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iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling
v1v2v3 (latest)

iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling

11 May 2020
Christian Etmann
Rihuan Ke
Carola-Bibiane Schönlieb
    SSeg
ArXiv (abs)PDFHTML

Papers citing "iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling"

11 / 11 papers shown
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
Danyal Rehman
Oscar Davis
Jiarui Lu
Jian Tang
M. Bronstein
Yoshua Bengio
Alexander Tong
A. Bose
OOD
323
0
0
01 Jun 2025
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models
Karan Jain
Mohammad Nayeem Teli
MedIm
215
0
0
15 Apr 2025
A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations
A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space TranslationsInternational Conference on Learning Representations (ICLR), 2024
Naveen Gupta
Medha Sawhney
Arka Daw
Youzuo Lin
Anuj Karpatne
MedImAI4CE
371
5
0
15 Oct 2024
FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound
FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound
Chaoyu Chen
Xin Yang
Yuhao Huang
Wenlong Shi
Yan Cao
...
Kejuan Yue
Yuanji Zhang
Yi Xiong
Dong Ni
Weijun Huang
3DH
162
0
0
30 Oct 2023
Reversible Vision Transformers
Reversible Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2022
K. Mangalam
Haoqi Fan
Yanghao Li
Chaoxiong Wu
Bo Xiong
Christoph Feichtenhofer
Jitendra Malik
ViT
275
63
0
09 Feb 2023
K-UNN: k-Space Interpolation With Untrained Neural Network
K-UNN: k-Space Interpolation With Untrained Neural Network
Zhuoxu Cui
Seng Jia
Qingyong Zhu
Congcong Liu
Zhilang Qiu
Yuanyuan Liu
Jing Cheng
Haifeng Wang
Yanjie Zhu
Dong Liang
172
1
0
11 Aug 2022
Beyond NaN: Resiliency of Optimization Layers in The Face of
  Infeasibility
Beyond NaN: Resiliency of Optimization Layers in The Face of InfeasibilityAAAI Conference on Artificial Intelligence (AAAI), 2022
Wai Tuck Wong
Andrew Butler
Ramesha Karunasena
T. Nguyen
Arunesh Sinha
AAML
341
1
0
13 Feb 2022
Deep Learning in Photoacoustic Tomography: Current approaches and future
  directions
Deep Learning in Photoacoustic Tomography: Current approaches and future directionsJournal of Biomedical Optics (JBO), 2020
A. Hauptmann
B. Cox
267
150
0
16 Sep 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural
  Networks
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
Jens Behrmann
Paul Vicol
Kuan-Chieh Wang
Roger C. Grosse
J. Jacobsen
287
102
0
16 Jun 2020
Structure preserving deep learning
Structure preserving deep learning
E. Celledoni
Matthias Joachim Ehrhardt
Christian Etmann
R. McLachlan
B. Owren
Carola-Bibiane Schönlieb
Ferdia Sherry
AI4CE
249
49
0
05 Jun 2020
Fully Hyperbolic Convolutional Neural Networks
Fully Hyperbolic Convolutional Neural NetworksResearch in the Mathematical Sciences (RMS), 2019
Keegan Lensink
Bas Peters
E. Haber
MedIm
280
25
0
24 May 2019
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