Towards Understanding the Invertibility of Convolutional Neural Networks

24 May 2017

Papers citing "Towards Understanding the Invertibility of Convolutional Neural Networks"

29 / 29 papers shown

Title
Symplectic convolutional neural networks Süleyman Yıldız Konrad Janik P. Benner 97 0 0 27 Aug 2025
DiffPO: A causal diffusion model for learning distributions of potential outcomesNeural Information Processing Systems (NeurIPS), 2024 Yuchen Ma Valentyn Melnychuk Jonas Schweisthal Stefan Feuerriegel DiffM 360 15 0 11 Oct 2024
Invariance Measures for Neural NetworksApplied Soft Computing (ASC), 2022 F. Quiroga J. Torrents-Barrena Laura Lanzarini Domenec Puig-Valls 110 4 0 26 Oct 2023
Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss--Legendre nodes Chethan Krishnamurthy Ramanaik Juan Esteban Suarez Cardona Anna Willmann Pia Hanfeld Nico Hoffmann Michael Hecht 178 2 0 15 Sep 2023
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-TrainingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yongyi Su Xun Xu Tianrui Li Kui Jia OOD TTA 162 20 0 20 Mar 2023
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification Mevan Ekanayake Kamlesh Pawar Gary Egan Zhaolin Chen UQCV 138 0 0 28 Feb 2023
A Compact Neural Network-based Algorithm for Robust Image Watermarking Hongcai Xu Rong Wang Jia Wei Shao-Ping Lu 202 16 0 27 Dec 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks Xin Dong Hongxu Yin J. Álvarez Jan Kautz Pavlo Molchanov H. T. Kung MIACV 359 11 0 13 Jul 2021
GAN Inversion: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 561 587 0 14 Jan 2021
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk EstimateIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Ruangrawee Kitichotkul Christopher A. Metzler Frank Ong Gordon Wetzstein UQCV 204 8 0 25 Oct 2020
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal EffectsJournal of machine learning research (JMLR), 2020 Fredrik D. Johansson Uri Shalit Nathan Kallus David Sontag CML OOD 328 119 0 21 Jan 2020
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Delin Qu Xiaohan Wei Zhuoran Yang 272 25 0 14 Aug 2019
Generative Models for Low-Rank Video Representation and Reconstruction Rakib Hyder M. Salman Asif GAN 137 12 0 25 Feb 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment Ziqi Yang E. Chang Zhenkai Liang MLAU 154 66 0 22 Feb 2019
Uncertainty Quantification in Deep MRI ReconstructionIEEE Transactions on Medical Imaging (TMI), 2019 Vineet Edupuganti Morteza Mardani S. Vasanawala John M. Pauly UQCV 233 107 0 31 Jan 2019
Comments on "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?" Talha Cihad Gulcu Alper Gungor 199 2 0 08 Jan 2019
FDFNet : A Secure Cancelable Deep Finger Dorsal Template Generation Network Secured via. Bio-Hashing Avantika Singh Ashish Arora Shreyal Patel Gaurav Jaswal A. Nigam 109 5 0 13 Dec 2018
A Differential Topological View of Challenges in Learning with Feedforward Neural Networks Hao Shen AAML AI4CE 129 6 0 26 Nov 2018
Modeling Sparse Deviations for Compressed Sensing using Generative ModelsInternational Conference on Machine Learning (ICML), 2018 Manik Dhar Aditya Grover Stefano Ermon 222 85 0 04 Jul 2018
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks Jens Behrmann Sören Dittmer Pascal Fernsel Peter Maass 159 12 0 25 Jun 2018
The Sparse Manifold Transform Yubei Chen Dylan M. Paiton Bruno A. Olshausen MedIm 142 62 0 23 Jun 2018
Image classification and retrieval with random depthwise signed convolutional neural networks Yunzhe Xue Usman Roshan OOD 197 2 0 15 Jun 2018
A Study on Overfitting in Deep Reinforcement Learning Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio OffRL OnRL 191 419 0 18 Apr 2018
Instance Optimal Decoding and the Restricted Isometry Property Nicolas Keriven Rémi Gribonval 168 10 0 27 Feb 2018
A Distributed Framework for the Construction of Transport Maps Diego A. Mesa Justin Tantiongloc Marcela Mendoza Todd P. Coleman 149 0 0 25 Jan 2018
Reversible Architectures for Arbitrarily Deep Residual Neural Networks B. Chang Lili Meng E. Haber Lars Ruthotto David Begert E. Holtham AI4CE 247 283 0 12 Sep 2017
Sparse Coding and AutoencodersInternational Symposium on Information Theory (ISIT), 2017 Akshay Rangamani Anirbit Mukherjee A. Basu T. Ganapathi Ashish Arora S. Chin T. Tran 206 21 0 12 Aug 2017
Compressive Statistical Learning with Random Feature Moments Rémi Gribonval Gilles Blanchard Nicolas Keriven Y. Traonmilin 247 54 0 22 Jun 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 312 867 0 09 Mar 2017