Apivich Hemachandra

According to our database, Apivich Hemachandra authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

BoLT: A Benchmark to Democratize Black-box Optimization Research for Expensive LLM Tasks.

Wan Theng Ruth Chew, Zhiliang Chen, Apivich Hemachandra, Bryan Kian Hsiang Low

CoRR, May, 2026

The Chicken and Egg Dilemma: Co-optimizing Data and Model Configurations for LLMs.

Zhiliang Chen, Alfred Wei Lun Leong, Shao Yong Ong, Apivich Hemachandra, Gregory Kang Ruey Lau, Chuan-Sheng Foo, Zhengyuan Liu, Nancy F. Chen, Bryan Kian Hsiang Low

CoRR, February, 2026

2025

PIED: Physics-Informed Experimental Design for Inverse Problems.

Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Uncovering Scaling Laws for Large Language Models via Inverse Problems.

Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

PINNACLE: PINN Adaptive ColLocation and Experimental points selection.

Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Training-Free Neural Active Learning with Initialization-Robustness Guarantees.

Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low

Proceedings of the International Conference on Machine Learning, 2023