Variational Inference
2,186 papers
Papers per year
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75
157
272
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Papers
Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders
ACL 2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
NeurIPS 2021
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
NeurIPS 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian L_1 Regularization
NeurIPS 2021
Loss function based second-order Jensen inequality and its application to particle variational inference
NeurIPS 2021
Many-to-Many Voice Conversion Based Feature Disentanglement Using Variational Autoencoder
Interspeech 2021
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference
ICML 2021
Matrix Product States for Inference in Discrete Probabilistic Models
JMLR 2021
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
ICLR 2021
Meta-Learning Divergences for Variational Inference
AISTATS 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
ACL 2021
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
ICLR 2021
Mixture weights optimisation for Alpha-Divergence Variational Inference
NeurIPS 2021
Model Selection for Bayesian Autoencoders
NeurIPS 2021
Moment-Based Variational Inference for Stochastic Differential Equations
AISTATS 2021
Monte Carlo Filtering Objectives
IJCAI 2021
Monte Carlo Variational Auto-Encoders
ICML 2021
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
ICML 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds
NeurIPS 2021
Multilevel Monte Carlo Variational Inference
JMLR 2021
Multi-stream based marked point process
ACML 2021
Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering
ICCV 2021
Multi-View Representation Learning via Total Correlation Objective
NeurIPS 2021
Multiwavelet-based Operator Learning for Differential Equations
NeurIPS 2021
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
CoRL 2021