Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 900 papers shown

Title
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference Sebastian Salazar Michal Kucer Yixin Wang Emily Casleton David Blei DiffM 98 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 93 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
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 76 1 0 22 Nov 2024
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 41 4 0 09 Nov 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 58 3 0 05 Nov 2024
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 55 2 0 05 Nov 2024
ReMatching Dynamic Reconstruction Flow Sara Oblak Despoina Paschalidou Sanja Fidler Matan Atzmon 43 0 0 01 Nov 2024
Full-waveform earthquake source inversion using simulation-based inference A. A. Saoulis Davide Piras A. Spurio Mancini B. Joachimi A. M. G. Ferreira 45 0 0 30 Oct 2024
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi Lei Wang K. Zhou 26 4 0 28 Oct 2024
Improving Pronunciation and Accent Conversion through Knowledge Distillation And Synthetic Ground-Truth from Native TTS T. Nguyen Seymanur Akti Ngoc-Quan Pham A. Waibel 30 0 0 19 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 36 0 0 07 Oct 2024
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold Hoang Phuc Hau Luu Hanlin Yu Bernardo Williams Marcelo Hartmann Arto Klami DRL 46 0 0 03 Oct 2024
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective Zeyu Gan Yong Liu SyDa 46 1 0 02 Oct 2024
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 47 0 0 01 Oct 2024
Harnessing and modulating chaos to sample from neural generative models Rishidev Chaudhuri Vivek Handebagh 26 0 0 26 Sep 2024
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba Binyamin Perets Shie Mannor 25 0 0 26 Sep 2024
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems Mo Zhou Stanley Osher Wuchen Li 92 3 0 24 Sep 2024
DPI-TTS: Directional Patch Interaction for Fast-Converging and Style Temporal Modeling in Text-to-Speech Xin Qi Ruibo Fu Zhengqi Wen Tao Wang Chunyu Qiang ... Xiaopeng Wang Yuankun Xie Yukun Liu Xuefei Liu Guanjun Li DiffM 30 0 0 18 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling Vivek Oommen Aniruddha Bora Zhen Zhang George Karniadakis DiffM 53 14 0 13 Sep 2024
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies Arnaud Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 70 0 0 10 Sep 2024
Improving Tree Probability Estimation with Stochastic Optimization and Variance Reduction Tianyu Xie Musu Yuan Minghua Deng Cheng Zhang 34 0 0 09 Sep 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks Farah Alsafadi Aidan Furlong Xu Wu UQCV AI4CE 49 3 0 09 Sep 2024
Atlas Gaussians Diffusion for 3D Generation Haitao Yang Yuan Dong Hanwen Jiang Dejia Xu Georgios Pavlakos Qixing Huang 3DGS 81 3 0 23 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 56 17 0 06 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 36 0 0 31 Jul 2024
Monocular Human-Object Reconstruction in the Wild Chaofan Huo Ye-ling Shi Jingya Wang 3DH 48 1 0 30 Jul 2024
Learning Feature-Preserving Portrait Editing from Generated Pairs Bowei Chen Tiancheng Zhi Peihao Zhu Shen Sang Jing Liu Linjie Luo DiffM 35 0 0 29 Jul 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 79 7 0 28 Jul 2024
Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validation Yichun Ye He Zhang Ye Tian Jian Sun 49 0 0 10 Jul 2024
JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions Kenta Mukoya Erica Weng Rohan Choudhury Kris Kitani 42 0 0 05 Jul 2024
Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis Cong-Thanh Do Shuhei Imai R. Doddipatla Thomas Hain 28 2 0 04 Jul 2024
Aligning Human Motion Generation with Human Perceptions Haoru Wang Wentao Zhu Luyi Miao Yishu Xu Feng Gao Qi Tian Yizhou Wang EGVM 73 1 0 02 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 60 0 0 02 Jul 2024
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges Mahmoud Ibrahim Yasmina Al Khalil S. Amirrajab Chang Sun M. Breeuwer J. Pluim Bart Elen Gokhan Ertaylan Michel Dumontier SyDa MedIm 38 7 0 27 Jun 2024
Torchtree: flexible phylogenetic model development and inference using PyTorch Mathieu Fourment Matthew Macaulay Christiaan J. Swanepoel Xiang Ji M. Suchard Frederick A Matsen IV BDL 29 0 0 26 Jun 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 46 0 0 21 Jun 2024
Transferable Boltzmann Generators Leon Klein Frank Noé 56 13 0 20 Jun 2024
FlowAVSE: Efficient Audio-Visual Speech Enhancement with Conditional Flow Matching Chaeyoung Jung Suyeon Lee Ji-Hoon Kim Joon Son Chung DiffM 47 4 0 13 Jun 2024
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models Lucas Berry Axel Brando David Meger 32 6 0 05 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 70 26 0 31 May 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows Thorsten Buss F. Gaede Gregor Kasieczka Claudius Krause David Shih AI4CE 36 6 0 30 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 88 8 0 29 May 2024
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms L. Bogensperger Dominik Narnhofer Alexander Falk Konrad Schindler Thomas Pock MedIm 54 3 0 28 May 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows Patryk Wielopolski Oleksii Furman Jerzy Stefanowski Maciej Ziȩba 46 2 0 27 May 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 40 0 0 27 May 2024
Bayesian RG Flow in Neural Network Field Theories Jessica N. Howard Marc S. Klinger Anindita Maiti A. G. Stapleton 68 1 0 27 May 2024
A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces Moshe Shienman Ohad Levy-Or Michael Kaess Vadim Indelman 26 0 0 26 May 2024
On Kernel-based Variational Autoencoder Tian Qin Wei-Min Huang DRL BDL 66 1 0 21 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 51 0 0 10 May 2024