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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models Mahsa Khoshnoodi Vinija Jain Mingye Gao Malavika Srikanth Aman Chadha OffRL 125 5 0 15 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 103 0 0 10 May 2024
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression Lucas Kook Chris Kolb Philipp Schiele Daniel Dold Marcel Arpogaus ... Philipp F. M. Baumann Philipp Kopper Tobias Pielok Emilio Dorigatti David Rügamer BDL AI4TS 83 2 0 08 May 2024
Supervised Anomaly Detection for Complex Industrial Images Aimira Baitieva David Hurych Victor Besnier Olivier Bernard 97 6 0 08 May 2024
Generative Planning with Fast Collision Checks for High Speed Navigation Craig Knuth Cora Dimmig Brian A. Bittner 93 0 0 07 May 2024
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting Alireza Koochali Ensiye Tahaei Andreas Dengel Sheraz Ahmed AI4TS 97 1 0 07 May 2024
Structure-based drug design by denoising voxel grids Pedro H. O. Pinheiro Arian R. Jamasb Omar Mahmood Vishnu Sresht Saeed Saremi DiffM 56 9 0 07 May 2024
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 123 13 0 03 May 2024
A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction Weijie Xia Chenguang Wang Peter Palensky Pedro P. Vergara 61 2 0 03 May 2024
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection Canhui Tang Sanpin Zhou Yizhe Li Yonghao Dong Le Wang 65 0 0 03 May 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs Sanmitra Ghosh Paul J. Birrell Daniela De Angelis 77 1 0 02 May 2024
A deep causal inference model for fully-interpretable travel behaviour analysis K. Kamal Bilal Farooq 59 0 0 02 May 2024
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies Finn Rietz Erik Schaffernicht Stefan Heinrich J. A. Stork AI4CE 70 0 0 02 May 2024
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue Linsey Pang Bo An Haipeng Chen Sanjay Chawla 117 5 0 02 May 2024
SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound Haohe Liu Xuenan Xu Yiitan Yuan Mengyue Wu Wenwu Wang Mark D. Plumbley 101 29 0 30 Apr 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Yuxuan Liang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 130 44 0 29 Apr 2024
The Landscape of Unfolding with Machine Learning Nathan Huetsch Javier Marino Villadamigo Alexander Shmakov S. Diefenbacher Vinicius Mikuni ... Kevin Greif Benjamin Nachman D. Whiteson A. Butter Tilman Plehn 93 18 0 29 Apr 2024
Self-Avatar Animation in Virtual Reality: Impact of Motion Signals Artifacts on the Full-Body Pose Reconstruction Antoine Maiorca Seyed Abolfazl Ghasemzadeh Thierry Ravet Franccois Cresson Thierry Dutoit Christophe De Vleeschouwer 67 4 0 29 Apr 2024
Deep generative modelling of canonical ensemble with differentiable thermal properties Shuo-Hui Li Yao-Wen Zhang Ding Pan DRL SyDa 67 1 0 29 Apr 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 238 4 0 29 Apr 2024
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning Michael Majurski Sumeet Menon Parniyan Farvardin David Chapman 84 4 0 27 Apr 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 98 0 0 25 Apr 2024
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues Vandad Davoodnia Saeed Ghorbani M. Carbonneau Alexandre Messier Ali Etemad 88 1 0 23 Apr 2024
Preconditioned Neural Posterior Estimation for Likelihood-free Inference Xiaoyu Wang Ryan P. Kelly D. Warne Christopher C. Drovandi 113 5 0 21 Apr 2024
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder Sheikh Waqas Akhtar DRL 62 0 0 18 Apr 2024
