Invertible Residual Networks

2 November 2018

Papers citing "Invertible Residual Networks"

50 / 144 papers shown

Title
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 39 39 0 06 Jul 2022
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera Hongrui Cai Wanquan Feng Xuetao Feng Yan Wang Juyong Zhang 3DH 24 62 0 30 Jun 2022
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network Vitaliy Chiley Vithursan Thangarasa Abhay Gupta Anshul Samar Joel Hestness D. DeCoste 52 8 0 28 Jun 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement Siyuan Dong Eric Z. Chen Lin Zhao Xiao Chen Yikang Liu Terrence Chen Shanhui Sun 37 5 0 06 Jun 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 24 26 0 03 Jun 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 14 5 0 02 Jun 2022
Invertible Neural Networks for Graph Prediction Chen Xu Xiuyuan Cheng Yao Xie GNN 28 9 0 02 Jun 2022
Flowification: Everything is a Normalizing Flow Bálint Máté Samuel Klein T. Golling Franccois Fleuret 23 3 0 30 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 26 48 0 01 May 2022
SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks Jacobie Mouton Steve Kroon DRL BDL 20 0 0 23 Apr 2022
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism Jiahui Lei Kostas Daniilidis 36 53 0 30 Mar 2022
Deep Koopman Operator with Control for Nonlinear Systems Hao-bin Shi Max Q.-H. Meng 17 75 0 16 Feb 2022
Global Optimization Networks Sen Zhao Erez Louidor Ilan Oleksandr Mangylov Maya R. Gupta 29 5 0 02 Feb 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 32 10 0 21 Jan 2022
$$m^\ast$ of two-dimensional electron gas: a neural canonical transformation study$ $m^\ast$ of two-dimensional electron gas: a neural canonical transformation study H.-j. Xie Linfeng Zhang Lei Wang 36 8 0 10 Jan 2022
A Compact Neural Network-based Algorithm for Robust Image Watermarking Hongcai Xu Rong Wang Jia Wei Shao-Ping Lu 27 13 0 27 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin S. Feizi Ramalingam Chellappa AAML 29 12 0 12 Dec 2021
Decomposing Representations for Deterministic Uncertainty Estimation Haiwen Huang Joost R. van Amersfoort Y. Gal UQCV OOD UD 32 1 0 01 Dec 2021
Forward Operator Estimation in Generative Models with Kernel Transfer Operators Z. Huang Rudrasis Chakraborty Vikas Singh GAN 16 3 0 01 Dec 2021
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 29 3 0 25 Nov 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 30 22 0 24 Nov 2021
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 72 69 0 09 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 33 93 0 02 Nov 2021
Resampling Base Distributions of Normalizing Flows Vincent Stimper Bernhard Schölkopf José Miguel Hernández-Lobato BDL 30 32 0 29 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 33 70 0 25 Oct 2021
Sinkformers: Transformers with Doubly Stochastic Attention Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 32 77 0 22 Oct 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan Stefan Roth TPM 12 2 0 17 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness Vincent Fortuin Mark Collier F. Wenzel J. Allingham J. Liu Dustin Tran Balaji Lakshminarayanan Jesse Berent Rodolphe Jenatton E. Kokiopoulou UQCV 34 11 0 06 Oct 2021
Manifold-preserved GANs Haozhe Liu Hanbang Liang Xianxu Hou Haoqian Wu Feng Liu Linlin Shen 52 5 0 18 Sep 2021
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 179 90 0 31 Aug 2021
m-RevNet: Deep Reversible Neural Networks with Momentum Duo Li Shangqi Gao 36 5 0 12 Aug 2021
Reachability Analysis of Neural Feedback Loops M. Everett Golnaz Habibi Chuangchuang Sun Jonathan P. How 19 53 0 09 Aug 2021
Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris 18 12 0 21 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 22 22 0 05 Jul 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 27 19 0 24 Jun 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 21 1 0 23 Jun 2021
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 29 8 0 21 Jun 2021
Deep Generative Learning via Schrödinger Bridge Gefei Wang Yuling Jiao Qiang Xu Yang Wang Can Yang DiffM OT 23 92 0 19 Jun 2021
Memory-Efficient Differentiable Transformer Architecture Search Yuekai Zhao Li Dong Yelong Shen Zhihua Zhang Furu Wei Weizhu Chen ViT 30 17 0 31 May 2021
Efficient and Accurate Gradients for Neural SDEs Patrick Kidger James Foster Xuechen Li Terry Lyons DiffM 24 60 0 27 May 2021
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery Weibing Zhao Xu Yan Jiantao Gao Ruimao Zhang Jiayan Zhang Zhen Li Song Wu Shuguang Cui 3DPC 18 7 0 30 Apr 2021
Invertible Denoising Network: A Light Solution for Real Noise Removal Yang Liu Zhenyue Qin Saeed Anwar Pan Ji Dongwoo Kim Sabrina Caldwell Tom Gedeon 83 143 0 21 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 481 0 08 Mar 2021
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss Zhisheng Xiao Qing Yan Y. Amit 32 2 0 23 Feb 2021
Momentum Residual Neural Networks Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 27 57 0 15 Feb 2021
Jacobian Determinant of Normalizing Flows Huadong Liao Jiawei He DRL 19 7 0 12 Feb 2021
MALI: A memory efficient and reverse accurate integrator for Neural ODEs Juntang Zhuang Nicha Dvornek S. Tatikonda James S. Duncan 27 49 0 09 Feb 2021
Exploring Adversarial Examples via Invertible Neural Networks Ruqi Bai S. Bagchi David I. Inouye AAML 22 2 0 24 Dec 2020
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 35 48 0 14 Dec 2020
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 95 0 10 Dec 2020