Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 49 113 0 07 Dec 2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 49 72 0 06 Dec 2021
Deep Efficient Continuous Manifold Learning for Time Series Modeling Seungwoo Jeong Wonjun Ko A. Mulyadi Heung-Il Suk AI4TS 34 7 0 03 Dec 2021
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features Maliha Hossain Balasubramanya T. Nadiga O. Korobkin M. Klasky J. L. Schei J. Burby Michael T. McCann T. Wilcox Soumi De Charles A. Bouman AI4CE MedIm 19 7 0 02 Dec 2021
HMC with Normalizing Flows Sam Foreman T. Izubuchi Luchang Jin Xiao-Yong Jin James C. Osborn A. Tomiya 21 18 0 02 Dec 2021
Counterfactual Explanations via Latent Space Projection and Interpolation Brian Barr Matthew R. Harrington Samuel Sharpe Capital One BDL 38 10 0 02 Dec 2021
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 18 101 0 30 Nov 2021
Comparing Machine Learning and Interpolation Methods for Loop-Level Calculations Ibrahim Chahrour J. Wells 18 12 0 29 Nov 2021
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 34 3 0 25 Nov 2021
Group equivariant neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Michael Deistler Bernhard Schölkopf Jakob H. Macke BDL 33 31 0 25 Nov 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 44 50 0 25 Nov 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 32 22 0 24 Nov 2021
A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence Taketo Akama BDL 30 3 0 23 Nov 2021
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel Yindong Chen Yiwei Wang Lulu Kang Chun Liu 26 1 0 21 Nov 2021
IKFlow: Generating Diverse Inverse Kinematics Solutions Barrett Ames Jeremy Morgan George Konidaris 14 34 0 17 Nov 2021
Continual Learning via Local Module Composition O. Ostapenko Pau Rodríguez López Massimo Caccia Laurent Charlin KELM CLL 48 66 0 15 Nov 2021
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution Andreas Lugmayr Martin Danelljan Feng Yu Luc Van Gool Radu Timofte 22 14 0 05 Nov 2021
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling Greg Ver Steeg Aram Galstyan 41 14 0 03 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 29 58 0 03 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 33 93 0 02 Nov 2021
PIE: Pseudo-Invertible Encoder J. Beitler Ivan Sosnovik A. Smeulders 11 10 0 31 Oct 2021
Resampling Base Distributions of Normalizing Flows Vincent Stimper Bernhard Schölkopf José Miguel Hernández-Lobato BDL 30 32 0 29 Oct 2021
Probabilistic Autoencoder using Fisher Information J. Zacherl Philipp Frank T. Ensslin EgoV AI4CE 33 2 0 28 Oct 2021
Validation Methods for Energy Time Series Scenarios from Deep Generative Models Eike Cramer L. R. Gorjão Alexander Mitsos B. Schäfer D. Witthaut Manuel Dahmen 21 16 0 27 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 46 81 0 26 Oct 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera Jacek Tabor A. Nowak Andrzej Bedychaj Massimiliano Patacchiola Tomasz Trzciñski Przemysław Spurek Maciej Ziȩba 23 19 0 26 Oct 2021
Generative Networks for Precision Enthusiasts A. Butter Theo Heimel Sander Hummerich Tobias Krebs Tilman Plehn Armand Rousselot Sophia Vent AI4CE 21 59 0 22 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 193 881 0 21 Oct 2021
Learning the Koopman Eigendecomposition: A Diffeomorphic Approach Petar Bevanda Johannes Kirmayr Stefan Sosnowski Sandra Hirche 40 9 0 15 Oct 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 35 87 0 14 Oct 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics Katherine Fraser S. Homiller Rashmish K. Mishra B. Ostdiek M. Schwartz DRL 34 43 0 13 Oct 2021
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation Shidi Li Miaomiao Liu Christian J. Walder 3DPC 54 28 0 13 Oct 2021
A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful Joeri Hermans Arnaud Delaunoy François Rozet Antoine Wehenkel Volodimir Begy Gilles Louppe 64 38 0 13 Oct 2021
Exchangeability-Aware Sum-Product Networks Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt TPM 11 2 0 11 Oct 2021
Deep Bayesian inference for seismic imaging with tasks Ali Siahkoohi G. Rizzuti Felix J. Herrmann BDL UQCV 40 21 0 10 Oct 2021
The Neural Testbed: Evaluating Joint Predictions Ian Osband Zheng Wen S. Asghari Vikranth Dwaracherla Botao Hao M. Ibrahimi Dieterich Lawson Xiuyuan Lu Brendan O'Donoghue Benjamin Van Roy UQCV 34 21 0 09 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 22 11 0 08 Oct 2021
PRRS Outbreak Prediction via Deep Switching Auto-Regressive Factorization Modeling M. Shamsabardeh Bahar Azari Beatriz Martínez-López 29 1 0 07 Oct 2021
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection Marco Rudolph Tom Wehrbein Bodo Rosenhahn Bastian Wandt UQCV 81 208 0 06 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 72 625 0 06 Oct 2021
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation Aditya Sanghi Hang Chu Joseph G. Lambourne Ye Wang Chin-Yi Cheng Marco Fumero Kamal Rahimi Malekshan CLIP 60 289 0 06 Oct 2021
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild A. Sengupta Ignas Budvytis R. Cipolla 3DH 36 58 0 03 Oct 2021
Calibrated Multiple-Output Quantile Regression with Representation Learning Shai Feldman Stephen Bates Yaniv Romano 53 33 0 02 Oct 2021
Stochastic Contrastive Learning Jason Ramapuram Dan Busbridge Xavier Suau Russ Webb BDL SSL 44 3 0 01 Oct 2021
A Review of Text Style Transfer using Deep Learning Martina Toshevska Sonja Gievska CLIP 48 43 0 30 Sep 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation Karina Zadorozhny P. Thoral Paul Elbers Giovanni Cina OODD OOD 29 12 0 30 Sep 2021
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders Lisa Bonheme M. Grzes DRL 21 6 0 26 Sep 2021
Enriching and Controlling Global Semantics for Text Summarization Thong Nguyen Anh Tuan Luu Truc Lu Tho Quan 35 34 0 22 Sep 2021
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie M. Geist Olivier Pietquin AI4CE 94 35 0 20 Sep 2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis Jing Ren Biao Zhang Bojian Wu Jianqiang Huang Lubin Fan M. Ovsjanikov Peter Wonka 19 19 0 16 Sep 2021