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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
Variational Open-Domain Question Answering
ICML 2023
Structured Cooperative Learning with Graphical Model Priors
ICML 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning
ICML 2023
Multi-Row, Multi-Span Distant Supervision For Table+Text Question Answering
ACL 2023
A theory of continuous generative flow networks
ICML 2023
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
ICML 2023
Variational Mixture of HyperGenerators for Learning Distributions over Functions
ICML 2023
Rigid Body Flows for Sampling Molecular Crystal Structures
ICML 2023
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows
ICML 2023
Vacant holes for unsupervised detection of the outliers in compact latent representation
UAI 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
ICML 2023
GFlowNet-EM for Learning Compositional Latent Variable Models
ICML 2023
Free-Form Variational Inference for Gaussian Process State-Space Models
ICML 2023
Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
ICML 2023
Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator
CVPR 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression
ICML 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
ICML 2023
Stochastic Occupancy Grid Map Prediction in Dynamic Scenes
CORL 2023
Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding
ACL 2023
Boosting Summarization with Normalizing Flows and Aggressive Training
EMNLP 2023
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation
EMNLP 2023
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation
CVPR 2023
Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting
CVPR 2023
Guided Deep Kernel Learning
UAI 2023
Physics-enhanced Gaussian Process Variational Autoencoder
L4DC 2023
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