John, St

9 publications

ECML-PKDD 2024 Llama-Annotate - Visualizing Token-Level Confidences for LLMs Erik Schultheis, St John

NeurIPS 2023 Practical Equivariances via Relational Conditional Neural Processes Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Luck, Samuel Kaski, Luigi Acerbi

NeurIPS 2023 Temporal Causal Mediation Through a Point Process: Direct and Indirect Effects of Healthcare Interventions Çağlar Hızlı, St John, Anne Juuti, Tuure Saarinen, Kirsi Pietiläinen, Pekka Marttinen

NeurIPS 2023 Thin and Deep Gaussian Processes Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A Álvarez, Marc Deisenroth, João Paulo Gomes, Diego Mesquita, César Lincoln Mattos

AISTATS 2022 Non-Separable Spatio-Temporal Graph Kernels via SPDEs Alexander V. Nikitin, St John, Arno Solin, Samuel Kaski

UAI 2020 Amortized Variance Reduction for Doubly Stochastic Objective Ayman Boustati, Sattar Vakili, James Hensman, St John

AISTATS 2019 Gaussian Process Modulated Cox Processes Under Linear Inequality Constraints Andrés F. Lopez-Lopera, St John, Nicolas Durrande

ICML 2018 Large-Scale Cox Process Inference Using Variational Fourier Features St John, James Hensman

NeurIPS 2018 Learning Invariances Using the Marginal Likelihood Mark van der Wilk, Matthias Bauer, St John, James Hensman