Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
Recent Advances in Medical Imaging Segmentation: A Survey Fares Bougourzi Abdenour Hadid OOD 44 0 0 14 May 2025
ConDiSim: Conditional Diffusion Models for Simulation Based Inference Mayank Nautiyal A. Hellander Prashant Singh DiffM 32 0 0 13 May 2025
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder Bowen Zhang Congchao Guo Geng Yang Hang Yu Haozhe Zhang ... Yichen Xiao Yiying Zhou Yuyao Zhang Yuan Lu Yucen He 26 0 0 12 May 2025
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era Nima Dehghani AI4CE 32 0 0 12 May 2025
MAGE:A Multi-stage Avatar Generator with Sparse Observations Fangyu Du Yang Yang Xuehao Gao Hongye Hou VGen 26 0 0 09 May 2025
Generating Reliable Synthetic Clinical Trial Data: The Role of Hyperparameter Optimization and Domain Constraints Waldemar Hahn Jan-Niklas Eckardt Christoph Röllig Martin Sedlmayr J. Middeke M. Wolfien 40 0 0 08 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations Vincent Souveton Sébastien Terrana 41 0 0 07 May 2025
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting Shai Feldman Stephen Bates Yaniv Romano 31 0 0 07 May 2025
Real-Time Person Image Synthesis Using a Flow Matching Model Jiwoo Jeong Kirok Kim Wooju Kim Nam-Joon Kim 3DH 72 0 0 06 May 2025
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy Julian P Merkofer D. V. D. Sande A. Bhogal Ruud J. G. van Sloun 29 0 0 06 May 2025
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Pramook Khungurn Pratch Piyawongwisal Sira Sriswadi Supasorn Suwajanakorn 37 0 0 02 May 2025
Learning and Transferring Physical Models through Derivatives Alessandro Trenta Andrea Cossu Davide Bacciu AI4CE 39 0 0 02 May 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 66 0 0 29 Apr 2025
Model uncertainty quantification using feature confidence sets for outcome excursions Junting Ren Armin Schwartzman 60 0 0 28 Apr 2025
Score-Debiased Kernel Density Estimation Elliot L. Epstein Rajat Dwaraknath Thanawat Sornwanee John Winnicki Jerry Weihong Liu 17 0 0 27 Apr 2025
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 88 0 0 24 Apr 2025
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Rahul Vishwakarma Shrey Dharmendra Modi Vishwanath Seshagiri 75 0 0 23 Apr 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee Jinyoung Park Jaewon Chu Minseo Yoon H. Kim BDL 38 1 0 21 Apr 2025
Spectral Dictionary Learning for Generative Image Modeling Andrew Kiruluta DiffM 83 1 0 21 Apr 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J. Havens Benjamin Kurt Miller Bing Yan Carles Domingo-Enrich Anuroop Sriram ... Brandon Amos Brian Karrer Xiang Fu Guan-Horng Liu Ricky T. Q. Chen DiffM 50 0 0 16 Apr 2025
Improving the evaluation of samplers on multi-modal targets Louis Grenioux Maxence Noble Marylou Gabrié 146 0 0 11 Apr 2025
Gaussian Mixture Flow Matching Models Hansheng Chen Kai Zhang Hao Tan Zexiang Xu Fujun Luan Leonidas J. Guibas Gordon Wetzstein Sai Bi DiffM 63 0 0 07 Apr 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion Rana Muhammad Shahroz Khan Dongwen Tang Pingzhi Li Kai Wang Tianlong Chen AI4CE 175 0 0 31 Mar 2025
ARFlow: Human Action-Reaction Flow Matching with Physical Guidance Wentao Jiang Jingya Wang Haotao Lu Kaiyang Ji Baoxiong Jia Siyuan Huang Ye-ling Shi 44 0 0 21 Mar 2025
Multilevel Generative Samplers for Investigating Critical Phenomena Ankur Singha E. Cellini K. Nicoli K. Jansen Stefan Kühn Shinichi Nakajima 64 1 0 11 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Jiaming Song Linqi Zhou DiffM 71 0 0 10 Mar 2025
Generative Artificial Intelligence in Robotic Manipulation: A Survey Kun Zhang Peng Yun Jun Cen Junhao Cai DiDi Zhu ... Qifeng Chen Jia Pan Wei Zhang Bo Yang Hua Chen 59 1 0 05 Mar 2025
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models Vu Tuan Truong Long Bao Le DiffM AAML 234 0 0 26 Feb 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Towards Hierarchical Rectified Flow Yichi Zhang Yici Yan A. Schwing Zhizhen Zhao 55 1 0 24 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui J.N. Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 119 8 0 20 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng Xinsong Zhang 46 0 0 17 Feb 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Krithika S. Iyer Mokshagna Sai Teja Karanam Shireen Y. Elhabian 64 0 0 11 Feb 2025
An inpainting approach to manipulate asymmetry in pre-operative breast images Helena Montenegro M. Cardoso J. Cardoso MedIm 49 0 0 08 Feb 2025
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation George Whittle Juliusz Ziomek Jacob Rawling Michael A. Osborne 97 2 0 04 Feb 2025
Trustworthy Evaluation of Generative AI Models Zijun Gao Yan Sun 110 0 0 31 Jan 2025
One Model to Forecast Them All and in Entity Distributions Bind Them Kutay Bölat Simon Tindemans AI4TS 58 0 0 28 Jan 2025
CGI: Identifying Conditional Generative Models with Example Images Zhi-Hua Zhou Hao-Zhe Tan Peng-Xiao Song Lan-Zhe Guo DiffM 42 0 0 23 Jan 2025
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 113 0 0 20 Jan 2025
Conditional Diffusion Model for Electrical Impedance Tomography Duanpeng Shi Wendong Zheng Di Guo Huaping Liu DiffM MedIm 192 2 0 10 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 64 0 0 03 Jan 2025
BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization Jiayi Chen Yubin Ke H. Wang 89 5 0 21 Dec 2024
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference Sebastian Salazar Michal Kucer Yixin Wang Emily Casleton David Blei DiffM 93 0 0 17 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 91 1 0 25 Nov 2024
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks Benjamin Cox Santiago Segarra Victor Elvira 81 0 0 23 Nov 2024
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 36 4 0 09 Nov 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 56 2 0 05 Nov 2024
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 45 1 0 05 Nov 2024
ReMatching Dynamic Reconstruction Flow Sara Oblak Despoina Paschalidou Sanja Fidler Matan Atzmon 43 0 0 01 Nov 2024