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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
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset William Taylor-Melanson Zahra Sadeghi Stan Matwin CML 83 6 0 21 Jan 2024
Generative Model for Constructing Reaction Path from Initial to Final States Akihide Hayashi So Takamoto Ju Li Daisuke Okanohara 70 2 0 19 Jan 2024
Enhancing Dynamical System Modeling through Interpretable Machine Learning Augmentations: A Case Study in Cathodic Electrophoretic Deposition Christian L. Jacobsen Jiayuan Dong Mehdi Khalloufi Xun Huan Karthik Duraisamy Maryam Akram Wanjiao Liu 75 1 0 16 Jan 2024
Deep Learning With DAGs Sourabh Vivek Balgi Adel Daoud Jose M. Pena G. Wodtke Jesse Zhou AI4CE CML 60 2 0 12 Jan 2024
EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models Jingyuan Yang Jiawei Feng Hui Huang VLM 56 8 0 09 Jan 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization J. Kuba Masatoshi Uehara Pieter Abbeel Sergey Levine AI4CE 116 6 0 08 Jan 2024
Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules Joseph C. Kim David Bloore Karan Kapoor Jun Feng Ming-Hong Hao Mengdi Wang 73 8 0 08 Jan 2024
Sampling in Unit Time with Kernel Fisher-Rao Flow A. Maurais Youssef Marzouk 69 18 0 08 Jan 2024
Deep Learning-based Image and Video Inpainting: A Survey Weize Quan Jiaxi Chen Yanli Liu Dong-Ming Yan Peter Wonka 3DV 78 38 0 07 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 145 1 0 05 Jan 2024
Simulation-Based Inference with Quantile Regression He Jia 75 2 0 04 Jan 2024
Distillation-based fabric anomaly detection Simon Thomine H. Snoussi 91 13 0 04 Jan 2024
Transformer Neural Autoregressive Flows Massimiliano Patacchiola Aliaksandra Shysheya Katja Hofmann Richard Turner TPM 49 3 0 03 Jan 2024
Graph-Convolutional Autoencoder Ensembles for the Humanities, Illustrated with a Study of the American Slave Trade Tom Lippincott AI4CE 40 0 0 01 Jan 2024
Diffusion Models, Image Super-Resolution And Everything: A Survey Brian B. Moser Arundhati S. Shanbhag Federico Raue Stanislav Frolov Sebastián M. Palacio Andreas Dengel 108 41 0 01 Jan 2024
Accent-VITS:accent transfer for end-to-end TTS Linhan Ma Yongmao Zhang Xinfa Zhu Yinjiao Lei Ziqian Ning Pengcheng Zhu Lei Xie 94 7 0 28 Dec 2023
Metropolis-adjusted interacting particle sampling Bjorn Sprungk Simon Weissmann Jakob Zech 58 7 0 21 Dec 2023
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 88 45 0 20 Dec 2023
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Nikita Kotelevskii Samuel Horváth Karthik Nandakumar Martin Takáč Maxim Panov UQCV FedML OOD 53 8 0 18 Dec 2023
FAKEPCD: Fake Point Cloud Detection via Source Attribution Y. Qu Zhikun Zhang Yun Shen Michael Backes Yang Zhang 3DPC 71 0 0 18 Dec 2023
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs Kevin Course P. Nair 97 3 0 16 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 99 22 0 16 Dec 2023
NM-FlowGAN: Modeling sRGB Noise with a Hybrid Approach based on Normalizing Flows and Generative Adversarial Networks Young Joo Han Ha-Jin Yu 78 1 0 15 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 70 16 0 15 Dec 2023
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling Timothy D. Gebhard J. Wildberger Maximilian Dax Daniel Angerhausen S. Quanz Bernhard Schölkopf 55 6 0 13 Dec 2023
A Survey of Generative AI for Intelligent Transportation Systems Huan Yan Yong Li 54 10 0 13 Dec 2023
