Detection and Identification of Objects and Humans in Thermal Images. - Manish Bhattarai; Manel Martínez-Ramón (CoRR, 2019)

Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. - Manish Bhattarai; Diane Oyen; Juan Castorena; Liping Yang 002; Brendt Wohlberg (CVPR Workshops, 2020)

Learning Spatial Relationships between Samples of Patent Image Shapes. - Juan Castorena; Manish Bhattarai; Diane Oyen (CVPR Workshops, 2020)

Distributed Non-Negative Tensor Train Decomposition. - Manish Bhattarai; Gopinath Chennupati; Erik Skau; Raviteja Vangara; Hristo N. Djidjev; Boian S. Alexandrov (HPEC, 2020)

An embedded deep learning system for augmented reality in firefighting applications. - Manish Bhattarai; Aura Rose Jensen-Curtis; Manel Martínez-Ramón (ICMLA, 2020)

Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling. - Raviteja Vangara; Erik Skau; Gopinath Chennupati; Hristo N. Djidjev; Thomas Tierney; James P. Smith; Manish Bhattarai; Valentin G. Stanev; Boian S. Alexandrov (ICMLA, 2020)

A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting. - Manish Bhattarai; Manel Martínez-Ramón (IEEE Access, 2020)

A Novel Indoor Positioning System for unprepared firefighting scenarios. - Vamsi Karthik Vadlamani; Manish Bhattarai; Meenu Ajith; Manel Martínez-Ramón (CoRR, 2020)

A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments. - Manish Bhattarai; Manel Martínez-Ramón (ICAART (2), 2021)

Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization. - Kazi Lutful Kabir; Manish Bhattarai; Boian S. Alexandrov; Amarda Shehu (ICCABS, 2021)

Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition. - Jesus Pulido; John Patchett; Manish Bhattarai; Boian S. Alexandrov; James P. Ahrens (EuroVis (Short Papers), 2021)

Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization. - Raviteja Vangara; Manish Bhattarai; Erik Skau; Gopinath Chennupati; Hristo N. Djidjev; Thomas Tierney; James P. Smith; Valentin G. Stanev; Boian S. Alexandrov (IEEE Access, 2021)

Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments. - Manish Bhattarai (CoRR, 2021)

SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. - Maksim Ekin Eren; Nick Solovyev 001; Manish Bhattarai; Kim Ø. Rasmussen; Charles Nicholas; Boian S. Alexandrov (DocEng, 2022)

Distributed Out-of-Memory SVD on CPU/GPU Architectures. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Nick Solovyev 001; Hristo N. Djidjev; Boian S. Alexandrov (HPEC, 2022)

One-Shot Federated Group Collaborative Filtering. - Maksim Ekin Eren; Manish Bhattarai; Nicholas Solovyev 001; Luke E. Richards; Roberto Yus; Charles Nicholas; Boian S. Alexandrov (ICMLA, 2022)

Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data. - Manish Bhattarai; Namita Kharat; Erik Skau; Benjamin T. Nebgen; Hristo N. Djidjev; Sanjay V. Rajopadhye; James P. Smith; Boian S. Alexandrov (CoRR, 2022)

Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Erik Skau; Philip Romero; Stephan J. Eidenbenz; Boian S. Alexandrov (CoRR, 2022)

FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. - Maksim Ekin Eren; Luke E. Richards; Manish Bhattarai; Roberto Yus; Charles Nicholas; Boian S. Alexandrov (CoRR, 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)

MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. - Maksim Ekin Eren; Manish Bhattarai; Kim Ø. Rasmussen; Boian S. Alexandrov; Charles Nicholas (ISI, 2023)

Matrix Diagonalization as a Board Game: Teaching an Eigensolver the Fastest Path to Solution. - Philip Romero; Manish Bhattarai; Christian F. A. Negre; Anders M. N. Niklasson; Adetokunbo Adedoyin (CoRR, 2023)

