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| Direct loss minimization algorithms for sparse Gaussian processes | Apr 7, 2020 | Computational EfficiencyGaussian Processes | CodeCode Available | 0 |
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| End-to-End Pixel-Based Deep Active Inference for Body Perception and Action | Dec 28, 2019 | Variational Inference | CodeCode Available | 0 |
| Seeded Poisson Factorization: Leveraging domain knowledge to fit topic models | Mar 4, 2025 | Computational EfficiencyTopic Models | CodeCode Available | 0 |
| Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors | Jan 5, 2024 | DenoisingVariational Inference | CodeCode Available | 0 |
| Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling | May 16, 2023 | DenoisingGeophysics | CodeCode Available | 0 |
| Diffusion models for probabilistic programming | Nov 1, 2023 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
