Normalizing Flows on Tori and Spheres

6 February 2020

Danilo Jimenez Rezende

Papers citing "Normalizing Flows on Tori and Spheres"

50 / 102 papers shown

Title
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
Learning Lattice Quantum Field Theories with Equivariant Continuous Flows Mathis Gerdes P. D. Haan Corrado Rainone Roberto Bondesan Miranda C. N. Cheng AI4CE 24 40 0 01 Jul 2022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation Brendan Leigh Ross G. Loaiza-Ganem Anthony L. Caterini Jesse C. Cresswell AI4CE 33 2 0 22 Jun 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 33 27 0 17 Jun 2022
Joint Manifold Learning and Density Estimation Using Normalizing Flows S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour DRL 21 0 0 07 Jun 2022
Statistical Deep Learning for Spatial and Spatio-Temporal Data C. Wikle A. Zammit‐Mangion BDL 32 45 0 05 Jun 2022
Deterministic training of generative autoencoders using invertible layers Gianluigi Silvestri Daan Roos L. Ambrogioni TPM 23 2 0 19 May 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 22 28 0 14 Apr 2022
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo J. Stokes Brian Chen S. Veerapaneni 28 6 0 28 Mar 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 37 7 0 19 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 39 44 0 17 Mar 2022
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows Eike Cramer Felix Rauh Alexander Mitsos Raúl Tempone Manuel Dahmen DRL 35 8 0 08 Mar 2022
Principal Manifold Flows Edmond Cunningham Adam D. Cobb Susmit Jha DRL 24 7 0 14 Feb 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 225 165 0 06 Feb 2022
Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport T. L. J. Ng A. Zammit‐Mangion 39 3 0 24 Jan 2022
Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression Akifumi Okuno Masaaki Imaizumi 9 1 0 01 Dec 2021
IKFlow: Generating Diverse Inverse Kinematics Solutions Barrett Ames Jeremy Morgan George Konidaris 14 34 0 17 Nov 2021
Normalizing flows for atomic solids Peter Wirnsberger George Papamakarios Borja Ibarz S. Racanière Andy Ballard Alexander Pritzel Charles Blundell 18 39 0 16 Nov 2021
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals James A. Brofos Marylou Gabrié Marcus A. Brubaker Roy R. Lederman 25 8 0 25 Oct 2021
Learning Stable Vector Fields on Lie Groups Julen Urain Davide Tateo Jan Peters 19 17 0 22 Oct 2021
Implicit Riemannian Concave Potential Maps Danilo Jimenez Rezende S. Racanière AI4CE 30 7 0 04 Oct 2021
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows Qiangqiang Huang Can Pu Kasra Khosoussi David M. Rosen D. Fourie Jonathan P. How J. Leonard 45 7 0 02 Oct 2021
Smooth Normalizing Flows Jonas Köhler Andreas Krämer Frank Noé 32 54 0 01 Oct 2021
Spread Flows for Manifold Modelling Mingtian Zhang Yitong Sun Chen Zhang Jingyu Sun AI4CE 32 2 0 29 Sep 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 27 57 0 18 Aug 2021
Equivariant Manifold Flows Isay Katsman Aaron Lou Derek Lim Qingxuan Jiang Ser-Nam Lim Christopher De Sa AI4CE 25 25 0 19 Jul 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 25 22 0 18 Jun 2021
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold Kieran A. Murphy Carlos Esteves Varun Jampani Srikumar Ramalingam A. Makadia 23 76 0 10 Jun 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 47 32 0 09 Jun 2021
Density estimation on smooth manifolds with normalizing flows Dimitris Kalatzis J. Z. Ye Alison Pouplin Jesper Wohlert Søren Hauberg 19 5 0 07 Jun 2021
Rectangular Flows for Manifold Learning Anthony L. Caterini G. Loaiza-Ganem Geoff Pleiss John P. Cunningham DRL 19 43 0 02 Jun 2021
Density estimation on low-dimensional manifolds: an inflation-deflation approach Christian Horvat J. Pfister 14 14 0 25 May 2021
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows Qiangqiang Huang Can Pu D. Fourie Kasra Khosoussi Jonathan P. How J. Leonard 31 12 0 11 May 2021
Deep Learning Hamiltonian Monte Carlo Sam Foreman Xiao-Yong Jin James C. Osborn 22 16 0 07 May 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 30 10 0 14 Mar 2021
Manifold Density Estimation via Generalized Dequantization James A. Brofos Marcus A. Brubaker Roy R. Lederman 21 5 0 14 Feb 2021
Variational Determinant Estimation with Spherical Normalizing Flows Simon Passenheim Emiel Hoogeboom BDL 31 1 0 24 Dec 2020
ChartPointFlow for Topology-Aware 3D Point Cloud Generation Takumi Kimura Takashi Matsubara K. Uehara 3DPC 31 8 0 04 Dec 2020
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 83 3 0 22 Oct 2020
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior Hong-Ye Hu Dian Wu Yi-Zhuang You Bruno A. Olshausen Yubei Chen BDL DRL 25 15 0 30 Sep 2020
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions T. Glüsenkamp 14 1 0 13 Aug 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 27 119 0 18 Jun 2020
Neural Manifold Ordinary Differential Equations Aaron Lou Derek Lim Isay Katsman Leo Huang Qingxuan Jiang Ser-Nam Lim Christopher De Sa BDL AI4CE 23 79 0 18 Jun 2020
Ordering Dimensions with Nested Dropout Normalizing Flows Artur Bekasov Iain Murray DRL 28 5 0 15 Jun 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin DRL 22 31 0 12 Jun 2020
Neural Ordinary Differential Equations on Manifolds Luca Falorsi Patrick Forré BDL AI4CE 14 33 0 11 Jun 2020
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds Hyeongju Kim Hyeonseung Lee Woohyun Kang Joun Yeop Lee N. Kim 3DPC 25 114 0 08 Jun 2020
The Power Spherical distribution Nicola De Cao Wilker Aziz 24 28 0 08 Jun 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 29 156 0 31 Mar 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows A. Bose Ariella Smofsky Renjie Liao Prakash Panangaden William L. Hamilton DRL 19 67 0 15 Feb 2020