General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization. - Maksim Ekin Eren; Juston S. Moore; Erik Skau; Elisabeth Moore; Manish Bhattarai; Gopinath Chennupati; Boian S. Alexandrov (DTRAP, 2023)

Distributed non-negative RESCAL with automatic model selection for exascale data. - Manish Bhattarai; Namita Kharat; Ismael Boureima; Erik Skau; Benjamin T. Nebgen; Hristo N. Djidjev; Sanjay V. Rajopadhye; James P. Smith; Boian S. Alexandrov (J. Parallel Distributed Comput., 2023)

Examining DNA breathing with pyDNA-EPBD. - Anowarul Kabir; Manish Bhattarai; Kim Ø. Rasmussen; Amarda Shehu; Anny Usheva; Alan R. Bishop; Boian S. Alexandrov (Bioinform., 2023)

Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. - Maksim Ekin Eren; Manish Bhattarai; Robert J. Joyce; Edward Raff; Charles Nicholas; Boian S. Alexandrov (ACM Trans. Priv. Secur., 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)

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. - Manish Bhattarai; Javier E. Santos; Shawn Jones; Ayan Biswas; Boian S. Alexandrov; Daniel O'Malley (HPEC, 2024)

Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. - Afia Anjum; Maksim Ekin Eren; Ismael Boureima; Boian S. Alexandrov; Manish Bhattarai (ICMLA, 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)

Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization. - Kshitij Bhatta; Geigh Zollicoffer; Manish Bhattarai; Phil Romero; Christian F. A. Negre; Anders M. N. Niklasson; Adetokunbo Adedoyin (CoRR, 2024)

Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework. - Geigh Zollicoffer; Kshitij Bhatta; Manish Bhattarai; Phil Romero; Christian F. A. Negre; Anders M. N. Niklasson; Adetokunbo Adedoyin (CoRR, 2024)

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization. - Minh N. Vu; Ben Nebgen; Erik Skau; Geigh Zollicoffer; Juan Castorena; Kim Ø. Rasmussen; Boian S. Alexandrov; Manish Bhattarai (CoRR, 2024)

Benchmarking Large Language Models with Integer Sequence Generation Tasks. - Daniel O'Malley; Manish Bhattarai; Javier E. Santos (CoRR, 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)

Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation. - Manish Bhattarai; Minh Vu; Javier E. Santos; Ismael Boureima; Daniel O'Malley (CoRR, 2024)

Distributed out-of-memory NMF on CPU/GPU architectures. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Erik Skau; Philip Romero; Stephan J. Eidenbenz; Boian S. Alexandrov (J. Supercomput., 2024)

Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Erik Skau; Philip Romero; Stephan J. Eidenbenz; Boian S. Alexandrov (J. Supercomput., 2024)

LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. - Geigh Zollicoffer; Minh N. Vu; Ben Nebgen; Juan Castorena; Boian S. Alexandrov; Manish Bhattarai (AAAI, 2025)

PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval Using Model Uncertainty. - Roman Colman; Minh Vu; Manish Bhattarai; Martin Ma; Hari S. Viswanathan; Daniel O'Malley; Javier E. Santos (WACV, 2025)

Topological Signatures of Adversaries in Multimodal Alignments. - Minh N. Vu; Geigh Zollicoffer; Huy Mai; Ben Nebgen; Boian S. Alexandrov; Manish Bhattarai (CoRR, 2025)

ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement. - Manish Bhattarai; Miguel Cordova; Javier E. Santos; Dan O'Malley (CoRR, 2025)

TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts. - Pradip Kunwar; Minh N. Vu; Maanak Gupta; Mahmoud Abdelsalam; Manish Bhattarai (CoRR, 2025)

Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval. - Alexander Most; Joseph Winjum; Ayan Biswas; Shawn M. Jones; Nishath Rajiv Ranasinghe; Dan O'Malley; Manish Bhattarai (CoRR, 2025)

Diverging Towards Hallucination: Detection of Failures in Vision-Language Models via Multi-token Aggregation. - Geigh Zollicoffer; Minh N. Vu; Manish Bhattarai (CoRR, 2025)