Ti John
Research Fellow
Research Fellow
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
E-post
[email protected]
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