$ρ$ -Diffusion: A diffusion-based density estimation framework for computational physics Maxwell X. Cai Kin Long Kelvin Lee DiffM 55 1 0 13 Dec 2023
An approximate operator-based learning method for the numerical solutions of stochastic differential equations Jingyuan Li Wei Liu 53 0 0 13 Dec 2023
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 101 2 0 13 Dec 2023
Topological Obstructions and How to Avoid Them Babak Esmaeili Robin Walters Heiko Zimmermann Jan-Willem van de Meent AI4CE 63 3 0 12 Dec 2023
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection Jiangning Zhang Xuhai Chen Yabiao Wang Chengjie Wang Yong Liu Xiangtai Li Ming-Hsuan Yang Dacheng Tao 124 28 0 12 Dec 2023
GMTalker: Gaussian Mixture-based Audio-Driven Emotional Talking Video Portraits Yibo Xia Lizhen Wang Xiang Deng Xiaoyan Luo Yunhong Wang Yebin Liu VGen 128 1 0 12 Dec 2023
Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings D. Chatterjee Philip C. Harris Maanas Goel Malina Desai Michael W. Coughlin E. Katsavounidis 70 1 0 11 Dec 2023
Resetting a fixed broken ELBO R. Cukier BDL DRL 52 0 0 11 Dec 2023
CAD: Photorealistic 3D Generation via Adversarial Distillation Bo Liu Despoina Paschalidou Ian Huang Hongyu Liu Bokui Shen Xiaoyu Xiang Jing Liao Leonidas Guibas DiffM 146 11 0 11 Dec 2023
WISE: full-Waveform variational Inference via Subsurface Extensions Ziyi Yin Rafael Orozco M. Louboutin Felix J. Herrmann 112 17 0 11 Dec 2023
Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows P. Milkowski Konrad Karanowski Patryk Wielopolski Jan Kocoñ Przemyslaw Kazienko Maciej Zikeba 102 6 0 10 Dec 2023
Consistency Models for Scalable and Fast Simulation-Based Inference Marvin Schmitt Valentin Pratz Ullrich Kothe Paul-Christian Bürkner Stefan T. Radev 107 13 0 09 Dec 2023
Investigating the Design Space of Diffusion Models for Speech Enhancement Philippe Gonzalez Zheng-Hua Tan Jan Østergaard Jesper Jensen T. S. Alstrøm Tobias May DiffM 72 8 0 07 Dec 2023
iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design Ruyi Gan Xiaojun Wu Junyu Lu Yuanhe Tian Di Zhang ... Renliang Sun Chang Liu Jiaxing Zhang Pingjian Zhang Yan Song 246 4 0 07 Dec 2023
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control Yuru Jia Lukas Hoyer Shengyu Huang Tianfu Wang Luc Van Gool Konrad Schindler Anton Obukhov DiffM 123 24 0 05 Dec 2023
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding Thong Nguyen Xiaobao Wu Xinshuai Dong Cong-Duy Nguyen See-Kiong Ng Anh Tuan Luu 106 8 0 05 Dec 2023
Stochastic Optimal Control Matching Carles Domingo-Enrich Jiequn Han Brandon Amos Joan Bruna Ricky T. Q. Chen DiffM 124 10 0 04 Dec 2023
OpenVoice: Versatile Instant Voice Cloning Zengyi Qin Wenliang Zhao Xumin Yu Xin Sun VLM 77 24 0 03 Dec 2023
$t^3$ -Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence Juno Kim Jaehyuk Kwon Mincheol Cho Hyunjong Lee Joong-Ho Won 67 3 0 02 Dec 2023
Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference Kaiwen Hou 90 0 0 30 Nov 2023
On Exact Inversion of DPM-Solvers Seongmin Hong Kyeonghyun Lee Suh Yoon Jeon Hyewon Bae Se Young Chun DiffM 79 27 0 30 Nov 2023
Learning to Simulate: Generative Metamodeling via Quantile Regression L. Hong Yanxi Hou Qingkai Zhang Xiaowei Zhang 151 2 0 29 Nov 2023
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 102 10 0 27 Nov 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning Changyu Chen Ramesha Karunasena Thanh Hong Nguyen Arunesh Sinha Pradeep Varakantham 98 9 0 26 Nov 2023