v1v2v3v4v5v6 (latest)

Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,268 papers shown

Title
Learning Likelihood Ratios with Neural Network Classifiers Shahzar Rizvi M. Pettee Benjamin Nachman 99 14 0 17 May 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata 92 7 0 16 May 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting G. Liang Prayag Tiwari Sławomir Nowaczyk Stefan Byttner F. Alonso-Fernandez DiffM 66 19 0 16 May 2023
Neural Oscillators are Universal S. Lanthaler T. Konstantin Rusch Siddhartha Mishra 101 12 0 15 May 2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation Yiheng Zhu Zhenqiu Ouyang Ben Liao Jialun Wu YiXuan Wu Chang-Yu Hsieh Tingjun Hou Jian Wu AI4CE 83 5 0 15 May 2023
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression I. Butakov Alexander Tolmachev S. Malanchuk A. Neopryatnaya Alexey Frolov K. Andreev 116 7 0 13 May 2023
A Flow-Based Generative Model for Rare-Event Simulation Lachlan J. Gibson Marcus Hoerger Dirk P. Kroese 50 4 0 13 May 2023
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening Gang Yang Xiangyong Cao Wen Xiao Man Zhou Aiping Liu Xun Chen Deyu Meng UQCV 70 18 0 12 May 2023
ELSA -- Enhanced latent spaces for improved collider simulations Benjamin Nachman R. Winterhalder 67 14 0 12 May 2023
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation A. Sengupta Ignas Budvytis R. Cipolla 3DH 104 20 0 11 May 2023
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable Hyeok Kyu Kwon Minwoo Chae DRL 76 3 0 11 May 2023
Joint Metrics Matter: A Better Standard for Trajectory Forecasting Erica Weng Hanako Hoshino Deva Ramanan Kris Kitani 93 14 0 10 May 2023
Principal Feature Detection via $Φ$ -Sobolev Inequalities Matthew T.C. Li Youssef Marzouk O. Zahm 65 9 0 10 May 2023
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer Hideaki Hayashi 84 4 0 10 May 2023
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation E. Buhmann S. Diefenbacher E. Eren F. Gaede Gregor Kasieczka A. Korol W. Korcari K. Krüger Peter McKeown DiffM 111 47 0 08 May 2023
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation Xin-Yang Zheng Hao Pan Peng-Shuai Wang Xin Tong Yang Liu H. Shum 120 132 0 08 May 2023
Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models Wenkai Dong Song Xue Xiaoyue Duan Shumin Han DiffM 99 62 0 08 May 2023
Weakly-Supervised Anomaly Detection in the Milky Way M. Pettee Sowmya Thanvantri Benjamin Nachman David Shih M. Buckley J. Collins 35 7 0 05 May 2023
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows Lars Skaaret-Lund G. Storvik A. Hubin BDL UQCV 71 3 0 05 May 2023
Piecewise Normalizing Flows H. Bevins Will Handley Thomas Gessey-Jones 80 0 0 04 May 2023
Shap-E: Generating Conditional 3D Implicit Functions Heewoo Jun Alex Nichol DiffM 287 322 0 03 May 2023
Tensorizing flows: a tool for variational inference Y. Khoo M. Lindsey Renana Keydar DRL 65 4 0 03 May 2023
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows Chao Du Tianbo Li Tianyu Pang Shuicheng Yan Min Lin DiffM BDL 102 13 0 03 May 2023
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion Kiyohiro Nakayama Mikaela Angelina Uy Jiahui Huang Shihui Hu Ke Li Leonidas Guibas DiffM 124 24 0 03 May 2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data Christiaan Viviers Amaan Valiuddin Peter H. N. de With Fons van der Sommen 86 5 0 01 May 2023
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression Akash Srivastava Seung-Jun Han Kai Xu Benjamin Rhodes Michael U. Gutmann 108 11 0 01 May 2023
Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting M. Algren T. Golling M. Guth C. Pollard J. A. Raine 16 8 0 28 Apr 2023
On the use of Deep Generative Models for Perfect Prognosis Climate Downscaling Jose González-Abad Jorge Baño-Medina Ignacio Heredia Cachá AI4Cl AI4CE DiffM 54 1 0 27 Apr 2023
A mean-field games laboratory for generative modeling Benjamin J. Zhang Markos A. Katsoulakis 104 21 0 26 Apr 2023
Effect of latent space distribution on the segmentation of images with multiple annotations Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf 41 6 0 26 Apr 2023
Single-View Height Estimation with Conditional Diffusion Probabilistic Models Isaac Corley Peyman Najafirad DiffM 48 1 0 26 Apr 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 70 2 0 25 Apr 2023
Exploring Compositional Visual Generation with Latent Classifier Guidance Changhao Shi Haomiao Ni Kaican Li Shaobo Han Mingfu Liang Martin Renqiang Min DiffM 74 9 0 25 Apr 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 84 4 0 21 Apr 2023
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis Angela Castillo María Escobar Guillaume Jeanneret Albert Pumarola Pablo Arbelaez Ali K. Thabet A. Sanakoyeu DiffM VGen 71 30 0 21 Apr 2023
How good are variational autoencoders at transfer learning? Lisa Bonheme M. Grzes OOD DRL 59 2 0 21 Apr 2023
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review Ravid Shwartz-Ziv Yann LeCun SSL 127 75 0 19 Apr 2023
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model Yuming Du Robin Kips Albert Pumarola Sebastian Starke Ali K. Thabet A. Sanakoyeu VGen DiffM 94 100 0 17 Apr 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola Bibiane Schönlieb Xiaoqun Zhang AI4CE 69 4 0 17 Apr 2023
Compositional Probabilistic and Causal Inference using Tractable Circuit Models Benjie Wang Marta Kwiatkowska TPM 66 8 0 17 Apr 2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion Linhao Luo Yuan-Fang Li Gholamreza Haffari Shirui Pan BDL 80 31 0 17 Apr 2023
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation Yunqing Zhao Chao Du Milad Abdollahzadeh Tianyu Pang Min Lin Shuicheng Yan Ngai-Man Cheung 103 21 0 15 Apr 2023
Semi-Equivariant Conditional Normalizing Flows Eyal Rozenberg Daniel Freedman 64 0 0 13 Apr 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning Enze Xie Lewei Yao Han Shi Zhili Liu Daquan Zhou Zhaoqiang Liu Jiawei Li Zhenguo Li 74 81 0 13 Apr 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders G. Bredell Kyriakos Flouris K. Chaitanya Ertunc Erdil E. Konukoglu 75 25 0 12 Apr 2023
InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions Hanming Liang Wenqian Zhang Wenxu Li Jingyi Yu Lan Xu DiffM VGen 103 110 0 12 Apr 2023
Learned multiphysics inversion with differentiable programming and machine learning M. Louboutin Ziyi Yin Rafael Orozco Thomas J. Grady Ali Siahkoohi G. Rizzuti Philipp A. Witte O. Møyner Gerard Gorman Felix J. Herrmann AI4CE 59 11 0 12 Apr 2023
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box Ryan Giordano Martin Ingram Tamara Broderick 126 13 0 11 Apr 2023
Generative Modeling via Hierarchical Tensor Sketching Yifan Peng Yian Chen E. Stoudenmire Y. Khoo 63 15 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 184 163 0 11 Apr 2023