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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,268 papers shown

Title
Efficient Neural Network Encoding for 3D Color Lookup Tables Vahid Zehtab David B. Lindell Marcus A. Brubaker Michael S. Brown 3DV VOS 135 0 0 19 Dec 2024
Dataset Augmentation by Mixing Visual Concepts Abdullah Al Rahat Hemanth Venkateswara DiffM 116 0 0 19 Dec 2024
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference Sebastian Salazar Michal Kucer Yixin Wang Emily Casleton David Blei DiffM 147 0 0 17 Dec 2024
EquiFlow: Equivariant Conditional Flow Matching with Optimal Transport for 3D Molecular Conformation Prediction Qingwen Tian Yuxin Xu Yixuan Yang Zhen Wang Ziqi Liu Pengju Yan Xiaolin Li 116 1 0 15 Dec 2024
Diffusion Model from Scratch Wang Zhen Dong Yunyun DiffM 106 0 0 14 Dec 2024
The Art of Deception: Color Visual Illusions and Diffusion Models Alex Gomez-Villa Kai Wang Alejandro C. Parraga Bartlomiej Twardowski Jesús Malo Javier Vázquez-Corral Joost van de Weijer DiffM 130 3 0 13 Dec 2024
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference Sam Griesemer Defu Cao Zijun Cui Carolina Osorio Yang Liu 125 3 0 07 Dec 2024
Distribution-Free Calibration of Statistical Confidence Sets Luben M. C. Cabezas Guilherme P. Soares Thiago Rodrigo Ramos R. Stern Rafael Izbicki 144 1 0 28 Nov 2024
DECODE: Domain-aware Continual Domain Expansion for Motion Prediction Boqi Li Haojie Zhu Henry X. Liu 125 1 0 26 Nov 2024
Towards Maximum Likelihood Training for Transducer-based Streaming Speech Recognition Hyeonseung Lee J. Yoon Sungsoo Kim N. Kim 166 0 0 26 Nov 2024
Multi-Resolution Generative Modeling of Human Motion from Limited Data David Eduardo Moreno-Villamarín Anna Hilsmann Peter Eisert DiffM 3DH 127 0 0 25 Nov 2024
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 159 2 0 25 Nov 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 290 1 0 25 Nov 2024
Deep Sparse Latent Feature Models for Knowledge Graph Completion Haotian Li Rui Zhang Lingzhi Wang Bin Yu Yuanbo Wang Yuliang Wei Kai Wang Richard Y. D. Xu Bailing Wang BDL 141 0 0 24 Nov 2024
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks Benjamin Cox Santiago Segarra Victor Elvira 154 0 0 23 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 205 1 0 22 Nov 2024
Variational Autoencoders for Efficient Simulation-Based Inference Mayank Nautiyal Andrey Shternshis Andreas Hellander Prashant Singh 154 0 0 21 Nov 2024
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Yueyang Shen Agus Sudjianto Arun Prakash R A. Bhattacharyya Maorong Rao Yaqun Wang J. Vaughan Nengfeng Zhou 438 1 0 17 Nov 2024
Conformation Generation using Transformer Flows Sohil Shah V. Koltun MedIm AI4CE 63 0 0 16 Nov 2024
Wavehax: Aliasing-Free Neural Waveform Synthesis Based on 2D Convolution and Harmonic Prior for Reliable Complex Spectrogram Estimation Reo Yoneyama Atsushi Miyashita Ryuichi Yamamoto Tomoki Toda 70 2 0 11 Nov 2024
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 72 5 0 09 Nov 2024
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation Achintya Gopal 39 0 0 08 Nov 2024
Autoregressive Models in Vision: A Survey Jing Xiong Gongye Liu Lun Huang Chengyue Wu Taiqiang Wu ... Hao Fei Guillermo Sapiro Jiebo Luo Ping Luo Ngai Wong VGen 191 14 0 08 Nov 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel Mihaela van der Schaar CML 276 5 0 05 Nov 2024
