Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 900 papers shown

Title
Improved DDIM Sampling with Moment Matching Gaussian Mixtures Prasad Gabbur DiffM 30 1 0 08 Nov 2023
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 24 0 0 01 Nov 2023
Normalizing flow-based deep variational Bayesian network for seismic multi-hazards and impacts estimation from InSAR imagery Xuechun Li Paula M. Burgi Wei Ma Hae Young Noh David J. Wald Susu Xu 16 3 0 20 Oct 2023
Canonical normalizing flows for manifold learning Kyriakos Flouris E. Konukoglu DRL 67 7 0 19 Oct 2023
High Dimensional Causal Inference with Variational Backdoor Adjustment Daniel Israel Aditya Grover Mathias Niepert CML 13 0 0 09 Oct 2023
Accelerating optimization over the space of probability measures Shi Chen Wenxuan Wu Yuhang Yao Stephen J. Wright 32 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 37 30 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 39 12 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 39 41 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 31 18 0 03 Oct 2023
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 41 4 0 02 Oct 2023
Reparameterized Variational Rejection Sampling M. Jankowiak Du Phan DRL BDL 24 1 0 26 Sep 2023
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 26 1 0 22 Sep 2023
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces Andrea Angiuli J. Fouque Ruimeng Hu Alan Raydan 37 5 0 19 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 34 2 0 03 Sep 2023
Computing excited states of molecules using normalizing flows Yahya Saleh Álvaro Fernández Corral Emil Vogt Armin Iske J. Küpper A. Yachmenev 38 7 0 31 Aug 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 53 10 0 28 Aug 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jun Liu 78 31 0 27 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 53 0 0 26 Aug 2023
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature Alexander Norcliffe M. Deisenroth 23 3 0 21 Aug 2023
Multi-GradSpeech: Towards Diffusion-based Multi-Speaker Text-to-speech Using Consistent Diffusion Models Heyang Xue Shuai Guo Pengcheng Zhu Mengxiao Bi DiffM 40 1 0 21 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 19 4 0 17 Aug 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 35 1 0 14 Aug 2023
Audio is all in one: speech-driven gesture synthetics using WavLM pre-trained model Fan Zhang Naye Ji Fuxing Gao Siyuan Zhao Zhaohan Wang Shunman Li 32 0 0 11 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 34 6 0 04 Aug 2023
Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS Myeongji Ko Yong-Hoon Choi DiffM 25 1 0 03 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 33 8 0 31 Jul 2023
Human Motion Generation: A Survey Wentao Zhu Xiaoxuan Ma Dongwoo Ro Hai Ci Jinlu Zhang Jiaxin Shi Feng Gao Qi Tian Yizhou Wang VGen 47 53 0 20 Jul 2023
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows Vinayak Gupta Srikanta J. Bedathur AI4TS 32 1 0 13 Jul 2023
PC-Droid: Faster diffusion and improved quality for particle cloud generation Matthew Leigh Debasish Sengupta J. A. Raine Guillaume Quétant T. Golling DiffM 46 14 0 13 Jul 2023
LINFA: a Python library for variational inference with normalizing flow and annealing Yu Wang Emma R. Cobian Jubilee Lee Fang Liu J. Hauenstein Daniele E. Schiavazzi BDL AI4CE 28 0 0 10 Jul 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks Jingwei Zhang Han Shi Jincheng Yu Enze Xie Zhenguo Li DiffM 26 3 0 05 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 40 36 0 27 Jun 2023
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability Xiaolin Fang Caelan Reed Garrett Clemens Eppner Tomás Lozano-Pérez L. Kaelbling Dieter Fox DiffM 35 17 0 22 Jun 2023
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models Chanyue Wu Dong Wang Hanyu Mao Ying Li DiffM 23 38 0 21 Jun 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision A. Tewari Tianwei Yin George Cazenavette Semon Rezchikov J. Tenenbaum F. Durand William T. Freeman Vincent Sitzmann DiffM 54 88 0 20 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 26 1 0 15 Jun 2023
A brief review of contrastive learning applied to astrophysics M. Huertas-Company R. Sarmiento J. Knapen 32 9 0 08 Jun 2023
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning Shuxin Zheng Jiyan He Chang-Shu Liu Yu Shi Ziheng Lu ... Peiran Jin Chi Chen Frank Noé Haiguang Liu Tie-Yan Liu AI4CE 37 41 0 08 Jun 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 30 3 0 07 Jun 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 37 4 0 05 Jun 2023
Lifting Architectural Constraints of Injective Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 36 8 0 02 Jun 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 26 2 0 01 Jun 2023
Neuro-Causal Factor Analysis Alex Markham Ming Liu Bryon Aragam Liam Solus CML 30 3 0 31 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 48 7 0 26 May 2023
FineMorphs: Affine-diffeomorphic sequences for regression Michele Lohr L. Younes 29 0 0 26 May 2023
Kernel Density Matrices for Probabilistic Deep Learning Fabio A. González Raúl Ramos-Pollán Joseph A. Gallego-Mejia 16 2 0 26 May 2023
Error Bounds for Flow Matching Methods Joe Benton George Deligiannidis Arnaud Doucet DiffM 35 32 0 26 May 2023
Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis Seong-Hyun Park Bohyung Kim Tae-Hyun Oh 50 1 0 26 May 2023
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification Nuojin Cheng Osman Asif Malik Subhayan De Stephen Becker Alireza Doostan 29 9 0 25 May 2023