{"total":21,"rows":[{"id":"2102.06571","title":"Bayesian Neural Network Priors Revisited","created":"2021-02-12","cited_by_count":121,"area":null},{"id":"2402.17641","title":"Variational Learning is Effective for Large Deep Networks","created":"2024-02-27","cited_by_count":65,"area":null},{"id":"2211.06291","title":"Do Bayesian Neural Networks Need To Be Fully Stochastic?","created":"2022-11-11","cited_by_count":63,"area":null},{"id":"2307.13917","title":"BayesDAG: Gradient-Based Posterior Inference for Causal Discovery","created":"2023-07-26","cited_by_count":33,"area":null},{"id":"2103.01071","title":"A survey on Variational Autoencoders from a GreenAI perspective","created":"2021-03-01","cited_by_count":22,"area":null},{"id":"2202.11670","title":"Wide Mean-Field Bayesian Neural Networks Ignore the Data","created":"2022-02-23","cited_by_count":22,"area":null},{"id":"2202.12275","title":"Partitioned Variational Inference: A Framework for Probabilistic Federated Learning","created":"2022-02-24","cited_by_count":13,"area":null},{"id":"2309.17182","title":"RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations","created":"2023-09-29","cited_by_count":9,"area":null},{"id":"2209.07157","title":"On the detrimental effect of invariances in the likelihood for variational inference","created":"2022-09-15","cited_by_count":8,"area":null},{"id":"2106.07052","title":"Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data","created":"2021-06-13","cited_by_count":7,"area":null},{"id":"2110.00276","title":"TyXe: Pyro-based Bayesian neural nets for Pytorch","created":"2021-10-01","cited_by_count":6,"area":null},{"id":"2206.06295","title":"Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients","created":"2022-06-13","cited_by_count":6,"area":null},{"id":"2306.12497","title":"Density Uncertainty Layers for Reliable Uncertainty Estimation","created":"2023-06-21","cited_by_count":4,"area":null},{"id":"2603.22030","title":"On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors","created":"2026-03-23","cited_by_count":3,"area":null},{"id":"2202.02738","title":"Enhancing variational generation through self-decomposition","created":"2022-02-06","cited_by_count":1,"area":null},{"id":"2306.14861","title":"Leveraging Task Structures for Improved Identifiability in Neural Network Representations","created":"2023-06-26","cited_by_count":1,"area":null},{"id":"2410.07812","title":"Temporal-Difference Variational Continual Learning","created":"2024-10-10","cited_by_count":1,"area":null},{"id":"2411.12102","title":"BALI: Learning Neural Networks via Bayesian Layerwise Inference","created":"2024-11-18","cited_by_count":1,"area":null},{"id":"2503.11808","title":"Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks","created":"2025-03-14","cited_by_count":1,"area":null},{"id":"2606.16214","title":"Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2610.09132","title":"The Impact of Likelihood Tempering on the Limiting Predictive Moments of Variational Bayesian Linear Neural Networks","created":"2026-10-06","cited_by_count":0,"area":null}],"next_cursor":null}