{"total":20,"rows":[{"id":"2112.10510","title":"Transformers Can Do Bayesian Inference","created":"2021-12-20","cited_by_count":360,"area":null},{"id":"2207.01074","title":"Variational Deep Image Restoration","created":"2022-07-03","cited_by_count":24,"area":null},{"id":"2103.03158","title":"A Structural Causal Model for MR Images of Multiple Sclerosis","created":"2021-03-04","cited_by_count":21,"area":null},{"id":"2203.13417","title":"Amortized Projection Optimization for Sliced Wasserstein Generative Models","created":"2022-03-25","cited_by_count":17,"area":null},{"id":"2302.03067","title":"Memory-Based Meta-Learning on Non-Stationary Distributions","created":"2023-02-06","cited_by_count":15,"area":null},{"id":"2106.11302","title":"Nested Variational Inference","created":"2021-06-21","cited_by_count":14,"area":null},{"id":"2408.13230","title":"Amortized Bayesian Multilevel Models","created":"2024-08-23","cited_by_count":14,"area":null},{"id":"2502.04949","title":"Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation","created":"2025-02-07","cited_by_count":10,"area":null},{"id":"2103.00668","title":"Learning Proposals for Probabilistic Programs with Inference Combinators","created":"2021-03-01","cited_by_count":6,"area":null},{"id":"2208.10530","title":"Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference","created":"2022-08-22","cited_by_count":6,"area":null},{"id":"2202.12363","title":"Estimators of Entropy and Information via Inference in Probabilistic Models","created":"2022-02-24","cited_by_count":3,"area":null},{"id":"2501.10229","title":"Amortized Bayesian Mixture Models","created":"2025-01-17","cited_by_count":3,"area":null},{"id":"2601.02241","title":"From Mice to Trains: Amortized Bayesian Inference on Graph Data","created":"2026-01-05","cited_by_count":2,"area":null},{"id":"2103.00737","title":"Meta-Learning an Inference Algorithm for Probabilistic Programs","created":"2021-03-01","cited_by_count":1,"area":null},{"id":"2110.10284","title":"flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs","created":"2021-10-19","cited_by_count":1,"area":null},{"id":"2508.14143","title":"The Urysohn Machine: A Metric-Topological Model of Computation","created":"2025-08-19","cited_by_count":1,"area":null},{"id":"2104.00965","title":"Variational Deep Image Denoising","created":"2021-04-02","cited_by_count":0,"area":null},{"id":"2408.11283","title":"Inference Plans for Hybrid Particle Filtering","created":"2024-08-21","cited_by_count":0,"area":null},{"id":"2503.18608","title":"AutoBayes: A Compositional Framework for Generalized Variational Inference","created":"2025-03-24","cited_by_count":0,"area":null},{"id":"2610.16736","title":"Amortised adaptive importance sampling","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}