NICE: Non-linear Independent Components Estimation

30 October 2014

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

50 / 514 papers shown

Title
Residual ANODE Ranit Das Gregor Kasieczka David Shih 34 7 0 18 Dec 2023
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems Christian L. Jacobsen Yilin Zhuang Karthik Duraisamy AI4CE SyDa DiffM 34 17 0 16 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 21 0 0 12 Dec 2023
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 23 1 0 09 Nov 2023
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 26 0 0 01 Nov 2023
Canonical normalizing flows for manifold learning Kyriakos Flouris E. Konukoglu DRL 67 7 0 19 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 39 41 0 04 Oct 2023
Human Kinematics-inspired Skeleton-based Video Anomaly Detection Jian Xiao Tianyuan Liu Genlin Ji 3DH 24 2 0 27 Sep 2023
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling Kshitij Tayal Arvind Renganathan Rahul Ghosh X. Jia Vipin Kumar SyDa AI4CE 60 5 0 19 Sep 2023
Application-driven Validation of Posteriors in Inverse Problems T. Adler Jan-Hinrich Nolke Annika Reinke M. Tizabi Sebastian Gruber ... Lynton Ardizzone Paul F. Jaeger Florian Buettner Ullrich Kothe Lena Maier-Hein MedIm 42 1 0 18 Sep 2023
Elucidating the Exposure Bias in Diffusion Models Mang Ning Mingxiao Li Jianlin Su A. A. Salah Itir Onal Ertugrul DiffM 125 35 0 29 Aug 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 53 10 0 28 Aug 2023
SE(3) Equivariant Augmented Coupling Flows Laurence I. Midgley Vincent Stimper Javier Antorán Emile Mathieu Bernhard Schölkopf José Miguel Hernández-Lobato 47 23 0 20 Aug 2023
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval Hanxi Li Jianfei Hu Bo-wen Li Hao Chen Yongbin Zheng Chunhua Shen 45 17 0 13 Aug 2023
Audio is all in one: speech-driven gesture synthetics using WavLM pre-trained model Fan Zhang Naye Ji Fuxing Gao Siyuan Zhao Zhaohan Wang Shunman Li 32 0 0 11 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 34 6 0 04 Aug 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation Guoqiang Zhang J. P. Lewis W. Kleijn DiffM 37 24 0 10 Jul 2023
Koopman operator learning using invertible neural networks Yuhuang Meng Jian-Kai Huang Yue Qiu 13 12 0 30 Jun 2023
PaReprop: Fast Parallelized Reversible Backpropagation Tyler Lixuan Zhu K. Mangalam 17 1 0 15 Jun 2023
On Certified Generalization in Structured Prediction Bastian Boll Christoph Schnörr 29 0 0 15 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 29 1 0 15 Jun 2023
VideoComposer: Compositional Video Synthesis with Motion Controllability Xiang Wang Hangjie Yuan Shiwei Zhang Dayou Chen Jiuniu Wang Yingya Zhang Yujun Shen Deli Zhao Jingren Zhou VGen DiffM 35 319 0 03 Jun 2023
Lifting Architectural Constraints of Injective Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 39 8 0 02 Jun 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 37 24 0 01 Jun 2023
Neuro-Causal Factor Analysis Alex Markham Ming-Yu Liu Bryon Aragam Liam Solus CML 35 3 0 31 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 50 7 0 26 May 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 3 0 24 May 2023
Inductive Simulation of Calorimeter Showers with Normalizing Flows M. Buckley Claudius Krause Ian Pang David Shih AI4CE 26 22 0 19 May 2023
Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Model Xiangyu Rui Xiangyong Cao Li Pang Zeyu Zhu Zongsheng Yue Deyu Meng DiffM 37 29 0 18 May 2023
A Flow-Based Generative Model for Rare-Event Simulation Lachlan J. Gibson Marcus Hoerger Dirk P. Kroese 21 4 0 13 May 2023
Semi-Equivariant Conditional Normalizing Flows Eyal Rozenberg Daniel Freedman 27 0 0 13 Apr 2023
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design Zaixin Zhang Qi Liu Cheekong Lee Chang-Yu Hsieh Enhong Chen 29 18 0 12 Apr 2023
Neural Lens Modeling Wenqi Xian Aljavz Bovzivc Noah Snavely Christoph Lassner 3DV 32 7 0 10 Apr 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 34 13 0 10 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 40 1 0 07 Apr 2023
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow Haiming Yao Wei Luo Wenyong Yu ViT 34 3 0 31 Mar 2023
Implicit Diffusion Models for Continuous Super-Resolution Sicheng Gao Xuhui Liu Bo-Wen Zeng Sheng Xu Yanjing Li Xiaonan Luo Jianzhuang Liu Xiantong Zhen Baochang Zhang DiffM 47 218 0 29 Mar 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 40 7 0 26 Mar 2023
A Generative Modeling Approach Using Quantum Gates Soumya Sarkar GAN 25 0 0 25 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 31 1 0 24 Mar 2023
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models Weijia Wu Yuzhong Zhao Mike Zheng Shou Hong Zhou Chunhua Shen 50 140 0 21 Mar 2023
Focus or Not: A Baseline for Anomaly Event Detection On the Open Public Places with Satellite Images Y. Jeon Youngtack Oh Doyoung Jeong Hyunguk Choi Junsik Kim 38 0 0 21 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 Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 38 509 0 07 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow Jiarui Lei Xiao-Xiang Hu Yue Wang Dong Liu 45 59 0 05 Mar 2023
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling Jinhai Yang Mengxi Guo Shijie Zhao Junlin Li Li Zhang 26 4 0 04 Mar 2023
A Lifted Bregman Formulation for the Inversion of Deep Neural Networks Xiaoyu Wang Martin Benning 38 2 0 01 Mar 2023
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows Anna Willmann J. C. Cabadağ Yen-Yu Chang R. Pausch Amin Ghaith A. Debus A. Irman Michael Bussmann U. Schramm Nico Hoffmann 11 0 0 27 Feb 2023
Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow Yoonhyung Lee Jinhyeok Yang Kyomin Jung 28 6 0 27 Feb 2023
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 26 9 0 24 Feb 2023