Manish Bhattarai

77 papers A* 2A 2B 3C 8Journal 50Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD. CoRR Pradip Kunwar, Minh N. Vu, Maanak Gupta, Manish Bhattarai
2026	J	`jnl`	Trustworthy Agentic AI Requires Deterministic Architectural Boundaries. CoRR Manish Bhattarai, Minh Nhat Vu
2025	J	`jnl`	ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement. CoRR Manish Bhattarai, Miguel Cordova, Javier E. Santos, Dan O'Malley
2025	J	`jnl`	Diverging Towards Hallucination: Detection of Failures in Vision-Language Models via Multi-token Aggregation. CoRR Geigh Zollicoffer, Minh N. Vu, Manish Bhattarai
2025	J	`jnl`	HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling. CoRR Minh N. Vu, Brian K. Tran, Syed A. Shah, Geigh Zollicoffer, Nhat Hoang-Xuan, Manish Bhattarai
2025	—	`conf`	LaFA: Latent Feature Attacks on Non-Negative Matrix Factorization. ICDM (Workshops) Minh Nhat Vu, Ben Nebgen, Erik Skau, Geigh Zollicoffer, Juan Castorena, Kim Ø. Rasmussen, Boian S. Alexandrov, Manish Bhattarai
2025	A*	`conf`	LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. AAAI Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai
2025	B	`conf`	Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval. DocEng Alexander Most, Joseph Winjum, Manish Bhattarai, Shawn M. Jones, Nishath Rajiv Ranasinghe, Ayan Biswas, Dan O'Malley
2025	J	`jnl`	Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval. CoRR Alexander Most, Joseph Winjum, Ayan Biswas, Shawn M. Jones, Nishath Rajiv Ranasinghe, Dan O'Malley, Manish Bhattarai
2025	J	`jnl`	PAS : Prelim Attention Score for Detecting Object Hallucinations in Large Vision-Language Models. CoRR Nhat Hoang-Xuan, Minh N. Vu, My T. Thai, Manish Bhattarai
2025	A	`conf`	PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval Using Model Uncertainty. WACV Roman Colman, Minh Vu, Manish Bhattarai, Martin Ma, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos
2025	J	`jnl`	TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts. CoRR Pradip Kunwar, Minh N. Vu, Maanak Gupta, Mahmoud Abdelsalam, Manish Bhattarai
2025	A	`conf`	TT-LoRA MoE: Using Parameter-Efficient Fine-Tuning and Sparse Mixture-Of-Experts. SC Pradip Kunwar, Minh N. Vu, Maanak Gupta, Mahmoud Abdelsalam, Manish Bhattarai
2025	A*	`conf`	Topological Signatures of Adversaries in Multimodal Alignments. ICML Minh Nhat Vu, Geigh Zollicoffer, Huy Quang Mai, Ben Nebgen, Boian S. Alexandrov, Manish Bhattarai
2025	J	`jnl`	Topological Signatures of Adversaries in Multimodal Alignments. CoRR Minh Nhat Vu, Geigh Zollicoffer, Huy Quang Mai, Ben Nebgen, Boian S. Alexandrov, Manish Bhattarai
2024	J	`jnl`	Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization. CoRR Kshitij Bhatta, Geigh Zollicoffer, Manish Bhattarai, Phil Romero, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin
2024	J	`jnl`	Benchmarking Large Language Models with Integer Sequence Generation Tasks. CoRR Daniel O'Malley, Manish Bhattarai, Javier E. Santos
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	J	`jnl`	Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
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	J	`jnl`	Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
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	—	`conf`	Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. HPEC Manish Bhattarai, Javier E. Santos, Shawn M. Jones, Ayan Biswas, Boian S. Alexandrov, Daniel O'Malley
2024	J	`jnl`	Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. CoRR Manish Bhattarai, Javier E. Santos, Shawn M. Jones, Ayan Biswas, Boian S. Alexandrov, Daniel O'Malley
2024	J	`jnl`	Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation. CoRR Manish Bhattarai, Minh Vu, Javier E. Santos, Ismael Boureima, Daniel O'Malley
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	J	`jnl`	LaFA: Latent Feature Attacks on Non-negative Matrix Factorization. CoRR Minh N. Vu, Ben Nebgen, Erik Skau, Geigh Zollicoffer, Juan Castorena, Kim Ø. Rasmussen, Boian S. Alexandrov, Manish Bhattarai
2024	J	`jnl`	LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. CoRR Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai
2024	J	`jnl`	Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty. CoRR Roman Colman, Minh Vu, Manish Bhattarai, Martin Ma, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos
2024	C	`conf`	Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. ICMLA Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai
2024	J	`jnl`	Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. CoRR Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai
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
2024	J	`jnl`	Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework. CoRR Geigh Zollicoffer, Kshitij Bhatta, Manish Bhattarai, Phil Romero, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin
2023	J	`jnl`	Distributed non-negative RESCAL with automatic model selection for exascale data. J. Parallel Distributed Comput. Manish Bhattarai, Namita Kharat, Ismael Boureima, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
2023	J	`jnl`	Examining DNA breathing with pyDNA-EPBD. Bioinform. Anowarul Kabir, Manish Bhattarai, Kim Ø. Rasmussen, Amarda Shehu, Anny Usheva, Alan R. Bishop, Boian S. Alexandrov
2023	J	`jnl`	General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization. DTRAP Maksim Ekin Eren, Juston S. Moore, Erik Skau, Elisabeth Moore, Manish Bhattarai, Gopinath Chennupati, Boian S. Alexandrov
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`	MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. ISI Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2023	J	`jnl`	MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. CoRR Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2023	J	`jnl`	Matrix Diagonalization as a Board Game: Teaching an Eigensolver the Fastest Path to Solution. CoRR Philip Romero, Manish Bhattarai, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin
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
2023	J	`jnl`	Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. ACM Trans. Priv. Secur. Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
2023	J	`jnl`	Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. CoRR Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
2022	J	`jnl`	Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. CoRR Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
2022	—	`conf`	Distributed Out-of-Memory SVD on CPU/GPU Architectures. HPEC Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
2022	J	`jnl`	Distributed Out-of-Memory SVD on CPU/GPU Architectures. CoRR Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
2022	J	`jnl`	Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data. CoRR Manish Bhattarai, Namita Kharat, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
2022	J	`jnl`	FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. CoRR Maksim Ekin Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
2022	C	`conf`	One-Shot Federated Group Collaborative Filtering. ICMLA Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
2022	J	`jnl`	SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection. CoRR Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
2022	B	`conf`	SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. DocEng Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
2021	—	`conf`	A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments. ICAART (2) Manish Bhattarai, Manel Martínez-Ramón
2021	J	`jnl`	Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization. IEEE Access Raviteja Vangara, Manish Bhattarai, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Valentin G. Stanev, Boian S. Alexandrov
2021	J	`jnl`	Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments. CoRR Manish Bhattarai
2021	—	`conf`	Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition. EuroVis (Short Papers) Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens
2021	—	`conf`	Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization. ICCABS Kazi Lutful Kabir, Manish Bhattarai, Boian S. Alexandrov, Amarda Shehu
2020	J	`jnl`	A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting. IEEE Access Manish Bhattarai, Manel Martínez-Ramón
2020	J	`jnl`	A Novel Indoor Positioning System for unprepared firefighting scenarios. CoRR Vamsi Karthik Vadlamani, Manish Bhattarai, Meenu Ajith, Manel Martínez-Ramón
2020	J	`jnl`	A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments. CoRR Manish Bhattarai, Manel Martínez-Ramón
2020	C	`conf`	An embedded deep learning system for augmented reality in firefighting applications. ICMLA Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón
2020	J	`jnl`	An embedded deep learning system for augmented reality in firefighting applications. CoRR Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón
2020	—	`conf`	Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. CVPR Workshops Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg
2020	J	`jnl`	Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. CoRR Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg
2020	—	`conf`	Distributed Non-Negative Tensor Train Decomposition. HPEC Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov
2020	J	`jnl`	Distributed Non-Negative Tensor Train Decomposition. CoRR Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov
2020	—	`conf`	Learning Spatial Relationships between Samples of Patent Image Shapes. CVPR Workshops Juan Castorena, Manish Bhattarai, Diane Oyen
2020	J	`jnl`	Learning Spatial Relationships between Samples of Patent Image Shapes. CoRR Juan Castorena, Manish Bhattarai, Diane Oyen
2020	C	`conf`	Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling. ICMLA Raviteja Vangara, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Manish Bhattarai, Valentin G. Stanev, Boian S. Alexandrov
2019	J	`jnl`	Detection and Identification of Objects and Humans in Thermal Images. CoRR Manish Bhattarai, Manel Martínez-Ramón