NICE: Non-linear Independent Components Estimation

30 October 2014

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

50 / 514 papers shown

Title
Accelerate TarFlow Sampling with GS-Jacobi Iteration Ben Liu Zhen Qin 22 0 0 19 May 2025
Missing Data Imputation by Reducing Mutual Information with Rectified Flows Jiahao Yu Qizhen Ying Leyang Wang Z. L. Jiang Song Liu 12 0 0 16 May 2025
DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis Zeeshan Ahmad Shudi Bao Meng Chen 20 0 0 14 May 2025
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder Bowen Zhang Congchao Guo Geng Yang Hang Yu Haozhe Zhang ... Yichen Xiao Yiying Zhou Yujie Zhang Yuan Lu Yucen He 26 0 0 12 May 2025
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts Hongkun Dou Zeyu Li Xingyu Jiang Yiming Li Lijun Yang Wen Yao Yue Deng DiffM 43 0 0 12 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 55 0 0 08 May 2025
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning Simo Alami C. Rim Kaddah Jesse Read Marie-Paule Cani 53 0 0 07 May 2025
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations Vincent Souveton Sébastien Terrana 41 0 0 07 May 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee Jinyoung Park Jaewon Chu Minseo Yoon H. Kim BDL 45 2 0 21 Apr 2025
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning Sanghwan Bae Jiwoo Hong Min Young Lee Hanbyul Kim Jeongyeon Nam Donghyun Kwak OffRL LRM 58 4 0 04 Apr 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion Rana Muhammad Shahroz Khan Dongwen Tang Pingzhi Li Kai Wang Tianlong Chen AI4CE 226 0 0 31 Mar 2025
Graphical Transformation Models Matthias Herp Johannes Brachem Michael Altenbuchinger Thomas Kneib 50 0 0 22 Mar 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 63 0 0 03 Mar 2025
INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration Di You Pier Luigi Dragotti DiffM 45 2 0 23 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 62 2 0 13 Jan 2025
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference Sebastian Salazar Michal Kucer Yixin Wang Emily Casleton David Blei DiffM 98 0 0 17 Dec 2024
Explicit and data-Efficient Encoding via Gradient Flow Kyriakos Flouris Anna Volokitin G. Bredell E. Konukoglu AI4CE 84 1 0 01 Dec 2024
AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea Qifan Yu Wei Chow Zhongqi Yue Kaihang Pan Yang Wu Xiaoyang Wan Juncheng Billy Li Siliang Tang Hao Zhang Yueting Zhuang DiffM 110 17 0 24 Nov 2024
Expert-elicitation method for non-parametric joint priors using normalizing flows F. Bockting Stefan T. Radev Paul-Christian Bürkner BDL 105 1 0 24 Nov 2024
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell G. Loaiza-Ganem 64 6 0 31 Oct 2024
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows Stefan Wahl Armand Rousselot Felix Dräxler Ullrich Kothe Ullrich Köthe 39 0 0 25 Oct 2024
Variational Source-Channel Coding for Semantic Communication Yulong Feng Jing Xu Liujun Hu Guanghui Yu Xiangyang Duan 28 0 0 26 Sep 2024
INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction Soumitra Kundu Gargi Panda Saumik Bhattacharya Aurobinda Routray Rajlakshmi Guha 49 0 0 13 Sep 2024
JacNet: Learning Functions with Structured Jacobians Jonathan Lorraine Safwan Hossain 50 6 0 23 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 41 0 0 31 Jul 2024
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation Jian Qian Miao Sun Sifan Zhou Biao Wan Minhao Li Patrick Chiang 46 7 0 05 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 49 1 0 04 Jul 2024
Transferable Boltzmann Generators Leon Klein Frank Noé 56 13 0 20 Jun 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 82 33 0 17 Jun 2024
A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion Xiaoli Zhang Liying Wang Libo Zhao Xiongfei Li Siwei Ma 47 0 0 11 Jun 2024
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation Lianyu Pang Jian Yin Baoquan Zhao Feize Wu Fu Lee Wang Qing Li Xudong Mao DiffM 56 1 0 07 Jun 2024
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection Ruituo Wu Yang Chen Jian Xiao Bing Li Jicong Fan Frédéric Dufaux Ce Zhu Yipeng Liu 41 0 0 05 Jun 2024
PETRA: Parallel End-to-end Training with Reversible Architectures Stéphane Rivaud Louis Fournier Thomas Pumir Eugene Belilovsky Michael Eickenberg Edouard Oyallon 27 0 0 04 Jun 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows Thorsten Buss F. Gaede Gregor Kasieczka Claudius Krause David Shih AI4CE 41 6 0 30 May 2024
Self-Supervised Learning Based Handwriting Verification Mihir Chauhan Mohammad Abuzar Shaikh Abhishek Satbhai Mir Basheer Ali B. Ramamurthy Mingchen Gao Siwei Lyu Sargur Srihari 24 2 0 28 May 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows Patryk Wielopolski Oleksii Furman Jerzy Stefanowski Maciej Ziȩba 48 2 0 27 May 2024
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training Kai Wang Yukun Zhou Mingjia Shi Zhihang Yuan Yuzhang Shang Yuzhang Shang Hanwang Zhang Hanwang Zhang Yang You 73 10 0 27 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 51 0 0 10 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 47 3 0 29 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 59 6 0 08 Apr 2024
Multi Positive Contrastive Learning with Pose-Consistent Generated Images Sho Inayoshi Aji Resindra Widya Satoshi Ozaki Junji Otsuka Takeshi Ohashi 3DH 52 1 0 04 Apr 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 72 12 0 26 Mar 2024
Fast and Unified Path Gradient Estimators for Normalizing Flows Lorenz Vaitl Ludwig Winkler Lorenz Richter Pan Kessel 44 4 0 23 Mar 2024
A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation Hanxi Li Zhengxun Zhang Hao Chen Lin Wu Bo Li Deyin Liu Mingwen Wang 55 2 0 29 Feb 2024
Controllable seismic velocity synthesis using generative diffusion models Fu Wang Xinquan Huang T. Alkhalifah DiffM 27 4 0 09 Feb 2024
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling Xiaoyu Shi Zhaoyang Huang Fu-Yun Wang Weikang Bian Dasong Li ... Ka Chun Cheung Simon See Hongwei Qin Jifeng Da Hongsheng Li VGen DiffM 48 81 0 29 Jan 2024
Combining Normalizing Flows and Quasi-Monte Carlo Charly Andral BDL 37 1 0 11 Jan 2024
A Survey on Open-Set Image Recognition Qiulei Dong Qiulei Dong BDL ObjD 34 3 0 25 Dec 2023
InvertibleNetworks.jl: A Julia package for scalable normalizing flows Rafael Orozco Philipp A. Witte M. Louboutin Ali Siahkoohi G. Rizzuti Bas Peters Felix J. Herrmann 40 9 0 20 Dec 2023
Relightable and Animatable Neural Avatars from Videos Wenbin Lin Chengwei Zheng Jun-hai Yong Feng Xu 36 11 0 20 Dec 2023