Martin D. Burke

According to our database, Martin D. Burke authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

TorchAmi: Generalized CPU/GPU implementation of algorithmic matsubara integration.

Martin D. Burke, J. P. F. LeBlanc

Comput. Phys. Commun., 2025

2024

Closed-loop transfer enables artificial intelligence to yield chemical knowledge.

Nicholas H. Angello, David M. Friday, Changhyun Hwang, Seungjoo Yi, Austin H. Cheng, Tiara Torres-Flores, Edward R. Jira, Wesley Wang, Alán Aspuru-Guzik, Martin D. Burke, Charles M. Schroeder, Ying Diao, Nicholas E. Jackson

Nat., 2024

FARM: Functional Group-Aware Representations for Small Molecules.

Thao Nguyen, Kuan-Hao Huang, Ge Liu, Martin D. Burke, Ying Diao, Heng Ji

CoRR, 2024

Molecule Maker Lab Institute: Accelerating, advancing, and democratizing molecular innovation.

Martin D. Burke, Scott E. Denmark, Ying Diao, Jiawei Han, Rachel D. Switzky, Huimin Zhao

AI Mag., 2024

Robust Model-Based Optimization for Challenging Fitness Landscapes.

Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design.

Carl Edwards, Aakanksha Naik, Tushar Khot, Martin D. Burke, Heng Ji, Tom Hope

CoRR, 2023

Property-Guided Generative Modelling for Robust Model-Based Design with Imbalanced Data.

Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha

CoRR, 2023

Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data.

Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin D. Burke, Huimin Zhao, Jiawei Han

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Chemical-Reaction-Aware Molecule Representation Learning.

Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke

Proceedings of the Tenth International Conference on Learning Representations, 2022

REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification.

Xuan Wang, Vivian Hu, Minhao Jiang, Yu Zhang, Jinfeng Xiao, Danielle Cherrice Loving, Heng Ji, Martin D. Burke, Jiawei Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022