| Diffusion models for probabilistic programming | Nov 1, 2023 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows | Oct 31, 2023 | Variational Inference | CodeCode Available | 0 |
| Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images | Oct 30, 2023 | Gaussian ProcessesMultiple Instance Learning | —Unverified | 0 |
| Progressive Neural Network for Multi-Horizon Time Series Forecasting | Oct 30, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| DySurv: dynamic deep learning model for survival analysis with conditional variational inference | Oct 28, 2023 | Deep LearningSurvival Analysis | —Unverified | 0 |
| Deep Transformed Gaussian Processes | Oct 27, 2023 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability | Oct 26, 2023 | MemorizationVariational Inference | —Unverified | 0 |
| Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration | Oct 26, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks | Oct 25, 2023 | Conformal PredictionDecision Making | —Unverified | 0 |
| Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization | Oct 25, 2023 | Bayesian OptimizationVariational Inference | CodeCode Available | 0 |
