Manish Bhattarai, Ryan Barron, Maksim Eren, Minh Vu, Vesselin Grantcharov, Ismael Boureima, Valentin Stanev, Cynthia Matuszek, Vladimir Valtchinov, Kim Rasmussen, Boian Alexandrov
(2025).
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning.
Proceedings of the 4th International Workshop on Knowledge-Augmented Methods for Natural Language Processing.
Maksim E. Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Rasmussen, Boian S. Alexandrov, Charles Nicholas
(2024).
Catch 'em all, Classification of Rare, Prominent, and Novel Malware Families.
12th International Symposium on Digital Forensics and Security 2024.
Ryan C. Barron, Vesselin Grantcharov, Selma Wanna, Maksim E. Eren, Manish Bhattarai, Nicholas Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov
(2024).
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization.
2024 International Conference on Machine Learning and Applications (ICMLA).
Padraig Higgins, Ryan Barron, Don Engel, Cynthia Matuszek
(2023).
Lessons From A Small-Scale Robot Joining Experiment in VR.
Proceedings of the ACM/IEEE Human-Robot Interaction Conference (HRI): 6th Int’l Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions (VAM-HRI).
Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek
(2021).
A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning.
Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track.