| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| Discovering Autoregressive Orderings with Variational Inference | Jan 1, 2021 | Code GenerationImage Captioning | CodeCode Available | 1 |
| DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder | May 23, 2023 | ClusteringDeep Clustering | CodeCode Available | 1 |
| Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors | Apr 4, 2022 | DecoderDiversity | CodeCode Available | 1 |
| Dynamical Variational Autoencoders: A Comprehensive Review | Aug 28, 2020 | 3D Human DynamicsResynthesis | CodeCode Available | 1 |
| EDGE: Explaining Deep Reinforcement Learning Policies | Dec 1, 2021 | Deep Reinforcement LearningMuJoCo | CodeCode Available | 1 |
| Embrace the Gap: VAEs Perform Independent Mechanism Analysis | Jun 6, 2022 | DecoderInductive Bias | CodeCode Available | 1 |
| Empirical Bayes Transductive Meta-Learning with Synthetic Gradients | Apr 27, 2020 | Few-Shot Image ClassificationMeta-Learning | CodeCode Available | 1 |
| A Deep Variational Approach to Clustering Survival Data | Jun 10, 2021 | ClusteringDeep Clustering | CodeCode Available | 1 |
| Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination | Oct 17, 2020 | Model CompressionTensor Decomposition | CodeCode Available | 1 |
| An Empirical Study: Extensive Deep Temporal Point Process | Oct 19, 2021 | Graph structure learningVariational Inference | CodeCode Available | 1 |
| AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network | Sep 17, 2020 | ChunkingVariational Inference | CodeCode Available | 1 |
| Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | Oct 8, 2024 | Computational EfficiencyIrregular Time Series | CodeCode Available | 1 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 |
| FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models | Oct 2, 2018 | Density EstimationForm | CodeCode Available | 1 |
| From Rain Generation to Rain Removal | Aug 8, 2020 | Rain RemovalSingle Image Deraining | CodeCode Available | 1 |
| BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders | Mar 6, 2020 | ClusteringDecoder | CodeCode Available | 1 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 |
| A Discrete Variational Recurrent Topic Model without the Reparametrization Trick | Oct 22, 2020 | document understandingVariational Inference | CodeCode Available | 1 |
| Generative locally linear embedding: A module for manifold unfolding and visualization | Jul 6, 2021 | Data VisualizationDimensionality Reduction | CodeCode Available | 1 |
| GFlowNet-EM for learning compositional latent variable models | Feb 13, 2023 | Variational Inference | CodeCode Available | 1 |
| BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning | Oct 5, 2020 | Variational Inference | CodeCode Available | 1 |
| Automatic Differentiation Variational Inference | Mar 2, 2016 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 1 |
| Gradient-free variational learning with conditional mixture networks | Aug 29, 2024 | Computational EfficiencyMixture-of-Experts | CodeCode Available | 1 |
| Autoencoding Variational Inference For Topic Models | Mar 4, 2017 | Topic ModelsVariational Inference | CodeCode Available | 1 |
