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Sylvester Normalizing Flows for Variational Inference

15 March 2018

Papers citing "Sylvester Normalizing Flows for Variational Inference"

50 / 161 papers shown

Title
Asymptotically exact variational flows via involutive MCMC kernels Zuheng Xu Trevor Campbell 30 0 0 02 Jun 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 70 0 0 06 May 2025
SD-KDE: Score-Debiased Kernel Density Estimation Elliot L. Epstein Rajat Dwaraknath Thanawat Sornwanee John Winnicki Jerry Weihong Liu 41 1 0 27 Apr 2025
Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey Fabrizio Mangione Claudio Savaglio Giancarlo Fortino 64 1 0 10 Apr 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 154 0 0 03 Jan 2025
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo David Nabergoj Erik Štrumbelj BDL TPM 104 0 0 22 Dec 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
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder Sheikh Waqas Akhtar DRL 62 0 0 18 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 184 8 0 08 Apr 2024
PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise Qinglong Meng Chongkun Xia Xueqian Wang 18 1 0 13 Mar 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 150 0 0 09 Feb 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 70 16 0 15 Dec 2023
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism? Robert A. Bridges Vandy J. Tombs Christopher B. Stanley 40 1 0 15 Nov 2023
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 78 0 0 01 Nov 2023
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows Zuheng Xu Trevor Campbell 78 3 0 12 Jul 2023
Conditional Matrix Flows for Gaussian Graphical Models M. Negri F. A. Torres Volker Roth 33 3 0 12 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 129 11 0 02 Jun 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 128 4 0 30 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 89 7 0 26 May 2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data Christiaan Viviers Amaan Valiuddin Peter H. N. de With Fons van der Sommen 86 5 0 01 May 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders G. Bredell Kyriakos Flouris K. Chaitanya Ertunc Erdil E. Konukoglu 75 25 0 12 Apr 2023
Geometric Clifford Algebra Networks David Ruhe Jayesh K. Gupta Steven De Keninck Max Welling Johannes Brandstetter AI4CE 139 37 0 13 Feb 2023
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond Wenchao Du Hu Chen Yan Zhang H. Yang 59 1 0 31 Jan 2023
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study David Ruhe Kaze W. K. Wong M. Cranmer Patrick Forré 63 7 0 15 Nov 2022
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments Abhinav Joshi Naman K. Gupta Jinang Shah Binod Bhattarai Ashutosh Modi Danail Stoyanov OffRL 64 2 0 07 Nov 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan Alex Schwing Yu-Xiong Wang OffRL 70 2 0 18 Oct 2022
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 71 28 0 09 Oct 2022
Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi Yusuke Iwasawa Wataru Kumagai Yutaka Matsuo BDL SyDa 80 2 0 15 Sep 2022
Variational Flow Graphical Model Shaogang Ren Belhal Karimi Dingcheng Li Ping Li 91 4 0 06 Jul 2022
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 98 14 0 17 Jun 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 85 19 0 23 May 2022
Statistical Model Criticism of Variational Auto-Encoders Claartje Barkhof Wilker Aziz DRL 89 3 0 06 Apr 2022
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification Jianxiong Shen Antonio Agudo Francesc Moreno-Noguer Adria Ruiz AI4CE 129 58 0 18 Mar 2022
Principal Manifold Flows Edmond Cunningham Adam D. Cobb Susmit Jha DRL 70 8 0 14 Feb 2022
Bernstein Flows for Flexible Posteriors in Variational Bayes Oliver Durr Stephan Hörling Daniel Dold Ivonne Kovylov Beate Sick BDL 92 4 0 11 Feb 2022
Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis Jaehoon Lee Jihyeon Hyeong Jinsung Jeon Noseong Park Jihoon Cho 60 27 0 08 Feb 2022
Universality of parametric Coupling Flows over parametric diffeomorphisms Junlong Lyu Zhitang Chen Chang Feng Wenjing Cun Shengyu Zhu Yanhui Geng Zhijie Xu Yuxiao Chen 63 3 0 07 Feb 2022
Disentangling Style and Speaker Attributes for TTS Style Transfer Xiaochun An Frank Soong Lei Xie 155 18 0 24 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 117 121 0 02 Jan 2022
ELF: Exact-Lipschitz Based Universal Density Approximator Flow Achintya Gopal 49 1 0 13 Dec 2021
Bootstrap Your Flow Laurence Illing Midgley Vincent Stimper G. Simm José Miguel Hernández-Lobato 60 5 0 22 Nov 2021
Sinusoidal Flow: A Fast Invertible Autoregressive Flow Yumou Wei TPM 35 0 0 26 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 78 77 0 25 Oct 2021
A Dynamical System Perspective for Lipschitz Neural Networks Laurent Meunier Blaise Delattre Alexandre Araujo A. Allauzen 128 56 0 25 Oct 2021
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk OOD 138 31 0 15 Oct 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics Katherine Fraser S. Homiller Rashmish K. Mishra B. Ostdiek M. Schwartz DRL 71 44 0 13 Oct 2021
Modeling Item Response Theory with Stochastic Variational Inference Mike Wu R. Davis B. Domingue Chris Piech Noah D. Goodman CML 66 5 0 26 Aug 2021
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 65 17 0 04 Aug 2021
Sparse approximation of triangular transports. Part II: the infinite dimensional case Jakob Zech Youssef Marzouk 83 19 0 28 Jul 2021
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows Aihua Mao Zihui Du Junhui Hou Yaqi Duan Yong Liu Ying He 3DPC 99 37 0 13 Jul 2021