Robert A. Barton

11 papers A* 2A 1B 1Journal 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment.
CoRR
Wenliang Zhong, Wenyi Wu, Qi Li, Robert A. Barton, Boxin Du, Shioulin Sam, Karim Bouyarmane, Ismail B. Tutar, Junzhou Huang
2023 A conf
Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation.
CIKM
Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan
2023 A* conf
Neural Design for Genetic Perturbation Experiments.
ICLR
Aldo Pacchiano, Drausin Wulsin, Robert A. Barton, Luis F. Voloch
2023 A* conf
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information.
ICLR
Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis
2022 J jnl
Neural Design for Genetic Perturbation Experiments.
CoRR
Aldo Pacchiano, Drausin Wulsin, Robert A. Barton, Luis F. Voloch
2022 J jnl
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information.
CoRR
Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis
2022 B conf
Self-supervised Hypergraph Representation Learning.
IEEE Big Data
Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong
2022 J jnl
SystemMatch: optimizing preclinical drug models to human clinical outcomes via generative latent-space matching.
CoRR
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
2021 J jnl
Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution.
CoRR
Robert A. Barton, Tal Neiman, Changhe Yuan
2021 J jnl
Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution.
IEEE Data Eng. Bull.
Robert A. Barton, Tal Neiman, Changhe Yuan
2021 J jnl
Hypergraph Pre-training with Graph Neural Networks.
CoRR
Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong