Tennison Liu - RankMe

31 papers A* 13A 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Active Task Disambiguation with LLMs. ICLR Kasia Kobalczyk, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar
2025	J	`jnl`	Active Task Disambiguation with LLMs. CoRR Katarzyna Kobalczyk, Nicolas Astorga, Tennison Liu, Mihaela van der Schaar
2025	J	`jnl`	Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets. CoRR Simpson Zhang, Tennison Liu, Mihaela van der Schaar
2025	A*	`conf`	Autoformulation of Mathematical Optimization Models Using LLMs. ICML Nicolás Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela van der Schaar
2025	A*	`conf`	Decision Tree Induction Through LLMs via Semantically-Aware Evolution. ICLR Tennison Liu, Nicolas Huynh, Mihaela van der Schaar
2025	J	`jnl`	Decision Tree Induction Through LLMs via Semantically-Aware Evolution. CoRR Tennison Liu, Nicolas Huynh, Mihaela van der Schaar
2025	J	`jnl`	Hypothesis Hunting with Evolving Networks of Autonomous Scientific Agents. CoRR Tennison Liu, Silas Ruhrberg Estévez, David L. Bentley, Mihaela van der Schaar
2025	—	`conf`	Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning. ICML (Position Papers) Tennison Liu, Mihaela van der Schaar
2025	J	`jnl`	Truly Self-Improving Agents Require Intrinsic Metacognitive Learning. CoRR Tennison Liu, Mihaela van der Schaar
2024	A*	`conf`	Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios. NeurIPS Nicolás Astorga, Tennison Liu, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Autoformulation of Mathematical Optimization Models Using LLMs. CoRR Nicolás Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela van der Schaar
2024	A*	`conf`	Automatically Learning Hybrid Digital Twins of Dynamical Systems. NeurIPS Samuel Holt, Tennison Liu, Mihaela van der Schaar
2024	J	`jnl`	Automatically Learning Hybrid Digital Twins of Dynamical Systems. CoRR Samuel Holt, Tennison Liu, Mihaela van der Schaar
2024	A*	`conf`	Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models. NeurIPS Samuel Holt, Zhaozhi Qian, Tennison Liu, James Weatherall, Mihaela van der Schaar
2024	A*	`conf`	Large Language Models to Enhance Bayesian Optimization. ICLR Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Large Language Models to Enhance Bayesian Optimization. CoRR Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar
2024	A*	`conf`	Towards Transparent Time Series Forecasting. ICLR Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar
2024	A	`conf`	Unveiling the Power of Sparse Neural Networks for Feature Selection. ECAI Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar
2024	J	`jnl`	Unveiling the Power of Sparse Neural Networks for Feature Selection. CoRR Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar
2023	A*	`conf`	GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. ICLR Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar
2023	A*	`conf`	Joint Training of Deep Ensembles Fails Due to Learner Collusion. NeurIPS Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar
2023	J	`jnl`	Joint Training of Deep Ensembles Fails Due to Learner Collusion. CoRR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar
2023	A*	`conf`	Learning Representations without Compositional Assumptions. ICML Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Learning Representations without Compositional Assumptions. CoRR Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2023	A*	`conf`	TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. ICLR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. CoRR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar
2022	A*	`conf`	HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. ICML Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar
2022	J	`jnl`	HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. CoRR Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar
2022	J	`jnl`	Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes. CoRR Tennison Liu, Alex J. Chan, Boris van Breugel, Mihaela van der Schaar
2020	J	`jnl`	Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models. IEEE J. Biomed. Health Informatics Tennison Liu, Nhan Duy Truong, Armin Nikpour, Luping Zhou, Omid Kavehei
2020	J	`jnl`	Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models. CoRR Tennison Liu, Nhan Duy Truong, Armin Nikpour, Luping Zhou, Omid Kavehei