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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,270 papers shown

Title
Invertible Monotone Operators for Normalizing Flows Byeongkeun Ahn Chiyoon Kim Youngjoon Hong Hyunwoo J. Kim TPM 105 8 0 15 Oct 2022
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Srishti Gautam Ahcène Boubekki Stine Hansen Suaiba Amina Salahuddin Robert Jenssen Marina M.-C. Höhne Michael C. Kampffmeyer 79 38 0 15 Oct 2022
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection Marco Rudolph Tom Wehrbein Bodo Rosenhahn Bastian Wandt 133 143 0 14 Oct 2022
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows Hanlin Wu Ning Ni Shan Wang Li-bao Zhang 66 8 0 14 Oct 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding Songyang Gao Shihan Dou Qi Zhang Xuanjing Huang 43 8 0 14 Oct 2022
Latent Temporal Flows for Multivariate Analysis of Wearables Data Magda Amiridi Gregory Darnell S. Jewell AI4TS 51 2 0 14 Oct 2022
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference R. Khabibullin S. Seleznev 61 1 0 13 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 189 507 0 12 Oct 2022
Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference Maximilian Dax Stephen R. Green J. Gair M. Purrer J. Wildberger Jakob H. Macke A. Buonanno Bernhard Schölkopf BDL 108 58 0 11 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 126 39 0 10 Oct 2022
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 71 28 0 09 Oct 2022
Flow-based GAN for 3D Point Cloud Generation from a Single Image Yao Wei G. Vosselman M. Yang 3DPC 90 8 0 08 Oct 2022
Learning to Learn and Sample BRDFs Chen Liu Michael Fischer Tobias Ritschel AI4CE 110 14 0 07 Oct 2022
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow Jiayi Wang D. Luvizon Franziska Mueller Florian Bernard Adam Kortylewski Dan Casas Christian Theobalt 3DH 79 6 0 04 Oct 2022
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows Maksim Zhdanov L. Randolph T. Kluge M. Nakatsutsumi C. Gutt M. Ganeva Nico Hoffmann 80 0 0 04 Oct 2022
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration Yuma Koizumi Kohei Yatabe Heiga Zen M. Bacchiani DiffM 116 30 0 03 Oct 2022
Multi-objective Deep Data Generation with Correlated Property Control Shiyu Wang Xiaojie Guo Xuanyang Lin Bo Pan Yuanqi Du ... S. Alkhalifa K. Minbiole Bill Wuest Amarda Shehu Liang Zhao AI4CE 118 14 0 01 Oct 2022
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders Oskar Kviman Ricky Molén A. Hotti Semih Kurt Victor Elvira J. Lagergren 82 11 0 30 Sep 2022
Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping Aamir Mustafa Param Hanji Rafał K. Mantiuk 70 10 0 30 Sep 2022
Training Normalizing Flows from Dependent Data Matthias Kirchler C. Lippert Marius Kloft TPM 65 2 0 29 Sep 2022
medigan: a Python library of pretrained generative models for medical image synthesis Richard Osuala Grzegorz Skorupko Noussair Lazrak Lidia Garrucho E. García ... Michael Rutherford Fred Prior Kaisar Kushibar Oliver Díaz Karim Lekadir LM&MA MedIm 73 23 0 28 Sep 2022
Out-of-Distribution Detection for LiDAR-based 3D Object Detection Chengjie Huang Van Duong Nguyen Vahdat Abdelzad Christopher Gus Mannes Luke Rowe Benjamin Therien Rick Salay Krzysztof Czarnecki OODD 3DPC 202 18 0 28 Sep 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 140 30 0 28 Sep 2022
ButterflyFlow: Building Invertible Layers with Butterfly Matrices Chenlin Meng Linqi Zhou Kristy Choi Tri Dao Stefano Ermon TPM 165 12 0 28 Sep 2022
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour Fernando Perez-Cruz 69 1 0 27 Sep 2022
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders Lisa Bonheme M. Grzes DRL 88 6 0 26 Sep 2022
Implementing and Experimenting with Diffusion Models for Text-to-Image Generation Robin Zbinden 44 3 0 22 Sep 2022
Amortized Variational Inference: A Systematic Review Ankush Ganguly Sanjana Jain Ukrit Watchareeruetai 92 17 0 22 Sep 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 139 6 0 22 Sep 2022
DeepVARwT: Deep Learning for a VAR Model with Trend Xixi Li Jingsong Yuan 56 0 0 21 Sep 2022
Continuous Mixtures of Tractable Probabilistic Models Alvaro H. C. Correia G. Gala Erik Quaeghebeur Cassio de Campos Robert Peharz TPM 96 18 0 21 Sep 2022
Learning Sparse Latent Representations for Generator Model Hanao Li Tian Han 57 1 0 20 Sep 2022
Collaborative Anomaly Detection Ke Bai Aonan Zhang Zhizhong Li Ricardo Heano Chong-Jun Wang Lawrence Carin 65 1 0 20 Sep 2022
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models Cansu Korkmaz A. Murat Tekalp Zafer Doğan Erkut Erdem Aykut Erdem 64 2 0 18 Sep 2022
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model Hao Cheng Mengmeng Liu Linyuan Chen Hellward Broszio Monika Sester M. Yang 134 59 0 16 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 97 24 0 15 Sep 2022
Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi Yusuke Iwasawa Wataru Kumagai Yutaka Matsuo BDL SyDa 85 2 0 15 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 91 13 0 15 Sep 2022
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning Yaohua Guo Lijuan Song Zirui Ma 48 0 0 15 Sep 2022
Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 101 21 0 13 Sep 2022
Unsupervised representation learning with recognition-parametrised probabilistic models William I. Walker Hugo Soulat Changmin Yu M. Sahani BDL 63 5 0 13 Sep 2022
The Mori-Zwanzig formulation of deep learning D. Venturi Xiantao Li 101 1 0 12 Sep 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification Xue Li Wei Shen Denis Xavier Charles UQCV EDL 92 3 0 12 Sep 2022
Use Classifier as Generator Haoyang Li VLM 43 0 0 10 Sep 2022
Batch Bayesian Optimization via Particle Gradient Flows Enrico Crovini S. Cotter K. Zygalakis Andrew B. Duncan 72 3 0 10 Sep 2022
Revisiting Active Sets for Gaussian Process Decoders Pablo Moreno-Muñoz Cilie W. Feldager Søren Hauberg 90 3 0 10 Sep 2022
Improved Masked Image Generation with Token-Critic José Lezama Huiwen Chang Lu Jiang Irfan Essa DiffM 250 48 0 09 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 283 1,056 0 07 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 332 239 0 06 Sep 2022
Conditional Independence Testing via Latent Representation Learning Bao Duong T. Nguyen BDL CML 102 7 0 04 Sep 2022