Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
Full-waveform earthquake source inversion using simulation-based inference A. A. Saoulis Davide Piras A. Spurio Mancini B. Joachimi A. M. G. Ferreira 40 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 28 0 0 19 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 33 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 41 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 21 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 87 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 28 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 51 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 28 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 41 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 16 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 46 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 33 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 74 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
Aligning Human Motion Generation with Human Perceptions Haoru Wang Wentao Zhu Luyi Miao Yishu Xu Feng Gao Qi Tian Yizhou Wang EGVM 68 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 35 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 51 12 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
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 25 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 83 7 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 43 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 24 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
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 36 8 0 03 May 2024
A deep causal inference model for fully-interpretable travel behaviour analysis K. Kamal Bilal Farooq 42 0 0 02 May 2024
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue L. Pang Bo An Haipeng Chen Sanjay Chawla 41 3 0 02 May 2024
Deep generative modelling of canonical ensemble with differentiable thermal properties Shuo-Hui Li Yao-Wen Zhang Ding Pan DRL SyDa 36 1 0 29 Apr 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 42 3 0 29 Apr 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 38 0 0 25 Apr 2024
VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving Zero-Shot Voice Editing Philip Anastassiou Zhenyu Tang Kainan Peng Dongya Jia Jiaxin Li Ming Tu Yuping Wang Yuxuan Wang Mingbo Ma 42 4 0 10 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 54 5 0 08 Apr 2024
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators Shenghai Yuan Jinfa Huang Yujun Shi Yongqi Xu Ruijie Zhu Bin Lin Xinhua Cheng Li-xin Yuan Jiebo Luo VGen 81 33 0 07 Apr 2024
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression Tomoya Wakayama BDL 57 0 0 06 Apr 2024