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| Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box | Apr 11, 2023 | Probabilistic ProgrammingStochastic Optimization | CodeCode Available | 0 |
| Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space | Apr 10, 2023 | Variational Inference | —Unverified | 0 |
| Variational Distribution Learning for Unsupervised Text-to-Image Generation | Mar 28, 2023 | Image CaptioningImage Generation | —Unverified | 0 |
| The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting | Mar 28, 2023 | Variational Inference | —Unverified | 0 |
| Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning | Mar 28, 2023 | Computational EfficiencyRepresentation Learning | CodeCode Available | 0 |
| Variational Inference for Longitudinal Data Using Normalizing Flows | Mar 24, 2023 | ImputationVariational Inference | CodeCode Available | 0 |
| Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks | Mar 19, 2023 | Bayesian InferenceHyperspectral Unmixing | CodeCode Available | 0 |
| Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators | Mar 19, 2023 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
