Neural Spline Flows

10 June 2019

Papers citing "Neural Spline Flows"

50 / 184 papers shown

Title
Training Normalizing Flows from Dependent Data Matthias Kirchler C. Lippert Marius Kloft TPM 26 2 0 29 Sep 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 107 97 0 26 Sep 2022
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks Zirui Zang Hongrui Zheng Johannes Betz Rahul Mangharam 40 6 0 24 Sep 2022
Asymptotic Statistical Analysis of $f$ -divergence GAN Xinwei Shen Kani Chen Tong Zhang 33 2 0 14 Sep 2022
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference Patrick W Cannon Daniel Ward Sebastian M. Schmon 32 34 0 05 Sep 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 36 12 0 23 Aug 2022
Neural PCA for Flow-Based Representation Learning Shen Li Bryan Hooi DRL 13 1 0 23 Aug 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 45 4 0 03 Aug 2022
Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 38 77 0 03 Aug 2022
Quantum Adaptive Fourier Features for Neural Density Estimation Joseph A. Gallego-Mejia Fabio A. González 18 9 0 01 Aug 2022
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 44 39 0 06 Jul 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models Conor F. Hayes T. Verstraeten D. Roijers Enda Howley Patrick Mannion 29 3 0 01 Jul 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood Piotr Tempczyk Rafał Michaluk Łukasz Garncarek Przemysław Spurek Jacek Tabor Adam Goliñski 35 26 0 29 Jun 2022
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations Jongwan Kim Dongjin Lee Byunggook Na Seongsik Park Jeonghee Jo Sung-Hoon Yoon 42 0 0 15 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Qiang Ye Yuanzhe Xi TPM 36 4 0 05 Jun 2022
Modeling sRGB Camera Noise with Normalizing Flows Shayan Kousha Ali Maleky M. S. Brown Marcus A. Brubaker 29 27 0 02 Jun 2022
Flowification: Everything is a Normalizing Flow Bálint Máté Samuel Klein T. Golling Franccois Fleuret 23 3 0 30 May 2022
IL-flOw: Imitation Learning from Observation using Normalizing Flows Wei-Di Chang J. A. G. Higuera Scott Fujimoto David Meger Gregory Dudek 38 9 0 19 May 2022
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence Andrew McDonald Pang-Ning Tan Lifeng Luo 21 9 0 02 May 2022
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows M. Arpogaus Marcus Voss Beate Sick Mark Nigge-Uricher Oliver Durr 33 16 0 29 Apr 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 32 7 0 19 Mar 2022
Practical Conditional Neural Processes Via Tractable Dependent Predictions Stratis Markou James Requeima W. Bruinsma Anna Vaughan Richard Turner UQCV AI4CE 33 24 0 16 Mar 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen Brandon Amos Maximilian Nickel 32 10 0 14 Mar 2022
Variational methods for simulation-based inference Manuel Glöckler Michael Deistler Jakob H. Macke 32 47 0 08 Mar 2022
Risk-Neutral Market Simulation Magnus Wiese M. Phillip 28 2 0 28 Feb 2022
Machine Learning Trivializing Maps: A First Step Towards Understanding How Flow-Based Samplers Scale Up L. Debbio Joe Marsh Rossney Michael Wilson 16 6 0 31 Dec 2021
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows M. Hassanaly Bruce A. Perry M. Mueller S. Yellapantula 40 5 0 28 Dec 2021
Funnels: Exact maximum likelihood with dimensionality reduction Samuel Klein J. A. Raine Sebastian Pina-Otey Slava Voloshynovskiy T. Golling TPM 38 4 0 15 Dec 2021
Multi-Asset Spot and Option Market Simulation Magnus Wiese Ben Wood Alexandre Pachoud R. Korn Hans Buehler Phillip Murray Lianjun Bai 27 21 0 13 Dec 2021
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 31 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
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 30 22 0 24 Nov 2021
A Probabilistic Hard Attention Model For Sequentially Observed Scenes Samrudhdhi B. Rangrej James J. Clark 24 12 0 15 Nov 2021
Resampling Base Distributions of Normalizing Flows Vincent Stimper Bernhard Schölkopf José Miguel Hernández-Lobato BDL 30 32 0 29 Oct 2021
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih 42 64 0 21 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 30 73 0 23 Sep 2021
Parallelised Diffeomorphic Sampling-based Motion Planning Tin Lai Weiming Zhi Tucker Hermans Fabio Ramos 26 26 0 26 Aug 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 26 16 0 24 Jun 2021
Real-time gravitational-wave science with neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Jakob H. Macke A. Buonanno Bernhard Schölkopf 24 131 0 23 Jun 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 26 47 0 15 Jun 2021
Improving Bridge estimators via $f$ -GAN Hanwen Xing OT 13 3 0 14 Jun 2021
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim Jungil Kong Juhee Son DRL 89 847 0 11 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 22 36 0 10 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 29 4 0 10 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 34 81 0 09 Jun 2021
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation Chris Waites Rachel Cummings 19 15 0 25 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 483 0 08 Mar 2021
Trumpets: Injective Flows for Inference and Inverse Problems K. Kothari AmirEhsan Khorashadizadeh Maarten V. de Hoop Ivan Dokmanić TPM 29 50 0 20 Feb 2021
Annealed Flow Transport Monte Carlo Michael Arbel A. G. Matthews Arnaud Doucet 36 70 0 15 Feb 2021
Jacobian Determinant of Normalizing Flows Huadong Liao Jiawei He DRL 19 7 0 12 Feb 2021