Robert A. Barton

According to our database, Robert A. Barton authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment.

Wenliang Zhong, Wenyi Wu, Qi Li, Robert A. Barton, Boxin Du, Shioulin Sam, Karim Bouyarmane, Ismail B. Tutar, Junzhou Huang

CoRR, 2024

2023

Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information.

Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Design for Genetic Perturbation Experiments.

Aldo Pacchiano, Drausin Wulsin, Robert A. Barton, Luis F. Voloch

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation.

Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

SystemMatch: optimizing preclinical drug models to human clinical outcomes via generative latent-space matching.

Scott Gigante, Varsha G. Raghavan, Amanda M. Robinson, Robert A. Barton, Adeeb H. Rahman, Drausin F. Wulsin, Jacques Banchereau, Noam Solomon, Luis F. Voloch, Fabian J. Theis

CoRR, 2022

Self-supervised Hypergraph Representation Learning.

Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution.

Robert A. Barton, Tal Neiman, Changhe Yuan

IEEE Data Eng. Bull., 2021

Hypergraph Pre-training with Graph Neural Networks.

Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong

CoRR, 2021