Liu, Tennison

16 publications

ICLR 2025 Active Task Disambiguation with LLMs Kasia Kobalczyk, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar

ICML 2025 Autoformulation of Mathematical Optimization Models Using LLMs Nicolás Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela Van Der Schaar

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

ICML 2025 Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning Tennison Liu, Mihaela Van Der Schaar

NeurIPS 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

NeurIPSW 2024 Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization Hao Sun, Thomas Pouplin, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar

NeurIPSW 2024 Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization Hao Sun, Thomas Pouplin, Nicolás Astorga, 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 Towards Transparent Time Series Forecasting Krzysztof Kacprzyk, Tennison Liu, 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

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

ICML 2023 Learning Representations Without Compositional Assumptions Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela Van Der Schaar

ICLR 2023 TANGOS: Regularizing Tabular Neural Networks Through Gradient Orthogonalization and Specialization Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar

ICML 2022 HyperImpute: Generalized Iterative Imputation with Automatic Model Selection Daniel Jarrett, Bogdan C Cebere, Tennison Liu, Alicia Curth, Mihaela Schaar