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Hyperspherical Variational Auto-Encoders

3 April 2018

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Papers citing "Hyperspherical Variational Auto-Encoders"

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Title
Neural Ordinary Differential Equations on Manifolds Luca Falorsi Patrick Forré BDL AI4CE 73 33 0 11 Jun 2020
tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder Alexander Campbell Pietro Lio BDL CML 72 9 0 08 Jun 2020
The Power Spherical distribution Nicola De Cao Wilker Aziz 88 29 0 08 Jun 2020
Variational Autoencoder with Embedded Student- $t$ Mixture Model for Authorship Attribution Benedikt T. Boenninghoff Steffen Zeiler R. M. Nickel D. Kolossa BDL DRL 68 2 0 28 May 2020
Hyperbolic Manifold Regression Gian Maria Marconi Lorenzo Rosasco C. Ciliberto 77 6 0 28 May 2020
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors B. Haney Alexander Lavin 56 4 0 23 May 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang Phillip Isola SSL 185 1,865 0 20 May 2020
Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions Tariq Daouda Reda Chhaibi Prudencio Tossou A. Villani 49 2 0 16 May 2020
Maximum likelihood estimation of the Fisher-Bingham distribution via efficient calculation of its normalizing constant Yici Chen Ken’ichiro Tanaka 24 10 0 30 Apr 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away Qile Zhu Jianlin Su Wei Bi Xiaojiang Liu Xiyao Ma Xiaolin Li D. Wu BDL DRL 85 62 0 27 Apr 2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond Chen Henry Wu P. Wang Wenjie Wang DRL 34 4 0 20 Apr 2020
Disentanglement with Hyperspherical Latent Spaces using Diffusion Variational Autoencoders L. A. P. Rey DRL CoGe 30 5 0 19 Mar 2020
Max-Affine Spline Insights into Deep Generative Networks Randall Balestriero Sébastien Paris Richard Baraniuk DRL AI4CE 47 15 0 26 Feb 2020
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 102 7 0 22 Feb 2020
Computationally Tractable Riemannian Manifolds for Graph Embeddings Calin Cruceru Gary Bécigneul O. Ganea 53 34 0 20 Feb 2020
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models Ziyu Wang Shuyu Cheng Yueru Li Jun Zhu Bo Zhang 69 14 0 18 Feb 2020
Learning Group Structure and Disentangled Representations of Dynamical Environments Robin Quessard Thomas D. Barrett W. Clements DRL 61 21 0 17 Feb 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows A. Bose Ariella Smofsky Renjie Liao Prakash Panangaden William L. Hamilton DRL 75 69 0 15 Feb 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 135 49 0 12 Feb 2020
Normalizing Flows on Tori and Spheres Danilo Jimenez Rezende George Papamakarios S. Racanière M. S. Albergo G. Kanwar P. Shanahan Kyle Cranmer TPM 93 157 0 06 Feb 2020
Latent Variables on Spheres for Autoencoders in High Dimensions Deli Zhao Jiapeng Zhu Bo Zhang DRL 43 10 0 21 Dec 2019
Chart Auto-Encoders for Manifold Structured Data Stefan C. Schonsheck Jie Chen Rongjie Lai DRL GNN 44 29 0 20 Dec 2019
Representing Closed Transformation Paths in Encoded Network Latent Space Marissa Connor Christopher Rozell 3DPC DRL 79 28 0 05 Dec 2019
Improving VAE generations of multimodal data through data-dependent conditional priors Frantzeska Lavda Magda Gregorova Alexandros Kalousis 24 4 0 25 Nov 2019
Mixed-curvature Variational Autoencoders Ondrej Skopek O. Ganea Gary Bécigneul CML DRL BDL 76 102 0 19 Nov 2019
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 117 138 0 12 Nov 2019
DDTCDR: Deep Dual Transfer Cross Domain Recommendation P. Li Alexander Tuzhilin 110 273 0 11 Oct 2019
Increasing Expressivity of a Hyperspherical VAE Tim R. Davidson Jakub M. Tomczak E. Gavves 52 5 0 07 Oct 2019
Explicitly disentangling image content from translation and rotation with spatial-VAE Tristan Bepler Ellen D. Zhong Kotaro Kelley E. Brignole Bonnie Berger CoGe DRL 78 74 0 25 Sep 2019
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe BDL CML DRL 80 26 0 06 Sep 2019
Semi-Implicit Graph Variational Auto-Encoders Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 77 132 0 19 Aug 2019
Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM Hyeonwoo Yu DRL 30 0 0 23 Jul 2019
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning Sebastian Farquhar Michael A. Osborne Y. Gal UQCV BDL 106 58 0 01 Jul 2019
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing Daya Guo Duyu Tang Nan Duan M. Zhou Jian Yin RALM 50 49 0 17 Jun 2019
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings Alexander I. Cowen-Rivers Pasquale Minervini Tim Rocktaschel Matko Bosnjak Sebastian Riedel Jun Wang BDL 75 4 0 12 Jun 2019
Discriminative Few-Shot Learning Based on Directional Statistics Junyoung Park Subin Yi Yongseok Choi D.-Y. Cho Jiwon Kim 18 4 0 05 Jun 2019
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching Jihun Choi Taeuk Kim Sang-goo Lee BDL 72 6 0 04 Jun 2019
Controllable Paraphrase Generation with a Syntactic Exemplar Mingda Chen Qingming Tang Sam Wiseman Kevin Gimpel BDL 59 111 0 03 Jun 2019
Variational Diffusion Autoencoders with Random Walk Sampling Henry Li Ofir Lindenbaum Xiuyuan Cheng A. Cloninger DRL DiffM 58 1 0 29 May 2019
Anomaly scores for generative models Václav Smídl J. Bím Tomás Pevný DiffM DRL 25 4 0 28 May 2019
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces Bryan Seybold Emily Fertig Alexander A. Alemi Ian S. Fischer DRL 89 4 0 17 May 2019
Simulating Execution Time of Tensor Programs using Graph Neural Networks Jakub M. Tomczak Romain Lepert Auke Wiggers GNN 37 5 0 26 Apr 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 83 28 0 17 Apr 2019
Graph-Based Method for Anomaly Prediction in Brain Network Jalal Mirakhorli H. Amindavar Mojgan Mirakhorli MedIm 35 1 0 15 Apr 2019
Copula-like Variational Inference Marcel Hirt P. Dellaportas Alain Durmus 38 5 0 15 Apr 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations Mingda Chen Qingming Tang Sam Wiseman Kevin Gimpel DRL 92 76 0 02 Apr 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 75 381 0 14 Mar 2019
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning Yoshihiro Nagano Shoichiro Yamaguchi Yasuhiro Fujita Masanori Koyama BDL DRL 76 15 0 08 Feb 2019
Radial and Directional Posteriors for Bayesian Neural Networks Changyong Oh Kamil Adamczewski Mijung Park BDL 113 20 0 07 Feb 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 80 178 0 17 Jan 2019