| Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation | Nov 2, 2017 | Autonomous DrivingVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Mixture Learning in Black-Box Variational Inference | Jun 11, 2024 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| Functional Variational Bayesian Neural Networks | Mar 14, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes | May 27, 2017 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Benchmarking and optimizing organism wide single-cell RNA alignment methods | Mar 26, 2025 | BenchmarkingDecoder | CodeCode Available | 0 | 5 |
| Efficient Nonparametric Tensor Decomposition for Binary and Count Data | Jan 15, 2024 | Tensor DecompositionVariational Inference | CodeCode Available | 0 | 5 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 | 5 |
| Efficient Optimization of Loops and Limits with Randomized Telescoping Sums | May 16, 2019 | Meta-LearningVariational Inference | CodeCode Available | 0 | 5 |
| Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference | Jun 15, 2018 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 | 5 |
| PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video | May 16, 2025 | Data AugmentationSelf-Supervised Learning | CodeCode Available | 0 | 5 |
