Benchmarking deep inverse models over time, and the neural-adjoint method

27 September 2020

Papers citing "Benchmarking deep inverse models over time, and the neural-adjoint method"

8 / 8 papers shown

Title
Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems Girnar Goyal Philipp Holl Sweta Agrawal Nils Thuerey AI4CE 48 0 0 27 Jan 2025
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 51 0 0 10 May 2024
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images N. Konz Maciej Mazurowski MedIm 35 5 0 08 Mar 2023
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 32 27 0 09 Oct 2022
Autoinverse: Uncertainty Aware Inversion of Neural Networks Navid Ansari Hans-Peter Seidel Nima Vahidi Ferdowsi Vahid Babaei BDL 19 12 0 29 Aug 2022
Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers Xiaofeng Liu Yalan Song Chaopeng Shen AI4CE 25 9 0 05 Mar 2022
Mixed Integer Neural Inverse Design Navid Ansari Hans-Peter Seidel Vahid Babaei 21 5 0 27 Sep 2021
Learning to Sketch with Shortcut Cycle Consistency Jifei Song Kaiyue Pang Yi-Zhe Song Tao Xiang Timothy M. Hospedales 65 118 0 01 May 2018