Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models. - Tennison Liu; Nhan Duy Truong; Armin Nikpour; Luping Zhou; Omid Kavehei (IEEE J. Biomed. Health Informatics, 2020)

HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. - Daniel Jarrett; Bogdan Cebere; Tennison Liu; Alicia Curth; Mihaela van der Schaar (ICML, 2022)

Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes. - Tennison Liu; Alex J. Chan; Boris van Breugel; Mihaela van der Schaar (CoRR, 2022)

TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. - Alan Jeffares; Tennison Liu; Jonathan Crabbé; Fergus Imrie; Mihaela van der Schaar (ICLR, 2023)

GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. - Tennison Liu; Zhaozhi Qian; Jeroen Berrevoets; Mihaela van der Schaar (ICLR, 2023)

Learning Representations without Compositional Assumptions. - Tennison Liu; Jeroen Berrevoets; Zhaozhi Qian; Mihaela van der Schaar (ICML, 2023)

Joint Training of Deep Ensembles Fails Due to Learner Collusion. - Alan Jeffares; Tennison Liu; Jonathan Crabbé; Mihaela van der Schaar (NeurIPS, 2023)

Unveiling the Power of Sparse Neural Networks for Feature Selection. - Zahra Atashgahi; Tennison Liu; Mykola Pechenizkiy; Raymond N. J. Veldhuis; Decebal Constantin Mocanu; Mihaela van der Schaar (ECAI, 2024)

Towards Transparent Time Series Forecasting. - Krzysztof Kacprzyk; Tennison Liu; Mihaela van der Schaar (ICLR, 2024)

Large Language Models to Enhance Bayesian Optimization. - Tennison Liu; Nicolás Astorga; Nabeel Seedat; Mihaela van der Schaar (ICLR, 2024)

Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios. - Nicolás Astorga; Tennison Liu; Nabeel Seedat; Mihaela van der Schaar (NeurIPS, 2024)

Automatically Learning Hybrid Digital Twins of Dynamical Systems. - Samuel Holt; Tennison Liu; Mihaela van der Schaar (NeurIPS, 2024)

Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models. - Samuel Holt; Zhaozhi Qian; Tennison Liu; James Weatherall; Mihaela van der Schaar (NeurIPS, 2024)

Autoformulation of Mathematical Optimization Models Using LLMs. - Nicolás Astorga; Tennison Liu; Yuanzhang Xiao; Mihaela van der Schaar (CoRR, 2024)

Active Task Disambiguation with LLMs. - Kasia Kobalczyk; Nicolás Astorga; Tennison Liu; Mihaela van der Schaar (ICLR, 2025)

Decision Tree Induction Through LLMs via Semantically-Aware Evolution. - Tennison Liu; Nicolas Huynh; Mihaela van der Schaar (ICLR, 2025)

Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets. - Simpson Zhang; Tennison Liu; Mihaela van der Schaar (CoRR, 2025)

Truly Self-Improving Agents Require Intrinsic Metacognitive Learning. - Tennison Liu; Mihaela van der Schaar (CoRR, 2025)