| Uncertainty quantification of neural network models of evolving processes via Langevin sampling | Apr 21, 2025 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Expected Free Energy-based Planning as Variational Inference | Apr 21, 2025 | Variational Inference | —Unverified | 0 |
| Large Language Bayes | Apr 18, 2025 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks | Apr 15, 2025 | AttributeDiagnostic | —Unverified | 0 |
| No-Regret Generative Modeling via Parabolic Monge-Ampère PDE | Apr 12, 2025 | Variational Inference | —Unverified | 0 |
| Unifying and extending Diffusion Models through PDEs for solving Inverse Problems | Apr 10, 2025 | DenoisingDensity Estimation | —Unverified | 0 |
| Variational Self-Supervised Learning | Apr 6, 2025 | DecoderDenoising | —Unverified | 0 |
| Stochastic Variational Inference with Tuneable Stochastic Annealing | Apr 4, 2025 | Variational Inference | —Unverified | 0 |
| Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching | Apr 4, 2025 | Density EstimationForm | —Unverified | 0 |
| Accelerating Particle-based Energetic Variational Inference | Apr 4, 2025 | Variational Inference | —Unverified | 0 |
