NICE: Non-linear Independent Components Estimation

30 October 2014

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

44 / 44 papers shown

Title
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking Chen-Hao Chao Wei-Fang Sun Hanwen Liang Chun-Yi Lee Rahul G. Krishnan DiffM 258 0 0 24 May 2025
Accelerate TarFlow Sampling with GS-Jacobi Iteration Ben Liu Zhen Qin 53 0 0 19 May 2025
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts Hongkun Dou Zeyu Li Xingyu Jiang Haoyang Li Lijun Yang Wen Yao Yue Deng DiffM 137 0 0 12 May 2025
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning Sanghwan Bae Jiwoo Hong Min Young Lee Hanbyul Kim Jeongyeon Nam Donghyun Kwak OffRL LRM 72 0 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 388 0 0 31 Mar 2025
Graphical Transformation Models Matthias Herp Johannes Brachem Michael Altenbuchinger Thomas Kneib 106 0 0 22 Mar 2025
INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration Di You Pier Luigi Dragotti DiffM 74 2 0 23 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 89 2 0 13 Jan 2025
Explicit and data-Efficient Encoding via Gradient Flow Kyriakos Flouris Anna Volokitin G. Bredell E. Konukoglu AI4CE 105 1 0 01 Dec 2024
Expert-elicitation method for non-parametric joint priors using normalizing flows F. Bockting Stefan T. Radev Paul-Christian Bürkner BDL 142 1 0 24 Nov 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 134 19 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 Gabriel Loaiza-Ganem 88 7 0 31 Oct 2024
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows Stefan Wahl Armand Rousselot Felix Dräxler Ullrich Kothe Ullrich Köthe 98 0 0 25 Oct 2024
Variational Source-Channel Coding for Semantic Communication Yulong Feng Jing Xu Liujun Hu Guanghui Yu Xiangyang Duan 44 0 0 26 Sep 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 68 0 0 31 Jul 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 101 34 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 96 0 0 11 Jun 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 92 13 0 27 May 2024
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels Patryk Wielopolski Oleksii Furman Łukasz Lenkiewicz Jerzy Stefanowski Maciej Ziȩba 50 0 0 27 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 102 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 95 7 0 08 Apr 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 89 12 0 26 Mar 2024
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 59 1 0 18 Sep 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 95 11 0 28 Aug 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 47 1 0 15 Jun 2023
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 112 3 0 22 Oct 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 108 444 0 17 Jun 2020
Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settings Patrik Jonell Taras Kucherenko G. Henter Jonas Beskow CVBM 45 61 0 11 Jun 2020
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 143 858 0 28 Nov 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 135 1,343 0 19 May 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 91 529 0 17 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 101 1,721 0 31 Dec 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 846 149,474 0 22 Dec 2014
Deep Directed Generative Autoencoders Sherjil Ozair Yoshua Bengio DRL 34 18 0 02 Oct 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation Yoshua Bengio 71 182 0 29 Jul 2014
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 109 729 0 31 Jan 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 367 16,962 0 20 Dec 2013
Deep AutoRegressive Networks Karol Gregor Ivo Danihelka A. Mnih Charles Blundell Daan Wierstra AI4TS BDL 66 281 0 31 Oct 2013
Pylearn2: a machine learning research library Ian Goodfellow David Warde-Farley Pascal Lamblin Vincent Dumoulin M. Berk Mirza Razvan Pascanu James Bergstra Frédéric Bastien Yoshua Bengio MU 62 305 0 20 Aug 2013
RNADE: The real-valued neural autoregressive density-estimator Benigno Uria Iain Murray Hugo Larochelle 80 237 0 02 Jun 2013
High-Dimensional Probability Estimation with Deep Density Models Oren Rippel Ryan P. Adams 111 124 0 20 Feb 2013
Theano: new features and speed improvements Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio 75 1,420 0 23 Nov 2012
Better Mixing via Deep Representations Yoshua Bengio Grégoire Mesnil Yann N. Dauphin Salah Rifai 62 339 0 18 Jul 2012
Deep Mixtures of Factor Analysers Yichuan Tang Ruslan Salakhutdinov Geoffrey E. Hinton 53 68 0 18 Jun 2012