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Luke Ong
Observed name:
Ong, Luke
Institutions:
Nanyang Technological University,
Imperial College London
Observed institutions:
Nanyang Technological University,
Imperial College London
OpenAlex ID:
A5121822705
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
2022
·
Tim Reichelt
, Luke Ong
, et al.
·
neural information processing systems
·
1
PDF
Efficient Omni-modal Large Language Model Inference via Per-Query Modality Selection
2026
·
Liu, Shuqi
, Cao, Yuzhou
, et al.
·
arXiv (Cornell University)
PDF
Anytime-Valid Runtime Monitoring of Learned Barrier Certificates
2026
·
Zhipeng Cao
, Taoran Wu
, et al.
·
Preprints.org
Estimating Uncertainty of Omnimodal Large Language Models via External Omnimodal Embeddings
2026
·
Ghinassi, Iacopo
, La, Hy Nguyen Gia
, et al.
·
arXiv (Cornell University)
PDF
FaithformBench: Benchmarking Faithfulness of Mathematical Chain-of-Thought Autoformalisation
2026
·
Cornish, Rob
, Ghinassi, Iacopo
, et al.
·
arXiv (Cornell University)
PDF
AoA: Theorem Proving Agent over Abstract Syntax Tree of Redesigned Language
2026
·
Xu, Qiyuan
, Leang, Joshua Ong Jun
, et al.
·
arXiv (Cornell University)
PDF
Spectra: A Mechanistic Interpretability Library for Vision-Language Models
2026
·
Association for Computational Linguistics 2026
, Lam, Kwok-Yan
, et al.
·
Underline Science Inc.
Cost-Aware Adaptive Conformal Inference for Runtime Assurance in Dynamic Environments
2026
·
Wu, Taoran
, Pan, Jingduo
, et al.
·
arXiv (Cornell University)
PDF
Conformal Prediction Meets Long-tail Classification
2026
·
Shuqi Liu
, Jianguo Huang
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer
2026
·
Liu, Shuqi
, Cao, Yuzhou
, et al.
·
arXiv (Cornell University)
PDF
Reinforcement Learning with $\omega$-Regular Objectives and Constraints
2026
·
Association for Artificial Intelligence 2026
, Ong, Luke
, et al.
·
Underline Science Inc.
Spectra: A Mechanistic Interpretability Library for Vision-Language Models
2026
·
Clement Neo
, Yongsen Zheng
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
SB-TRPO: Towards Safe Reinforcement Learning with Hard Constraints
2025
·
Wagner, Dominik
, Kanwar, Ankit
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
13
Citation count:
1
H-index:
1
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