{"total":20,"rows":[{"id":"2106.11642","title":"Repulsive Deep Ensembles are Bayesian","created":"2021-06-22","cited_by_count":104,"area":null},{"id":"2402.00809","title":"Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI","created":"2024-02-01","cited_by_count":62,"area":null},{"id":"2302.09656","title":"Credal Bayesian Deep Learning","created":"2023-02-19","cited_by_count":45,"area":null},{"id":"2106.05586","title":"Data augmentation in Bayesian neural networks and the cold posterior effect","created":"2021-06-10","cited_by_count":36,"area":null},{"id":"2106.10760","title":"On Stein Variational Neural Network Ensembles","created":"2021-06-20","cited_by_count":21,"area":null},{"id":"2405.03425","title":"Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models","created":"2024-05-06","cited_by_count":20,"area":null},{"id":"2107.10731","title":"Neural Variational Gradient Descent","created":"2021-07-22","cited_by_count":19,"area":null},{"id":"2305.16905","title":"Improving Neural Additive Models with Bayesian Principles","created":"2023-05-26","cited_by_count":15,"area":null},{"id":"2110.04020","title":"Pathologies in priors and inference for Bayesian transformers","created":"2021-10-08","cited_by_count":13,"area":null},{"id":"2304.08309","title":"Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization","created":"2023-04-17","cited_by_count":10,"area":null},{"id":"2304.01762","title":"Incorporating Unlabelled Data into Bayesian Neural Networks","created":"2023-04-04","cited_by_count":9,"area":null},{"id":"2110.02609","title":"Deep Classifiers with Label Noise Modeling and Distance Awareness","created":"2021-10-06","cited_by_count":8,"area":null},{"id":"2303.05101","title":"Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics","created":"2023-03-09","cited_by_count":8,"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":"2506.00594","title":"Graph Evidential Learning for Anomaly Detection","created":"2025-05-31","cited_by_count":5,"area":null},{"id":"2509.15933","title":"Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics","created":"2025-09-19","cited_by_count":3,"area":null},{"id":"2107.09301","title":"A Bayesian Approach to Invariant Deep Neural Networks","created":"2021-07-20","cited_by_count":1,"area":null},{"id":"2312.00232","title":"Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks","created":"2023-11-30","cited_by_count":0,"area":null},{"id":"2601.03673","title":"Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics","created":"2026-01-07","cited_by_count":0,"area":null},{"id":"2602.22015","title":"Function-Space Empirical Bayes Regularisation with Student's t Priors","created":"2026-02-25","cited_by_count":0,"area":null}],"next_cursor":null}