David Antony Selby

According to our database, David Antony Selby authored at least 17 papers between 2024 and 2026.

Collaborative distances:

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

2026

Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models.

Kanta Yamaoka, Sumantrak Mukherjee, Thomas Gärtner, David Antony Selby, Stefan Konigorski, Eyke Hüllermeier, Viktor Bengs, Sebastian Josef Vollmer

CoRR, February, 2026

Benchmarking Missing Data Imputation Methods in Socioeconomic Surveys.

Siyi Sun, David Antony Selby, Yunchuan Huang, Ayush Patnaik, Sebastian Josef Vollmer, Seth R. Flaxman, Anisoara Calinescu

Trans. Mach. Learn. Res., 2026

2025

MEDAKA: Construction of Biomedical Knowledge Graphs Using Large Language Models.

Asmita Sengupta, David Antony Selby, Sebastian Josef Vollmer, Gerrit Großmann

CoRR, September, 2025

How many patients could we save with LLM priors?

Shota Arai, David Antony Selby, Andrew Vargo, Sebastian J. Vollmer

CoRR, September, 2025

Automated Visualization Makeovers with LLMs.

Siddharth Gangwar, David Antony Selby, Sebastian J. Vollmer

CoRR, August, 2025

BioDisco: Multi-agent hypothesis generation with dual-mode evidence, iterative feedback and temporal evaluation.

Yujing Ke, Kevin George, Kathan Pandya, David Blumenthal, Maximilian Sprang, Gerrit Großmann, Sebastian J. Vollmer, David Antony Selby

CoRR, August, 2025

Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences.

Selina Heller, Mohamed Ibrahim, David Antony Selby, Sebastian J. Vollmer

CoRR, July, 2025

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples).

Siyi Sun, David Antony Selby, Yunchuan Huang, Sebastian J. Vollmer, Seth R. Flaxman, Anisoara Calinescu

CoRR, June, 2025

The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete.

Gerrit Großmann, Larisa Ivanova, Sai Leela Poduru, Mohaddeseh Tabrizian, Islam Mesabah, David Antony Selby, Sebastian J. Vollmer

CoRR, May, 2025

CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning.

Yousef Koka, David Antony Selby, Gerrit Großmann, Sebastian J. Vollmer

CoRR, February, 2025

Neural Spatiotemporal Point Processes: Trends and Challenges.

Sumantrak Mukherjee, Mouad Elhamdi, George Mohler, David Antony Selby, Yao Xie, Sebastian Josef Vollmer, Gerrit Großmann

Trans. Mach. Learn. Res., 2025

Visible neural networks for multi-omics integration: a critical review.

David Antony Selby, Rashika Jakhmola, Maximilian Sprang, Gerrit Großmann, Hind Raki, Niloofar Maani, Daria Pavliuk, Jan Ewald, Sebastian J. Vollmer

Frontiers Artif. Intell., 2025

X-Hacking: The Threat of Misguided AutoML.

Rahul Sharma, Sumantrak Mukherjee, Andrea Sipka, Eyke Hüllermeier, Sebastian Josef Vollmer, Sergey Redyuk, David Antony Selby

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Exploring the Alignment of Perceived and Measured Sleep Quality with Working Memory Using Consumer Wearables.

Peter Neigel, David Antony Selby, Shota Arai, Benjamin Tag, Niels van Berkel, Sebastian J. Vollmer, Andrew Vargo, Koichi Kise

Proceedings of the Augmented Humans International Conference 2025, 2025

Rethinking Cancer Gene Identification Through Graph Anomaly Analysis.

Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang, Sebastian Josef Vollmer, Hongzhi Yin, Jiangning Song, Junhang Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Quantitative knowledge retrieval from large language models.

David Antony Selby, Kai Spriestersbach, Yuichiro Iwashita, Dennis Bappert, Archana Warrier, Sumantrak Mukherjee, Muhammad Nabeel Asim, Koichi Kise, Sebastian J. Vollmer

CoRR, 2024

X Hacking: The Threat of Misguided AutoML.

Rahul Sharma, Sergey Redyuk, Sumantrak Mukherjee, Andrea Sipka, Sebastian J. Vollmer, David Antony Selby

CoRR, 2024