| Hybrid Variational Autoencoder for Time Series Forecasting | Mar 13, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework | Jul 20, 2024 | Hyperspectral UnmixingVariational Inference | —Unverified | 0 |
| Variational Hyper-Encoding Networks | May 18, 2020 | DecoderDensity Estimation | —Unverified | 0 |
| Identifiable Feature Learning for Spatial Data with Nonlinear ICA | Nov 28, 2023 | DisentanglementRepresentation Learning | —Unverified | 0 |
| Identifying signal and noise structure in neural population activity with Gaussian process factor models | Dec 1, 2020 | Variational Inference | —Unverified | 0 |
| Idiographic Personality Gaussian Process for Psychological Assessment | Jul 6, 2024 | Variational Inference | —Unverified | 0 |
| iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data | Sep 29, 2021 | Model OptimizationVariational Inference | —Unverified | 0 |
| Out-of-distribution detection for regression tasks: parameter versus predictor entropy | Oct 24, 2020 | DiversityOut-of-Distribution Detection | —Unverified | 0 |
| Importance Sampled Stochastic Optimization for Variational Inference | Apr 19, 2017 | Probabilistic ProgrammingStochastic Optimization | —Unverified | 0 |
| Importance Weighted Structure Learning for Scene Graph Generation | May 14, 2022 | Graph GenerationScene Graph Generation | —Unverified | 0 |
