Ryan Barron

23 papers B 2C 3Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Limited Linguistic Diversity in Embodied AI Datasets.
CoRR
Selma Wanna, Agnes Luhtaru, Jonathan Salfity, Ryan Barron, Juston Moore, Cynthia Matuszek, Mitch Pryor
2025 J jnl
Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization.
CoRR
Ryan Barron, Maksim Ekin Eren, Olga M. Serafimova, Cynthia Matuszek, Boian S. Alexandrov
2025 J jnl
Matrix Factorization for Inferring Associations and Missing Links.
CoRR
Ryan Barron, Maksim Ekin Eren, Duc P. Truong, Cynthia Matuszek, James Wendelberger, Mary F. Dorn, Boian S. Alexandrov
2025 J jnl
Topic Modeling and Link-Prediction for Material Property Discovery.
CoRR
Ryan Barron, Maksim Ekin Eren, Valentin G. Stanev, Cynthia Matuszek, Boian S. Alexandrov
2024 — conf
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection.
HPEC
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
2024 J jnl
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection.
CoRR
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
2024 — conf
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families.
ISDFS
Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2024 J jnl
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families.
CoRR
Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2024 — conf
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization.
ISDFS
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
2024 J jnl
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization.
CoRR
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
2024 C conf
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization.
ICMLA
Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov
2024 J jnl
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization.
CoRR
Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nick Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov
2024 J jnl
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning.
CoRR
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
2024 B conf
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs.
DocEng
Selma Wanna, Nicholas Solovyev, Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov
2024 J jnl
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs.
CoRR
Selma Wanna, Ryan Barron, Nick Solovyev, Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov
2023 — conf
A Collaborative Building Task in VR Vs. Reality.
ISER
Padraig Higgins, Ryan Barron, Stephanie M. Lukin, Don Engel, Cynthia Matuszek
2023 — conf
A Comparative Analysis of VR-Based and Real-World Human-Robot Collaboration for Small-Scale Joining.
VR Workshops
Padraig Higgins, Ryan Barron, Don Engel, Cynthia Matuszek
2023 C conf
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers.
ICMLA
Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov
2023 J jnl
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers.
CoRR
Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov
2023 C conf
Robust Adversarial Defense by Tensor Factorization.
ICMLA
Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Ben Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov
2023 J jnl
Robust Adversarial Defense by Tensor Factorization.
CoRR
Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Benjamin T. Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov
2022 B conf
Head Pose for Object Deixis in VR-Based Human-Robot Interaction.
RO-MAN
Padraig Higgins, Ryan Barron, Cynthia Matuszek
2021 — conf
A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning.
NeurIPS Datasets and Benchmarks
Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek