Invertible Residual Networks

2 November 2018

Papers citing "Invertible Residual Networks"

50 / 145 papers shown

Title
Accelerate TarFlow Sampling with GS-Jacobi Iteration Ben Liu Zhen Qin 12 0 0 19 May 2025
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung Bas Peters Michael Solomon 34 0 0 10 May 2025
Scalable Meta-Learning via Mixed-Mode Differentiation Iurii Kemaev Dan A Calian Luisa M Zintgraf Gregory Farquhar H. V. Hasselt 57 0 0 01 May 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Kai Zhou Yuan Ma Yiu-ming Cheung Bradley Malin MedIm 42 0 0 03 Jan 2025
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows Sandeep Nagar Girish Varma TPM 29 0 0 18 Oct 2024
JacNet: Learning Functions with Structured Jacobians Jonathan Lorraine Safwan Hossain 48 6 0 23 Aug 2024
Unveiling the Potential of AI for Nanomaterial Morphology Prediction Ivan Dubrovsky Andrei Dmitrenko Aleksei Dmitrenko N. Serov Vladimir Vinogradov AI4CE 29 2 0 31 May 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 40 0 0 27 May 2024
Transport of Algebraic Structure to Latent Embeddings Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi 37 0 0 27 May 2024
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 43 8 0 02 May 2024
Learning Stable and Passive Neural Differential Equations Jing Cheng Ruigang Wang I. Manchester 34 3 0 19 Apr 2024
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem Dorjan Hitaj Giulio Pagnotta Fabio De Gaspari Sediola Ruko Briland Hitaj Luigi V. Mancini Fernando Perez-Cruz 42 4 0 06 Mar 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation Shahar Yadin Noam Elata T. Michaeli DiffM 43 1 0 15 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 35 0 0 09 Feb 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 36 5 0 02 Feb 2024
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 29 6 0 27 Dec 2023
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 34 3 0 25 Dec 2023
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 40 9 0 22 Dec 2023
Relightable and Animatable Neural Avatars from Videos Wenbin Lin Chengwei Zheng Jun-hai Yong Feng Xu 34 11 0 20 Dec 2023
Computing excited states of molecules using normalizing flows Yahya Saleh Álvaro Fernández Corral Emil Vogt Armin Iske J. Küpper A. Yachmenev 38 7 0 31 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 26 6 0 04 Aug 2023
PaReprop: Fast Parallelized Reversible Backpropagation Tyler Lixuan Zhu K. Mangalam 17 1 0 15 Jun 2023
Taming Reversible Halftoning via Predictive Luminance Cheuk-Kit Lau Menghan Xia T. Wong 33 1 0 14 Jun 2023
Lifting Architectural Constraints of Injective Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 31 8 0 02 Jun 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 33 2 0 24 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 40 4 0 19 May 2023
EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging Lishun Wang Miao Cao Xin Yuan 26 16 0 17 May 2023
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer Toshihiro Ota Masato Taki 35 2 0 25 Apr 2023
Neural Lens Modeling Wenqi Xian Aljavz Bovzivc Noah Snavely Christoph Lassner 3DV 32 7 0 10 Apr 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
Training Invertible Neural Networks as Autoencoders The-Gia Leo Nguyen Lynton Ardizzone Ullrich Kothe BDL DRL SSL 30 9 0 20 Mar 2023
A Lifted Bregman Formulation for the Inversion of Deep Neural Networks Xiaoyu Wang Martin Benning 36 2 0 01 Mar 2023
OliVaR: Improving Olive Variety Recognition using Deep Neural Networks H. Miho Giulio Pagnotta Dorjan Hitaj Fabio De Gaspari L. Mancini G. Koubouris G. Godino Mehmet Hakan C. M. Díez 32 3 0 01 Mar 2023
Invertible Neural Skinning Yash Kant Aliaksandr Siarohin R. A. Guler Menglei Chai Jian Ren Sergey Tulyakov Igor Gilitschenski 3DH 30 2 0 18 Feb 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming Tianqi Cui Tom S. Bertalan George J. Pappas M. Morari Ioannis G. Kevrekidis Mahyar Fazlyab AAML 27 2 0 27 Jan 2023
$FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows$ FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows Aditya Kallappa Sandeep Nagar Girish Varma 27 2 0 23 Jan 2023
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset) Haoran Wang Yan Zhu W. Qin Yizhe Zhang Pinghong Zhou Quanlin Li Shuo Wang Zhijian Song 29 2 0 23 Dec 2022
Denoising Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 36 5 0 30 Nov 2022
Proximal Residual Flows for Bayesian Inverse Problems J. Hertrich BDL TPM 39 4 0 30 Nov 2022
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion Zixiang Zhao Hao Bai Jiangshe Zhang Yulun Zhang Shuang Xu Zudi Lin Radu Timofte Luc Van Gool 40 311 0 26 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 30 10 0 21 Nov 2022
Transport Reversible Jump Proposals L. Davies Roberto Salomone Matthew Sutton Christopher C. Drovandi BDL 27 1 0 22 Oct 2022
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models Yueqin Yin Lianghua Huang Yu Liu Kaiqiang Huang DiffM 41 12 0 16 Oct 2022
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 32 27 0 09 Oct 2022
Multi-objective Deep Data Generation with Correlated Property Control Shiyu Wang Xiaojie Guo Xuanyang Lin Bo Pan Yuanqi Du ... S. Alkhalifa K. Minbiole Bill Wuest Amarda Shehu Liang Zhao AI4CE 54 14 0 01 Oct 2022
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems Nicholas Rober Sydney M. Katz Chelsea Sidrane Esen Yel Michael Everett Mykel J. Kochenderfer Jonathan P. How 35 26 0 28 Sep 2022
Use Classifier as Generator Haoyang Li VLM 15 0 0 10 Sep 2022
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network Min Zhang Zhihong Pan Xiaoxia Zhou C.-C. Jay Kuo 33 6 0 24 Jul 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 24 18 0 20 Jul 2022
Continuous Methods : Hamiltonian Domain Translation Emmanuel Menier M. Bucci Mouadh Yagoubi L. Mathelin Marc Schoenauer 24 1 0 08 Jul 2022