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
An Introduction to the Calibration of Computer Models Richard D. Wilkinson Christopher W. Lanyon 52 0 0 13 Oct 2023
Enhancing Sample Quality through Minimum Energy Importance Weights Chaofan Huang V. R. Joseph 51 0 0 12 Oct 2023
Controllable Data Generation Via Iterative Data-Property Mutual Mappings Bo Pan Muran Qin Shiyu Wang Yifei Zhang Liang Zhao 74 0 0 11 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 106 7 0 11 Oct 2023
Latent Diffusion Counterfactual Explanations Karim Farid Simon Schrodi Max Argus Thomas Brox DiffM 99 14 0 10 Oct 2023
AnoDODE: Anomaly Detection with Diffusion ODE Xianyao Hu Congming Jin MedIm DiffM 42 2 0 10 Oct 2023
High Dimensional Causal Inference with Variational Backdoor Adjustment Daniel Israel Aditya Grover Guy Van den Broeck CML 61 0 0 09 Oct 2023
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders Gulcin Baykal M. Kandemir Gözde B. Ünal 67 13 0 09 Oct 2023
DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning Longxiang He Li Shen Linrui Zhang Junbo Tan Xueqian Wang OffRL 84 12 0 09 Oct 2023
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations Mozes Jacobs Bingni W. Brunton Steven L. Brunton J. Nathan Kutz Ryan V. Raut 67 10 0 07 Oct 2023
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference Marvin Schmitt Desi R. Ivanova Daniel Habermann Baixu Chen Jie Jiang Stefan T. Radev FedML 90 7 0 06 Oct 2023
Accelerating optimization over the space of probability measures Shi Chen Wenxuan Wu Yuhang Yao Stephen J. Wright 90 5 0 06 Oct 2023
Stochastic interpolants with data-dependent couplings M. S. Albergo Mark Goldstein Nicholas M. Boffi Rajesh Ranganath Eric Vanden-Eijnden OT 109 34 0 05 Oct 2023
Multimarginal generative modeling with stochastic interpolants M. S. Albergo Nicholas M. Boffi Michael Lindsey Eric Vanden-Eijnden 111 10 0 05 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu Y. Zhu Sirui Xie Xiaojian Ma Ruiqi Gao Song-Chun Zhu Ying Nian Wu DiffM 77 13 0 05 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 125 49 0 04 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 109 20 0 03 Oct 2023
Discrete, compositional, and symbolic representations through attractor dynamics Andrew Nam Eric Elmoznino Nikolay Malkin Chen Sun Yoshua Bengio Guillaume Lajoie 98 1 0 03 Oct 2023
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation Roi Benita Michael Elad Joseph Keshet DiffM 115 8 0 02 Oct 2023
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 132 9 0 02 Oct 2023
Improved Variational Bayesian Phylogenetic Inference using Mixtures Oskar Kviman Ricky Molén Jens Lagergren 48 5 0 02 Oct 2023
On the Stability of Iterative Retraining of Generative Models on their own Data Quentin Bertrand A. Bose Alexandre Duplessis Marco Jiralerspong Gauthier Gidel 164 51 0 30 Sep 2023
PixArt- $α$ : Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Junsong Chen Jincheng Yu Chongjian Ge Lewei Yao Enze Xie ... Zhongdao Wang James T. Kwok Ping Luo Huchuan Lu Zhenguo Li DiffM 123 461 0 30 Sep 2023
Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering Linjie Lyu A. Tewari Marc Habermann Shunsuke Saito Michael Zollhöfer Thomas Leimkuhler Christian Theobalt DiffM 68 3 0 30 Sep 2023
MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling Xinwei Zhuang Zixun Huang Wentao Zeng Luisa Caldas 13 1 0 29 Sep 2023
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion E. Buhmann Cedric Ewen D. Faroughy T. Golling Gregor Kasieczka Matthew Leigh Guillaume Quétant J. A. Raine Debajyoti Sengupta David Shih DiffM 105 28 0 29 Sep 2023
A Survey on Deep Learning Techniques for Action Anticipation Zeyun Zhong Manuel Martin Michael Voit Juergen Gall Jürgen Beyerer 116 8 0 29 Sep 2023
Optimal Nonlinearities Improve Generalization Performance of Random Features Samet Demir Zafer Dogan MLT 32 2 0 28 Sep 2023
Bayesian Cramér-Rao Bound Estimation with Score-Based Models Evan Scope Crafts Xianyang Zhang Ye Zhao 18 4 0 28 Sep 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 90 5 0 27 Sep 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 118 0 0 27 Sep 2023
PINF: Continuous Normalizing Flows for Physics-Constrained Deep Learning Feng Liu Faguo Wu Xiao Zhang AI4CE 74 2 0 26 Sep 2023
On quantifying and improving realism of images generated with diffusion Yunzhu Chen Naveed Akhtar Nur Al Hasan Haldar Ajmal Mian 72 4 0 26 Sep 2023
Reparameterized Variational Rejection Sampling M. Jankowiak Du Phan DRL BDL 52 1 0 26 Sep 2023
Noise-in, Bias-out: Balanced and Real-time MoCap Solving G. Albanis N. Zioulis Spyridon Thermos Anargyros Chatzitofis Kostas Kolomvatsos 55 0 0 25 Sep 2023
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation Tsiry Mayet Simon Bernard Clément Chatelain Romain Hérault DiffM 91 0 0 25 Sep 2023
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models Yangming Li B. V. Breugel M. Schaar DiffM 59 3 0 25 Sep 2023
Adaptation of the super resolution SOTA for Art Restoration in camera capture images Sandeep Nagar Abhinaba Bala Sai Amrit Patnaik 59 1 0 24 Sep 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 130 3 0 22 Sep 2023
How to train your VAE Mariano Rivera DRL 37 1 0 22 Sep 2023
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 63 2 0 22 Sep 2023
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes Jian Xu Shian Du Junmei Yang Qianli Ma Delu Zeng BDL 50 1 0 22 Sep 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition Wentao Bao Qi Yu Yu Kong BDL 74 2 0 19 Sep 2023
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces Andrea Angiuli J. Fouque Ruimeng Hu Alan Raydan 116 5 0 19 Sep 2023
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder Maximilian Coblenz Oliver Grothe Fabian Kächele SyDa DRL 76 1 0 18 Sep 2023
Looking through the past: better knowledge retention for generative replay in continual learning Valeriya Khan Sebastian Cygert Kamil Deja Tomasz Trzciñski Bartlomiej Twardowski 75 8 0 18 Sep 2023
Spoofing attack augmentation: can differently-trained attack models improve generalisation? W. Ge Xin Wang Junichi Yamagishi Massimiliano Todisco Nicholas W. D. Evans AAML 45 10 0 18 Sep 2023
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination Minkyung Kim Jongmin Yu Junsik Kim Tae-Hyun Oh Jun Kyun Choi OOD 68 11 0 18 Sep 2023
Speech Synthesis By Unrolling Diffusion Process using Neural Network Layers Peter Ochieng DiffM 56 0 0 18 Sep 2023
Simulation-based Inference for Exoplanet Atmospheric Retrieval: Insights from winning the Ariel Data Challenge 2023 using Normalizing Flows Mayeul Aubin C. Cuesta-Lázaro Ethan Tregidga Javier Viana C. Garraffo ... R. Hargreaves Vladimir Yu. Makhnev J. Drake D. Finkbeiner P. Cargile 108 5 0 17 Sep 2023