Tennison Liu

Orcid: 0000-0002-1664-5212

According to our database1, Tennison Liu authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Autoformulation of Mathematical Optimization Models Using LLMs.
CoRR, 2024

Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Automatically Learning Hybrid Digital Twins of Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Large Language Models to Enhance Bayesian Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Transparent Time Series Forecasting.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unveiling the Power of Sparse Neural Networks for Feature Selection.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Representations without Compositional Assumptions.
Proceedings of the International Conference on Machine Learning, 2023

GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes.
CoRR, 2022

HyperImpute: Generalized Iterative Imputation with Automatic Model Selection.
Proceedings of the International Conference on Machine Learning, 2022

2020
Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models.
IEEE J. Biomed. Health Informatics, 2020


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