NICE: Non-linear Independent Components Estimation

30 October 2014

Papers citing "NICE: Non-linear Independent Components Estimation"

50 / 518 papers shown

Title
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation Aditya Sanghi Hang Chu Joseph G. Lambourne Ye Wang Chin-Yi Cheng Marco Fumero Kamal Rahimi Malekshan CLIP 60 289 0 06 Oct 2021
End-to-End Image Compression with Probabilistic Decoding Haichuan Ma Dong Liu Cunhui Dong Li Li Feng Wu 19 1 0 30 Sep 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 30 73 0 23 Sep 2021
Locally-symplectic neural networks for learning volume-preserving dynamics J. Bajārs 34 9 0 19 Sep 2021
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models Maciej Wołczyk Magdalena Proszewska Lukasz Maziarka Maciej Ziȩba Patryk Wielopolski Rafał Kurczab Marek Śmieja DRL 29 5 0 18 Sep 2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis Jing Ren Biao Zhang Bojian Wu Jianqiang Huang Lubin Fan M. Ovsjanikov Peter Wonka 19 19 0 16 Sep 2021
Low-Light Image Enhancement with Normalizing Flow Yufei Wang Renjie Wan Wenhan Yang Haoliang Li Lap-Pui Chau Alex C. Kot 103 356 0 13 Sep 2021
IICNet: A Generic Framework for Reversible Image Conversion Ka Leong Cheng Yueqi Xie Qifeng Chen 48 24 0 09 Sep 2021
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 31 13 0 07 Sep 2021
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 179 90 0 31 Aug 2021
Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models Ling Guo Hao Wu Tao Zhou AI4CE 14 45 0 30 Aug 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 32 71 0 26 Aug 2021
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training Hari Prasanna Das Ryan Tran Japjot Singh Yu-Wen Lin C. Spanos OOD 21 11 0 25 Aug 2021
m-RevNet: Deep Reversible Neural Networks with Momentum Duo Li Shangqi Gao 36 5 0 12 Aug 2021
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling Christos Sakaridis Andreas Lugmayr Peng Sun Martin Danelljan Luc Van Gool Radu Timofte 48 102 0 11 Aug 2021
Enhanced Invertible Encoding for Learned Image Compression Yueqi Xie Ka Leong Cheng Qifeng Chen 52 189 0 08 Aug 2021
Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes Wenhang Ge Chunyan Pan Ancong Wu Hongwei Zheng Weishi Zheng 27 26 0 29 Jul 2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 28 118 0 29 Jul 2021
Insights from Generative Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt VGen 35 16 0 28 Jul 2021
Copula-Based Normalizing Flows M. Laszkiewicz Johannes Lederer Asja Fischer 36 7 0 15 Jul 2021
Blind Image Super-Resolution: A Survey and Beyond Anran Liu Yihao Liu Jinjin Gu Yu Qiao Chao Dong 36 161 0 07 Jul 2021
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability Anubhab Ghosh Antoine Honoré Dong Liu G. Henter S. Chatterjee 16 5 0 01 Jul 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 20 353 0 29 Jun 2021
FitVid: Overfitting in Pixel-Level Video Prediction Mohammad Babaeizadeh M. Saffar Suraj Nair Sergey Levine Chelsea Finn D. Erhan VLM 54 82 0 24 Jun 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 26 0 0 24 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 26 16 0 24 Jun 2021
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 34 8 0 21 Jun 2021
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation Magda Amiridi Nikos Kargas N. Sidiropoulos 21 10 0 20 Jun 2021
Deep Generative Learning via Schrödinger Bridge Gefei Wang Yuling Jiao Qiang Xu Yang Wang Can Yang DiffM OT 23 93 0 19 Jun 2021
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting Martine Toering Ioannis Gatopoulos M. Stol Vincent Tao Hu SSL 40 11 0 18 Jun 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models Tijin Yan Hongwei Zhang Tong Zhou Yufeng Zhan Yuanqing Xia DiffM AI4TS 36 38 0 18 Jun 2021
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks Joseph Aylett-Bullock S. Badger Ryan Moodie 23 22 0 17 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 30 118 0 12 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 22 36 0 10 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 29 4 0 10 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques Jianyuan Deng Zhibo Yang Iwao Ojima Dimitris Samaras Fusheng Wang AI4TS 42 100 0 09 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 39 81 0 09 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition C. Bai Hsuan-Tien Lin Colin Raffel Wendy Kan 18 34 0 06 Jun 2021
Semi-Empirical Objective Functions for MCMC Proposal Optimization Chris Cannella Vahid Tarokh 31 1 0 03 Jun 2021
Transformation Models for Flexible Posteriors in Variational Bayes Sefan Hörtling Daniel Dold Oliver Durr Beate Sick 23 0 0 01 Jun 2021
Variational Gaussian Topic Model with Invertible Neural Projections Rui Wang Deyu Zhou Yuxuan Xiong Haiping Huang BDL 27 3 0 21 May 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 37 170 0 19 May 2021
Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network Yang Liu Saeed Anwar Zhenyue Qin Pan Ji Sabrina Caldwell Tom Gedeon OOD 22 15 0 11 May 2021
LINN: Lifting Inspired Invertible Neural Network for Image Denoising Jun-Jie Huang Pier Luigi Dragotti AI4CE 15 15 0 07 May 2021
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation Lynton Ardizzone Jakob Kruse Carsten T. Lüth Niels Bracher Carsten Rother Ullrich Kothe 21 32 0 05 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
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows Eike Cramer Alexander Mitsos Raúl Tempone Manuel Dahmen 40 13 0 21 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 26 24 0 20 Apr 2021
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction Wenjie Yin Hang Yin Danica Kragic Mårten Björkman 3DH 13 15 0 07 Apr 2021