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 118 4 0 05 Nov 2024
Denoising Fisher Training For Neural Implicit Samplers Weijian Luo Wei Deng 78 0 0 03 Nov 2024
Marginal Causal Flows for Validation and Inference Daniel de Vassimon Manela Laura Battaglia Robin J. Evans CML 77 2 0 02 Nov 2024
ReMatching Dynamic Reconstruction Flow Sara Oblak Despoina Paschalidou Sanja Fidler Matan Atzmon 167 0 0 01 Nov 2024
EigenVI: score-based variational inference with orthogonal function expansions Diana Cai Chirag Modi C. Margossian Robert Mansel Gower David M. Blei Lawrence K. Saul BDL 77 7 0 31 Oct 2024
Full-waveform earthquake source inversion using simulation-based inference A. A. Saoulis Davide Piras A. Spurio Mancini B. Joachimi A. M. G. Ferreira 125 0 0 30 Oct 2024
Flow Matching for Posterior Inference with Simulator Feedback Benjamin Holzschuh Nils Thuerey 59 0 0 29 Oct 2024
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi Lei Wang K. Zhou 87 5 0 28 Oct 2024
A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic Imaging Siyuan Dong Zhuotong Cai G. Hangel W. Bogner G. Widhalm ... Amit Mahajan Amin Karbasi J. Onofrey Robin A. de Graaf James S. Duncan DiffM MedIm 85 13 0 25 Oct 2024
Causal Order Discovery based on Monotonic SCMs Ali Izadi Martin Ester 61 0 0 24 Oct 2024
Optical Generative Models Shiqi Chen Yuhang Li Hanlong Chen Aydogan Ozcan VLM 59 1 0 23 Oct 2024
Deep Generative Models for 3D Medical Image Synthesis Paul Friedrich Yannik Frisch P. Cattin 3DV MedIm 92 4 0 23 Oct 2024
Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models Zhezhang Ding Huijing Zhao 70 0 0 21 Oct 2024
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction Han Xu Taoxing Pan Zhiqiang Liu Xiaoxiao Xu Lantao Hu 51 0 0 19 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 112 2 0 19 Oct 2024
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model ZiDong Wang Zeyu Lu Di Huang Cai Zhou Wanli Ouyang and Lei Bai 126 6 0 17 Oct 2024
A theoretical perspective on mode collapse in variational inference Roman Soletskyi Marylou Gabrié Bruno Loureiro DRL 65 5 0 17 Oct 2024
A Survey on Data Synthesis and Augmentation for Large Language Models Ke Wang Jiahui Zhu Minjie Ren Ziqiang Liu Shiwei Li ... Yiming Lei Xiaoyu Wu Qiqi Zhan Qingjie Liu Yunhong Wang SyDa 180 21 0 16 Oct 2024
Hamiltonian bridge: A physics-driven generative framework for targeted pattern control Vishaal Krishnan Sumit Sinha L. Mahadevan AI4CE 70 1 0 16 Oct 2024
Look Ma, no markers: holistic performance capture without the hassle Charlie Hewitt F. Saleh S. Aliakbarian Lohit Petikam Shideh Rezaeifar ... Zafiirah Hosenie T. Cashman Julien P. C. Valentin Darren Cosker T. Baltrušaitis 3DH 74 6 0 15 Oct 2024
Conditional Density Estimation with Histogram Trees Lincen Yang Matthijs van Leeuwen 63 0 0 15 Oct 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning Yuxuan Ren Dihan Zheng Chang-Shu Liu Peiran Jin Yu Shi Lin Huang Jiyan He Shengjie Luo Tao Qin Tie-Yan Liu AI4CE 105 2 0 14 Oct 2024
On Divergence Measures for Training GFlowNets Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 154 3 0 12 Oct 2024
Path-minimizing Latent ODEs for improved extrapolation and inference Matt L. Sampson Peter Melchior BDL 59 0 0 11 Oct 2024
Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo Ilja Klebanov OT 56 0 0 11 Oct 2024
Preferential Normalizing Flows Petrus Mikkola Luigi Acerbi Arto Klami 130 2 0 11 Oct 2024