A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning. - Gaoussou Youssouf Kebe; Padraig Higgins; Patrick Jenkins; Kasra Darvish; Rishabh Sachdeva; Ryan Barron; John Winder; Don Engel; Edward Raff; Francis Ferraro; Cynthia Matuszek (NeurIPS Datasets and Benchmarks, 2021)

Head Pose for Object Deixis in VR-Based Human-Robot Interaction. - Padraig Higgins; Ryan Barron; Cynthia Matuszek (RO-MAN, 2022)

Robust Adversarial Defense by Tensor Factorization. - Manish Bhattarai; Mehmet Cagri Kaymak; Ryan Barron; Ben Nebgen; Kim Ø. Rasmussen; Boian S. Alexandrov (ICMLA, 2023)

Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. - Nicholas Solovyev 001; Ryan Barron; Manish Bhattarai; Maksim Ekin Eren; Kim Ø. Rasmussen; Boian S. Alexandrov (ICMLA, 2023)

A Collaborative Building Task in VR Vs. Reality. - Padraig Higgins; Ryan Barron; Stephanie M. Lukin; Don Engel; Cynthia Matuszek (ISER, 2023)

A Comparative Analysis of VR-Based and Real-World Human-Robot Collaboration for Small-Scale Joining. - Padraig Higgins; Ryan Barron; Don Engel; Cynthia Matuszek (VR Workshops, 2023)

TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs. - Selma Wanna; Nicholas Solovyev 001; Ryan Barron; Maksim Ekin Eren; Manish Bhattarai; Kim Ø. Rasmussen; Boian S. Alexandrov (DocEng, 2024)

Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. - Ryan Barron; Maksim Ekin Eren; Manish Bhattarai; Ismael Boureima; Cynthia Matuszek; Boian S. Alexandrov (HPEC, 2024)

Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. - Ryan Barron; Ves Grantcharov; Selma Wanna; Maksim Ekin Eren; Manish Bhattarai; Nicholas Solovyev 001; George Tompkins; Charles Nicholas; Kim Ø. Rasmussen; Cynthia Matuszek; Boian S. Alexandrov (ICMLA, 2024)

Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. - Ryan Barron; Maksim Ekin Eren; Manish Bhattarai; Selma Wanna; Nick Solovyev 001; Kim Ø. Rasmussen; Boian S. Alexandrov; Charles Nicholas; Cynthia Matuszek (ISDFS, 2024)

Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. - Maksim Ekin Eren; Ryan Barron; Manish Bhattarai; Selma Wanna; Nicholas Solovyev 001; Kim Ø. Rasmussen; Boian S. Alexandrov; Charles Nicholas (ISDFS, 2024)

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning. - Manish Bhattarai; Ryan Barron; Maksim Ekin Eren; Minh Vu; Ves Grantcharov; Ismael Boureima; Valentin G. Stanev; Cynthia Matuszek; Vladimir I. Valtchinov; Kim Ø. Rasmussen; Boian S. Alexandrov (CoRR, 2024)

Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization. - Ryan Barron; Maksim Ekin Eren; Olga M. Serafimova; Cynthia Matuszek; Boian S. Alexandrov (CoRR, 2025)

Matrix Factorization for Inferring Associations and Missing Links. - Ryan Barron; Maksim Ekin Eren; Duc P. Truong; Cynthia Matuszek; James Wendelberger; Mary F. Dorn; Boian S. Alexandrov (CoRR, 2025)

Topic Modeling and Link-Prediction for Material Property Discovery. - Ryan Barron; Maksim Ekin Eren; Valentin G. Stanev; Cynthia Matuszek; Boian S. Alexandrov (CoRR, 2025)