{"total":38,"rows":[{"id":"2106.11642","title":"Repulsive Deep Ensembles are Bayesian","created":"2021-06-22","cited_by_count":104,"area":null},{"id":"2105.06868","title":"Priors in Bayesian Deep Learning: A Review","created":"2021-05-14","cited_by_count":101,"area":null},{"id":"2109.08215","title":"Pre-trained Gaussian Processes for Bayesian Optimization","created":"2021-09-16","cited_by_count":63,"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":"2312.17199","title":"Tractable Function-Space Variational Inference in Bayesian Neural Networks","created":"2023-12-28","cited_by_count":41,"area":null},{"id":"2312.17210","title":"Continual Learning via Sequential Function-Space Variational Inference","created":"2023-12-28","cited_by_count":29,"area":null},{"id":"2106.03195","title":"Meta-Learning Reliable Priors in the Function Space","created":"2021-06-06","cited_by_count":23,"area":null},{"id":"2106.10760","title":"On Stein Variational Neural Network Ensembles","created":"2021-06-20","cited_by_count":21,"area":null},{"id":"2205.06342","title":"Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning","created":"2022-05-12","cited_by_count":21,"area":null},{"id":"2312.17162","title":"Function-Space Regularization in Neural Networks: A Probabilistic Perspective","created":"2023-12-28","cited_by_count":20,"area":null},{"id":"2505.23947","title":"Position: The Future of Bayesian Prediction Is Prior-Fitted","created":"2025-05-29","cited_by_count":20,"area":null},{"id":"2110.07618","title":"Function-space Inference with Sparse Implicit Processes","created":"2021-10-14","cited_by_count":13,"area":null},{"id":"2306.03982","title":"Globally injective and bijective neural operators","created":"2023-06-06","cited_by_count":13,"area":null},{"id":"2407.13711","title":"FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning","created":"2024-07-18","cited_by_count":11,"area":null},{"id":"2304.01762","title":"Incorporating Unlabelled Data into Bayesian Neural Networks","created":"2023-04-04","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":"2301.11040","title":"Random Grid Neural Processes for Parametric Partial Differential Equations","created":"2023-01-26","cited_by_count":8,"area":null},{"id":"2410.01565","title":"Bayes' Power for Explaining In-Context Learning Generalizations","created":"2024-10-02","cited_by_count":8,"area":null},{"id":"2412.15758","title":"Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles","created":"2024-12-20","cited_by_count":8,"area":null},{"id":"2107.10125","title":"A variational approximate posterior for the deep Wishart process","created":"2021-07-21","cited_by_count":6,"area":null},{"id":"2110.06020","title":"On out-of-distribution detection with Bayesian neural networks","created":"2021-10-12","cited_by_count":6,"area":null},{"id":"2207.08406","title":"Kullback-Leibler and Renyi divergences in reproducing kernel Hilbert space and Gaussian process settings","created":"2022-07-18","cited_by_count":4,"area":null},{"id":"2404.13182","title":"Spectral Convolutional Conditional Neural Processes","created":"2024-04-19","cited_by_count":4,"area":null},{"id":"2403.19381","title":"On Uncertainty Quantification for Near-Bayes Optimal Algorithms","created":"2024-03-28","cited_by_count":3,"area":null},{"id":"2406.04317","title":"Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks","created":"2024-06-06","cited_by_count":3,"area":null},{"id":"2310.17852","title":"Function Space Bayesian Pseudocoreset for Bayesian Neural Networks","created":"2023-10-27","cited_by_count":2,"area":null},{"id":"2409.16632","title":"Functional Stochastic Gradient MCMC for Bayesian Neural Networks","created":"2024-09-25","cited_by_count":2,"area":null},{"id":"2410.15777","title":"Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations","created":"2024-10-21","cited_by_count":2,"area":null},{"id":"2205.00163","title":"Deep Ensemble as a Gaussian Process Approximate Posterior","created":"2022-04-30","cited_by_count":1,"area":null},{"id":"2406.02177","title":"One-Shot Federated Learning with Bayesian Pseudocoresets","created":"2024-06-04","cited_by_count":1,"area":null},{"id":"2606.01954","title":"Flow-Transformed Implicit Processes for Function-Space Variational Inference","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2109.03708","title":"Self-explaining variational posterior distributions for Gaussian Process models","created":"2021-09-08","cited_by_count":0,"area":null},{"id":"2307.06055","title":"Function-Space Regularization for Deep Bayesian Classification","created":"2023-07-12","cited_by_count":0,"area":null},{"id":"2505.20235","title":"Variational Deep Learning via Implicit Regularization","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2509.05328","title":"Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance","created":"2025-08-31","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},{"id":"2606.06351","title":"Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.25745","title":"Gaussian Mean Field Variational Inference can Overestimate Predictive Variance","created":"2026-06-24","cited_by_count":0,"area":null}],"next_cursor":null}