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Dino Sejdinovic

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 12:40 AM AMS

11

papers

185

total citations

papers (11)

RKHS-SHAP: Shapley Values for Kernel Methods

NEURIPS 2022arXiv

A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods

NEURIPS 2023arXiv

Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models

NEURIPS 2023arXiv

Deconditional Downscaling with Gaussian Processes

NEURIPS 2021arXiv

BayesIMP: Uncertainty Quantification for Causal Data Fusion

NEURIPS 2021arXiv

Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning

NEURIPS 2022arXiv

Squared Neural Families: A New Class of Tractable Density Models

NEURIPS 2023arXiv

Explaining Preferences with Shapley Values

NEURIPS 2022arXiv

Neural-Kernel Conditional Mean Embeddings

Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks

Giga-scale Kernel Matrix-Vector Multiplication on GPU