Practical applications of machine-learned flows on gauge fields Ryan Abbott M. S. Albergo D. Boyda D. Hackett G. Kanwar Fernando Romero-López P. Shanahan Julian M. Urban AI4CE 66 11 0 17 Apr 2024
Pixel-Wise Symbol Spotting via Progressive Points Location for Parsing CAD Images Junbiao Pang Zailin Dong Jiaxin Deng Mengyuan Zhu Yunwei Zhang 3DPC 98 0 0 17 Apr 2024
A variational neural Bayes framework for inference on intractable posterior distributions Elliot Maceda Emily C. Hector Amanda Lenzi Brian J. Reich 114 2 0 16 Apr 2024
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark Jiang-She Zhang Chengjie Wang Xiangtai Li Guanzhong Tian Zhucun Xue Yong Liu Guansong Pang Dacheng Tao 104 6 0 16 Apr 2024
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows Georg Rabenstein Lars Ullrich Knut Graichen 68 1 0 15 Apr 2024
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives Yidan Liu Jun Yue Shaobo Xia Pedram Ghamisi Weiying Xie Leyuan Fang DiffM 97 17 0 13 Apr 2024
VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving Zero-Shot Voice Editing Philip Anastassiou Zhenyu Tang Kainan Peng Dongya Jia Jiaxin Li Ming Tu Yuping Wang Yuxuan Wang Mingbo Ma 126 4 0 10 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 184 8 0 08 Apr 2024
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators Shenghai Yuan Jinfa Huang Yujun Shi Yongqi Xu Ruijie Zhu Bin Lin Xinhua Cheng Li-xin Yuan Jiebo Luo VGen 169 36 0 07 Apr 2024
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression Tomoya Wakayama BDL 115 0 0 06 Apr 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests Susanne Dandl Kristin Blesch Timo Freiesleben Gunnar Konig Jan Kapar B. Bischl Marvin N. Wright AAML 117 5 0 04 Apr 2024
Multi Positive Contrastive Learning with Pose-Consistent Generated Images Sho Inayoshi Aji Resindra Widya Satoshi Ozaki Junji Otsuka Takeshi Ohashi 3DH 151 1 0 04 Apr 2024
EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis Shuai Tan Bin Ji Mengxiao Bi Ye Pan 102 30 0 02 Apr 2024
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models Kangfu Mei Zhengzhong Tu M. Delbracio Hossein Talebi Vishal M. Patel P. Milanfar DiffM 88 13 0 01 Apr 2024
Towards Memorization-Free Diffusion Models Chen Chen Daochang Liu Chang Xu VLM 109 33 0 01 Apr 2024
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) Yashar Deldjoo Zhankui He Julian McAuley Anton Korikov Scott Sanner Arnau Ramisa René Vidal M. Sathiamoorthy Atoosa Kasirzadeh Silvia Milano VLM 152 61 0 31 Mar 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 108 6 0 29 Mar 2024
Iso-Diffusion: Improving Diffusion Probabilistic Models Using the Isotropy of the Additive Gaussian Noise Dilum Fernando Dhananjaya Jayasundara Roshan Godaliyadda W. G. C. Bandara Parakrama Ekanayake Vijitha Herath DiffM 73 0 0 25 Mar 2024
Convergence analysis of OT-Flow for sample generation Yang Jing Lei Li 57 1 0 24 Mar 2024
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion Jia Wei Xingjun Zhang Witold Pedrycz DiffM 59 0 0 23 Mar 2024
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment Yuanbang Liang Bhavesh Garg Paul L. Rosin Yipeng Qin EGVM 97 1 0 22 Mar 2024
ReGenNet: Towards Human Action-Reaction Synthesis Liang Xu Yizhou Zhou Yichao Yan Xin Jin Wenhan Zhu Fengyun Rao Xiaokang Yang Wenjun Zeng 97 18 0 18 Mar 2024
Personalized 3D Human Pose and Shape Refinement Tom Wehrbein Bodo Rosenhahn Iain A. Matthews Carsten Stoll 3DH 83 1 0 18 Mar 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao Yi-Chen Lo Chia-Che Chang Hao-Wei Chen Roy Tseng Chien Feng Chun-Yi Lee SupR 77 5 0 16 Mar 2024
Neural-Kernel Conditional Mean Embeddings Eiki Shimizu Kenji Fukumizu Dino Sejdinovic 50 4 0 16 Mar 2024