Personer

Ti John

Research Fellow

T313 Dept. Computer Science

Full researcher profile

https://research.aalto.fi/...

E-post

ti.john@aalto.fi

Forskningsgrupp

Professorship Marttinen P., Research Fellow

Publikationer

Identifying latent state transitions in non-linear dynamical systems

Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge, S. T. John, Pekka Marttinen 2025 13th International Conference on Learning Representations, ICLR 2025

Computational modeling enables individual assessment of postprandial glucose and insulin responses after bariatric surgery

Onur Poyraz, Sini Heinonen, S. T. John, Tuure Saarinen, Anne Juuti, Pekka Marttinen, Kirsi H. Pietiläinen 2025 Communications Medicine

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

Ti John

Forskningsgrupp

Publikationer

Identifying latent state transitions in non-linear dynamical systems

Computational modeling enables individual assessment of postprandial glucose and insulin responses after bariatric surgery

Thin and deep Gaussian processes

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

Practical Equivariances via Relational Conditional Neural Processes

Learning relevant contextual variables within Bayesian optimization

LLaMA-Annotate—Visualizing Token-Level Confidences for LLMs

Challenges in interpretability of additive models

Memory-Based Dual Gaussian Processes for Sequential Learning

Causal Modeling of Policy Interventions From Treatment-Outcome Sequences