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Methodology
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Deep Learning
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Variational Inference
1946 directly classified papers
Papers per year
2005: 2
2006: 7
2007: 7
2008: 4
2009: 8
2010: 9
2011: 11
2012: 14
2013: 16
2014: 11
2015: 30
2016: 40
2017: 75
2018: 140
2019: 257
2020: 250
2021: 275
2022: 253
2023: 233
2024: 146
2025: 103
2026: 55
Papers
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
ICML 2021
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
ICML 2021
Mixture weights optimisation for Alpha-Divergence Variational Inference
NIPS 2021
Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph
IJCAI 2021
Improving Gaussian mixture latent variable model convergence with Optimal Transport
ACML 2021
DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks
ACML 2021
Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates
ACML 2021
Multi-stream based marked point process
ACML 2021
DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer
EMNLP 2021
Layer-Assisted Neural Topic Modeling over Document Networks
IJCAI 2021
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
IJCAI 2021
Monte Carlo Filtering Objectives
IJCAI 2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference
IJCAI 2021
A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram Modeling
INTERSPEECH 2021
Variational inference with continuously-indexed normalizing flows
UAI 2021
Unbiased gradient estimation for variational auto-encoders using coupled Markov chains
UAI 2021
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data
UAI 2021
Learning proposals for probabilistic programs with inference combinators
UAI 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation
UAI 2021
Trumpets: Injective flows for inference and inverse problems
UAI 2021
Subset-of-data variational inference for deep Gaussian-processes regression
UAI 2021
Variational refinement for importance sampling using the forward Kullback-Leibler divergence
UAI 2021
q-Paths: Generalizing the geometric annealing path using power means
UAI 2021
PROVIDE: a probabilistic framework for unsupervised video decomposition
UAI 2021
Unsupervised Relation Extraction: A Variational Autoencoder Approach
EMNLP 2021
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