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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
Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations Wei Zhao Steffen Eger 70 1 0 31 Jan 2022
Continual Repeated Annealed Flow Transport Monte Carlo A. G. Matthews Michael Arbel Danilo Jimenez Rezende Arnaud Doucet OT 123 53 0 31 Jan 2022
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 272 159 0 28 Jan 2022
Wassersplines for Neural Vector Field--Controlled Animation Paul Zhang Dmitriy Smirnov Justin Solomon 68 4 0 28 Jan 2022
Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport T. L. J. Ng A. Zammit‐Mangion 75 3 0 24 Jan 2022
Disentangling Style and Speaker Attributes for TTS Style Transfer Xiaochun An Frank Soong Lei Xie 155 18 0 24 Jan 2022
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective Ryan K. Tan Yang Liu Lei Xie 77 2 0 21 Jan 2022
Stochastic normalizing flows as non-equilibrium transformations M. Caselle E. Cellini A. Nada M. Panero 97 35 0 21 Jan 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks Chenyu Sun Hangwei Qian Chunyan Miao 73 10 0 20 Jan 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 51 15 0 20 Jan 2022
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling Nima Rafiee Rahil Gholamipoorfard Nikolas Adaloglou Simon Jaxy Julius Ramakers M. Kollmann OODD 34 8 0 17 Jan 2022
Fair Group-Shared Representations with Normalizing Flows Mattia Cerrato M. Koppel A. Segner Stefan Kramer FedML FaML OOD 49 5 0 17 Jan 2022
Evaluating Bayesian Model Visualisations Sebastian Stein J. Williamson 16 0 0 10 Jan 2022
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand Arec Jamgochian Di Wu Kunal Menda Soyeon Jung Mykel J. Kochenderfer AI4TS 53 2 0 08 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 131 121 0 02 Jan 2022
Semi-supervised Salient Object Detection with Effective Confidence Estimation Jiawei Liu Jing Zhang Nick Barnes 76 5 0 28 Dec 2021
Solving time dependent Fokker-Planck equations via temporal normalizing flow Xiaodong Feng Li Zeng Tao Zhou AI4CE 88 25 0 28 Dec 2021
Multimodal Image Synthesis and Editing: The Generative AI Era Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Shijian Lu Lingjie Liu Adam Kortylewski Christian Theobalt Eric Xing EGVM 200 51 0 27 Dec 2021
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives Hideyuki Tachibana Mocho Go Muneyoshi Inahara Yotaro Katayama Yotaro Watanabe DiffM 78 3 0 26 Dec 2021
Surrogate Likelihoods for Variational Annealed Importance Sampling M. Jankowiak Du Phan BDL 87 13 0 22 Dec 2021
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models Tijin Yan Tong Zhou Yufeng Zhan Yuanqing Xia DiffM 59 8 0 20 Dec 2021
Information Field Theory and Artificial Intelligence T. Ensslin 66 4 0 19 Dec 2021
Heavy-tailed denoising score matching J. Deasy Nikola Simidjievski Pietro Lio DiffM 81 16 0 17 Dec 2021
Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye A. Bors CLL 85 10 0 15 Dec 2021
Deep Generative Models for Vehicle Speed Trajectories F. Behnia D. Karbowski Vadim Sokolov 86 1 0 14 Dec 2021
Graph network for learning bi-directional physics Sakthi Kumar Arul Prakash Conrad S. Tucker PINN AI4CE 64 2 0 13 Dec 2021
ELF: Exact-Lipschitz Based Universal Density Approximator Flow Achintya Gopal 54 1 0 13 Dec 2021
Step-unrolled Denoising Autoencoders for Text Generation Nikolay Savinov Junyoung Chung Mikolaj Binkowski Erich Elsen Aaron van den Oord DiffM 134 120 0 13 Dec 2021
Autoregressive Quantile Flows for Predictive Uncertainty Estimation Phillip Si Allan Bishop Volodymyr Kuleshov BDL UQCV AI4TS 199 20 0 09 Dec 2021
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 93 117 0 07 Dec 2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 95 72 0 06 Dec 2021
Deep Efficient Continuous Manifold Learning for Time Series Modeling Seungwoo Jeong Wonjun Ko A. Mulyadi Heung-Il Suk AI4TS 92 7 0 03 Dec 2021
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features Maliha Hossain Balasubramanya T. Nadiga O. Korobkin M. Klasky J. L. Schei J. Burby Michael T. McCann T. Wilcox Soumi De Charles A. Bouman AI4CE MedIm 65 7 0 02 Dec 2021
HMC with Normalizing Flows Sam Foreman T. Izubuchi Luchang Jin Xiao-Yong Jin James C. Osborn A. Tomiya 61 18 0 02 Dec 2021
Counterfactual Explanations via Latent Space Projection and Interpolation Brian Barr Matthew R. Harrington Samuel Sharpe Capital One BDL 70 10 0 02 Dec 2021
Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression Akifumi Okuno Masaaki Imaizumi 52 1 0 01 Dec 2021
The Exponentially Tilted Gaussian Prior for Variational Autoencoders Griffin Floto Stefan Kremer Mihai Nica DRL 42 1 0 30 Nov 2021
Molecular Attributes Transfer from Non-Parallel Data Shuangjia Zheng Ying Song Zhang Pan Chengtao Li Le Song Yuedong Yang 39 0 0 30 Nov 2021
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 122 119 0 30 Nov 2021
Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees Tristan Milne Étienne Bilocq A. Nachman 39 3 0 30 Nov 2021
Comparing Machine Learning and Interpolation Methods for Loop-Level Calculations Ibrahim Chahrour J. Wells 93 12 0 29 Nov 2021
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension Yuling Jiao Dingwei Li Min Liu Xiliang Lu Yuanyuan Yang 112 2 0 29 Nov 2021
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment Robert Hu Dino Sejdinovic R. Evans CML 70 2 0 25 Nov 2021
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 76 3 0 25 Nov 2021
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data Vaidotas Šimkus Benjamin Rhodes Michael U. Gutmann 60 9 0 25 Nov 2021
Group equivariant neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Michael Deistler Bernhard Schölkopf Jakob H. Macke BDL 104 31 0 25 Nov 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 85 51 0 25 Nov 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 107 25 0 24 Nov 2021
A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence Taketo Akama BDL 59 3 0 23 Nov 2021
Bootstrap Your Flow Laurence Illing Midgley Vincent Stimper G. Simm José Miguel Hernández-Lobato 73 5 0 22 Nov 2021