{"total":15,"rows":[{"id":"2404.12484","title":"Neural Methods for Amortized Inference","created":"2024-04-18","cited_by_count":39,"area":null},{"id":"2208.12942","title":"Likelihood-Free Parameter Estimation with Neural Bayes Estimators","created":"2022-08-27","cited_by_count":32,"area":null},{"id":"2206.02218","title":"Statistical Deep Learning for Spatial and Spatio-Temporal Data","created":"2022-06-05","cited_by_count":15,"area":null},{"id":"2306.11472","title":"Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting","created":"2023-06-20","cited_by_count":13,"area":null},{"id":"2310.02600","title":"Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks","created":"2023-10-04","cited_by_count":13,"area":null},{"id":"2101.03906","title":"Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks","created":"2021-01-11","cited_by_count":10,"area":null},{"id":"2306.15642","title":"Neural Bayes estimators for censored inference with peaks-over-threshold models","created":"2023-06-27","cited_by_count":6,"area":null},{"id":"2208.08781","title":"Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions","created":"2022-08-18","cited_by_count":4,"area":null},{"id":"2301.03747","title":"Semiparametric Regression for Spatial Data via Deep Learning","created":"2023-01-10","cited_by_count":2,"area":null},{"id":"2410.20166","title":"DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting","created":"2024-10-26","cited_by_count":2,"area":null},{"id":"2201.09485","title":"Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport","created":"2022-01-24","cited_by_count":1,"area":null},{"id":"2601.01813","title":"Spatio-temporal modeling and forecasting with Fourier neural operators","created":"2026-01-05","cited_by_count":1,"area":null},{"id":"2406.14742","title":"Latent Variable Sequence Identification for Cognitive Models with Neural Network Estimators","created":"2024-06-20","cited_by_count":0,"area":null},{"id":"2505.01639","title":"Fast Likelihood-Free Parameter Estimation for L\\'evy Processes","created":"2025-05-03","cited_by_count":0,"area":null},{"id":"2512.17696","title":"Spatially-informed transformers: Injecting geostatistical covariance biases into self-attention for spatio-temporal forecasting","created":"2025-12-19","cited_by_count":0,"area":null}],"next_cursor":null}