Continuous hierarchical representations with poincaré Variational Auto-Encoder

Continuous hierarchical representations with poincaré Variational Auto-Encoder

The Variational Auto-Encoder (VAE) is a popular method for learning a generative model and embeddings of the data. Many real datasets are hierarchically structured. However, traditional VAEs map data in a Euclidean latent space which cannot efficiently embed tree-like structures. Hyperbolic spaces w...

Полное описание

Библиографические подробности
Главные авторы:	Mathieu,E, Le Lan, C, Maddison, CJ, Tomioka, R, Teh, YW
Формат:	Conference item
Язык:	English
Опубликовано:	Curran Associates 2019

Схожие документы

Partial disentanglement of hierarchical variational auto‐encoder for texture synthesis
по: Marek Jakab, и др.
Опубликовано: (2020-12-01)

VAEEG: Variational auto-encoder for extracting EEG representation
по: Tong Zhao, и др.
Опубликовано: (2024-12-01)

Representation learning by hierarchical ELM auto‐encoder with double random hidden layers
по: Rui Li, и др.
Опубликовано: (2019-06-01)

Learning Sparse Representation With Variational Auto-Encoder for Anomaly Detection
по: Jiayu Sun, и др.
Опубликовано: (2018-01-01)

Hamiltonian Variational Auto-Encoder
по: Caterini, A, и др.
Опубликовано: (2019)

On the Quality of Deep Representations for Kepler Light Curves Using Variational Auto-Encoders
по: Francisco Mena, и др.
Опубликовано: (2021-10-01)

Conditional Variational AutoEncoder based on Stochastic Attacks
по: Gabriel Zaid, и др.
Опубликовано: (2023-03-01)

Monte Carlo variational auto-encoders
по: Thin, A, и др.
Опубликовано: (2021)

Self-supervised video hashing with hierarchical binary auto-encoder
по: Song, Jingkuan, и др.
Опубликовано: (2020)

Identification of miRNA-Small Molecule Associations by Continuous Feature Representation Using Auto-Encoders
по: Ibrahim Abdelbaky, и др.
Опубликовано: (2021-12-01)

Self-Supervised Variational Auto-Encoders
по: Ioannis Gatopoulos, и др.
Опубликовано: (2021-06-01)

Poincaré sphere trajectory encoding metasurfaces based on generalized Malus’ law
по: Zi-Lan Deng, и др.
Опубликовано: (2024-03-01)

Singular value representation of the coherence Poincaré sphere
по: Laatikainen Jyrki, и др.
Опубликовано: (2022-01-01)

Null infinity and unitary representation of the Poincare group
по: Shamik Banerjee
Опубликовано: (2019-01-01)

A Transformer-Based Hierarchical Variational AutoEncoder Combined Hidden Markov Model for Long Text Generation
по: Kun Zhao, и др.
Опубликовано: (2021-09-01)

Variational AutoEncoder for synthetic insurance data
по: Charlotte Jamotton, и др.
Опубликовано: (2024-12-01)

Nearest Neighbours Graph Variational AutoEncoder
по: Lorenzo Arsini, и др.
Опубликовано: (2023-03-01)

Quantifying Poincare’s Continuation Method for Nonlinear Oscillators
по: Daniel Núñez, и др.
Опубликовано: (2015-01-01)

Continual unsupervised representation learning
по: Rao, D, и др.
Опубликовано: (2019)

Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation
по: Nhat Khang Ngo, и др.
Опубликовано: (2024-01-01)

Hierarchical Transformer Encoder With Structured Representation for Abstract Reasoning
по: Jinwon An, и др.
Опубликовано: (2020-01-01)

HierTTS: Expressive End-to-End Text-to-Waveform Using a Multi-Scale Hierarchical Variational Auto-Encoder
по: Zengqiang Shang, и др.
Опубликовано: (2023-01-01)

Semantic-aware auto-encoders for self-supervised representation learning
по: Wang, G, и др.
Опубликовано: (2022)

Representation learning with efficient extreme learning machine auto-encoders
по: Zhang, Guanghao
Опубликовано: (2021)

Locality preserving binary face representations using auto‐encoders
по: Mohamed Amine Hmani, и др.
Опубликовано: (2022-09-01)

Sparse, Robust and Discriminative Representation by Supervised Regularized Auto-encoder
по: Nima Farajian
Опубликовано: (2019-06-01)

Disentangled variational auto-encoder for semi-supervised learning
по: Li, Yang, и др.
Опубликовано: (2021)

Variational AutoEncoder to Identify Anomalous Data in Robots
по: Luigi Pangione, и др.
Опубликовано: (2021-07-01)

Data-Targeted Prior Distribution for Variational AutoEncoder
по: Nissrine Akkari, и др.
Опубликовано: (2021-09-01)

Benchmarking variational AutoEncoders on cancer transcriptomics data
по: Mostafa Eltager, и др.
Опубликовано: (2023-01-01)

Benchmarking variational AutoEncoders on cancer transcriptomics data.
по: Mostafa Eltager, и др.
Опубликовано: (2023-01-01)

Symbolic expression generation via variational auto-encoder
по: Sergei Popov, и др.
Опубликовано: (2023-03-01)

InvMap and Witness Simplicial Variational Auto-Encoders
по: Aniss Aiman Medbouhi, и др.
Опубликовано: (2023-02-01)

Any-to-any voice conversion using representation separation auto-encoder
по: Zhihua JIAN, и др.
Опубликовано: (2024-02-01)

Any-to-any voice conversion using representation separation auto-encoder
по: Zhihua JIAN, и др.
Опубликовано: (2024-02-01)

Shared Representation of SAR Target and Shadow Based on Multilayer Auto-encoder
по: Sun Zhi-jun, и др.
Опубликовано: (2013-06-01)

Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey
по: Ikram Eddahmani, и др.
Опубликовано: (2023-02-01)

A Specific and Selective Neural Response Representation With Decorrelating Auto-Encoder
по: Jie Zhou, и др.
Опубликовано: (2019-01-01)

The unitary representations of the Poincar\'e group in any spacetime dimension
по: Xavier Bekaert, Nicolas Boulanger
Опубликовано: (2021-06-01)

The thalamus encodes and updates context representations during hierarchical cognitive control.
по: Xitong Chen, и др.
Опубликовано: (2024-12-01)