| A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing | Feb 2, 2024 | Variational Inference | —Unverified | 0 |
| Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent | Feb 2, 2024 | Variational Inference | CodeCode Available | 1 |
| Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach | Jan 30, 2024 | Activity DetectionVariational Inference | CodeCode Available | 0 |
| Multilayer Simplex-structured Matrix Factorization for Hyperspectral Unmixing with Endmember Variability | Jan 26, 2024 | Hyperspectral UnmixingVariational Inference | —Unverified | 0 |
| Towards Improved Variational Inference for Deep Bayesian Models | Jan 23, 2024 | Gaussian ProcessesModel Selection | —Unverified | 0 |
| Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations | Jan 22, 2024 | Autonomous DrivingDeep Reinforcement Learning | —Unverified | 0 |
| Provably Scalable Black-Box Variational Inference with Structured Variational Families | Jan 19, 2024 | Variational Inference | —Unverified | 0 |
| Efficient Nonparametric Tensor Decomposition for Binary and Count Data | Jan 15, 2024 | Tensor DecompositionVariational Inference | CodeCode Available | 0 |
| Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning | Jan 13, 2024 | Decision MakingVariational Inference | —Unverified | 0 |
| DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation | Jan 10, 2024 | Collaborative FilteringDisentanglement | CodeCode Available | 0 |
