ST John

Publication Activity (10 Years)

Years Active: 2023-2023
Publications (10 Years): 7

Top Topics

Gaussian Process

Top Venues

Publications

Arina Odnoblyudova, Caglar Hizli, ST John, Andrea Cognolato, Anne Juuti, Simo Särkkä, Kirsi Pietiläinen, Pekka Marttinen
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics. ML4H@NeurIPS (2023)
Çaglar Hizli, ST John, Anne Juuti, Tuure Saarinen, Kirsi Pietiläinen, Pekka Marttinen
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions. CoRR (2023)
Daolang Huang, Manuel Haussmann, Ulpu Remes, ST John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
Practical Equivariances via Relational Conditional Neural Processes. CoRR (2023)
Rui Li, ST John, Arno Solin
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models. CoRR (2023)
Arina Odnoblyudova, Çaglar Hizli, ST John, Andrea Cognolato, Anne Juuti, Simo Särkkä, Kirsi Pietiläinen, Pekka Marttinen
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics. CoRR (2023)
Daniel Augusto de Souza, Alexander Nikitin, ST John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João Paulo Pordeus Gomes, Diego Mesquita, César C. Lincoln Mattos
Thin and deep Gaussian processes. NeurIPS (2023)
Daolang Huang, Manuel Haussmann, Ulpu Remes, ST John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
Practical Equivariances via Relational Conditional Neural Processes. NeurIPS (2023)