compression Karol Gregor F. Besse Danilo Jimenez Rezende Ivo Danihelka Daan Wierstra DRL OCL SSL BDL 80 248 0 29 Apr 2016
On learning optimized reaction diffusion processes for effective image restoration Yunjin Chen Wei Yu Thomas Pock DiffM 78 323 0 19 Mar 2015
Conditional Random Fields as Recurrent Neural Networks Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip Torr SSeg 252 2,536 0 11 Feb 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 610 12,745 0 11 Dec 2014
Cascades of Regression Tree Fields for Image Restoration Uwe Schmidt Jeremy Jancsary Sebastian Nowozin Stefan Roth Carsten Rother 92 88 0 08 Apr 2014
Revisiting loss-specific training of filter-based MRFs for image restoration Yunjin Chen Thomas Pock René Ranftl Horst Bischof 77 64 0 16 Jan 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 486 16,922 0 20 Dec 2013