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
LLaMA-Annotate—Visualizing Token-Level Confidences for LLMs
Erik Schultheis, S. T. John
2024
Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Proceedings
Challenges in interpretability of additive models
Xinyu Zhang, Julien Martinelli, Ti John
2024
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