Ti John

Research Fellow
Research Fellow
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Telefonnummer
+358504418783

Forskningsgrupp

  • Professorship Marttinen P., Research Fellow

Publikationer

Thin and deep Gaussian processes

Daniel Augusto de Souza, Alexander Nikitin, Ti John, Magnus Ross, Mauricio A. Alvarez, Marc Peter Deisenroth, Joao Paulo Pordeus Gomes, Diego Parente Paiva Mesquita, Cesar Lincoln Mattos 2024 Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023

Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions

Caglar Hizli, Ti John, Anne Juuti, Tuure Saarinen, Kirsi Pietiläinen, Pekka Marttinen 2024 Advances in Neural Information Processing Systems 36 (NeurIPS 2023)

Practical Equivariances via Relational Conditional Neural Processes

Daolang Huang, Manuel Haussmann, Ulpu Remes, Ti John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi 2024 Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023

Learning relevant contextual variables within Bayesian optimization

Julien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski 2024 Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence

Memory-Based Dual Gaussian Processes for Sequential Learning

Paul E. Chang, Prakhar Verma, S.T. John, Arno Solin, Mohammad Emtiyaz Khan 2023 Proceedings of the 40th International Conference on Machine Learning

Causal Modeling of Policy Interventions From Treatment-Outcome Sequences

Caglar Hizli, ST John, Anne Juuti, Tuure Saarinen, Kirsi Pietiläinen, Pekka Marttinen 2023 Proceedings of the 40th International Conference on Machine Learning

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models

Rui Li, ST John, Arno Solin 2023 Proceedings of the 40th International Conference on Machine Learning

Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics

Arina Odnoblyudova, Caglar Hizli, ST John, Anne Juuti, Simo Särkkä, Kirsi Pietiläinen, Pekka Marttinen 2023 Proceedings of the 3rd Machine Learning for Health Symposium

Queer In AI : A Case Study in Community-Led Participatory AI

Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, J. Hetvi, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx Mclean, Pan Xu, A. Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew Mcnamara, Raphael Gontijo-Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark 2023 Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023

Fantasizing with Dual GPs in Bayesian Optimization and Active Learning

Paul Chang, Prakhar Verma, Ti John, Victor Picheny, Henry Moss, Arno Solin 2022