| Continual Learning via Sequential Function-Space Variational Inference | Dec 28, 2023 | Bayesian InferenceContinual Learning | CodeCode Available | 1 |
| Continual Repeated Annealed Flow Transport Monte Carlo | Jan 31, 2022 | Variational Inference | CodeCode Available | 1 |
| ContraBAR: Contrastive Bayes-Adaptive Deep RL | Jun 4, 2023 | Contrastive LearningMeta Reinforcement Learning | CodeCode Available | 1 |
| A Deep Variational Approach to Clustering Survival Data | Jun 10, 2021 | ClusteringDeep Clustering | CodeCode Available | 1 |
| Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation | Aug 8, 2022 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 |
| D3p -- A Python Package for Differentially-Private Probabilistic Programming | Mar 22, 2021 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 1 |
| Deep Causal Reasoning for Recommendations | Jan 6, 2022 | Recommendation SystemsVariational Inference | CodeCode Available | 1 |
| A Differentiable Point Process with Its Application to Spiking Neural Networks | Jun 2, 2021 | Variational Inference | CodeCode Available | 1 |
| A Discrete Variational Recurrent Topic Model without the Reparametrization Trick | Oct 22, 2020 | document understandingVariational Inference | CodeCode Available | 1 |
| 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 |
| Joint Prompt Optimization of Stacked LLMs using Variational Inference | Jun 21, 2023 | Natural Language UnderstandingVariational Inference | CodeCode Available | 1 |
| Deep Stochastic Volatility Model | Feb 25, 2021 | modelVariational Inference | CodeCode Available | 1 |
| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 |
| Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching | Dec 27, 2023 | Variational Inference | CodeCode Available | 1 |
| Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent | Feb 2, 2024 | Variational Inference | CodeCode Available | 1 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 |
| BayesDLL: Bayesian Deep Learning Library | Sep 22, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders | Mar 6, 2020 | ClusteringDecoder | CodeCode Available | 1 |
| Understanding and Accelerating Particle-Based Variational Inference | Jul 4, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Bayesian Confidence Calibration for Epistemic Uncertainty Modelling | Sep 21, 2021 | object-detectionObject Detection | CodeCode Available | 1 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning | Oct 5, 2020 | Variational Inference | CodeCode Available | 1 |
| BayesDAG: Gradient-Based Posterior Inference for Causal Discovery | Jul 26, 2023 | Causal DiscoveryVariational Inference | CodeCode Available | 1 |
| Auto-Encoding Variational Bayes | Dec 20, 2013 | Anomaly DetectionImage Clustering | CodeCode Available | 1 |
