| Coupled Compound Poisson Factorization | Jan 9, 2017 | ClusteringVariational Inference | —Unverified | 0 | 0 |
| Cross-modal variational inference for bijective signal-symbol translation | Feb 10, 2020 | Audio GenerationDensity Estimation | —Unverified | 0 | 0 |
| CRVI: Convex Relaxation for Variational Inference | Jul 1, 2018 | Inference Optimizationregression | —Unverified | 0 | 0 |
| CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem | Oct 2, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |
| Cyberattack Detection using Deep Generative Models with Variational Inference | May 31, 2018 | Variational Inference | —Unverified | 0 | 0 |
| Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference | Jun 5, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation | Feb 23, 2022 | Model SelectionVariational Inference | —Unverified | 0 | 0 |
| Data Association with Gaussian Processes | Oct 16, 2018 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| Data-driven Seasonal Climate Predictions via Variational Inference and Transformers | Mar 26, 2025 | Variational Inference | —Unverified | 0 | 0 |
| DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration | Mar 12, 2023 | DenoisingImage Restoration | —Unverified | 0 | 0 |
| Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes | Aug 24, 2024 | Multi-Object TrackingObject | —Unverified | 0 | 0 |
| De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation | Aug 1, 2021 | DecoderSentence | —Unverified | 0 | 0 |
| Decoupled Self-supervised Learning for Non-Homophilous Graphs | Jun 7, 2022 | Representation LearningSelf-Supervised Learning | —Unverified | 0 | 0 |
| Decoupled Variational Gaussian Inference | Dec 1, 2014 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Deep Active Learning with Structured Neural Depth Search | Jun 5, 2023 | Active LearningVariational Inference | —Unverified | 0 | 0 |
| Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models | Oct 16, 2019 | Deep LearningDimensionality Reduction | —Unverified | 0 | 0 |
| Deep Attentive Variational Inference | Sep 29, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Deep Bayesian Natural Language Processing | Jul 1, 2019 | Caption GenerationClustering | —Unverified | 0 | 0 |
| Deep Diffeomorphic Normalizing Flows | Oct 8, 2018 | Density EstimationVariational Inference | —Unverified | 0 | 0 |
| Deep Dynamic Poisson Factorization Model | Dec 1, 2017 | modelVariational Inference | —Unverified | 0 | 0 |
| Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis | Jul 30, 2018 | Acoustic ModellingDecoder | —Unverified | 0 | 0 |
| Deep Ensemble as a Gaussian Process Posterior | Sep 29, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Deep Exponential Families | Nov 10, 2014 | Variational Inference | —Unverified | 0 | 0 |
| Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems | Jun 14, 2023 | State EstimationState Space Models | —Unverified | 0 | 0 |
| Deep kernel processes | Oct 4, 2020 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |