Manish Bhattarai

@lanl.gov

Staff Scientist/ Theoretical division
Los alamos National laboratory

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computational Theory and Mathematics
932

Scholar Citations

15

Scholar h-index

24

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Sanity Checks for Long-Form Hallucination Detection
    G Zollicoffer, M Vu, H Zhan, R Li, M Bhattarai
    arXiv preprint arXiv:2605.08346 , 2026
    2026
  • Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning
    M Bhattarai, I Boureima, NR Ranasinghe, S Pakin, D O'Malley
    arXiv preprint arXiv:2605.08061 , 2026
    2026
    Citations: 1
  • Benchmarking Large Language Models with Integer Sequence Generation Tasks
    D O'Malley, M Bhattarai, N Ranasinghe, E Draayer, J E Santos
    Advances in Neural Information Processing Systems 38 , 2026
    2026
    Citations: 1
  • Efficient Selection of Salient Timesteps in Scientific Simulations
    R Bujack, J Pulido, M Bhattarai, DH Rogers
    Electronic Imaging 38, 1-10 , 2026
    2026
  • Trustworthy agentic AI requires deterministic architectural boundaries
    M Bhattarai, M Vu
    arXiv preprint arXiv:2602.09947 , 2026
    2026
    Citations: 3
  • Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
    P Kunwar, M Vu, M Gupta, M Bhattarai
    arXiv preprint arXiv:2601.10045 , 2026
    2026
  • TT-LoRA MoE: Using Parameter-Efficient Fine-Tuning and Sparse Mixture-Of-Experts
    P Kunwar, MN Vu, M Gupta, M Abdelsalam, M Bhattarai
    Proceedings of the International Conference for High Performance Computing … , 2025
    2025
    Citations: 8
  • PAS: Prelim Attention Score for Detecting Object Hallucinations in Large Vision--Language Models
    N Hoang-Xuan, M Vu, MT Thai, M Bhattarai
    arXiv preprint arXiv:2511.11502 , 2025
    2025
  • LaFA: Latent feature attacks on non-negative matrix factorization
    M Vu, B Nebgen, E Skau, G Zollicoffer, J Castorena, K Rasmussen, ...
    2025 IEEE International Conference on Data Mining Workshops (ICDMW), 2301-2309 , 2025
    2025
    Citations: 1
  • HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling
    M Vu, BK Tran, SA Shah, G Zollicoffer, N Hoang-Xuan, M Bhattarai
    arXiv preprint arXiv:2509.10753 , 2025
    2025
    Citations: 2
  • Lost in ocr translation? vision-based approaches to robust document retrieval
    A Most, J Winjum, M Bhattarai, S Jones, NR Ranasinghe, A Biswas, ...
    Proceedings of the 2025 ACM Symposium on Document Engineering, 1-10 , 2025
    2025
    Citations: 12
  • MTRE: Multi-Token Reliability Estimation for Hallucination Detection in VLMs
    G Zollicoffer, M Vu, M Bhattarai
    arXiv preprint arXiv:2505.11741 , 2025
    2025
    Citations: 3
  • HEAL: hierarchical embedding alignment loss for improved retrieval and representation learning
    M Bhattarai, R Barron, M Eren, M Vu, V Grantcharov, I Boureima, V Stanev, ...
    Proceedings of the 4th International Workshop on Knowledge-Augmented Methods … , 2025
    2025
    Citations: 9
  • Enhancing cross-language code translation via task-specific embedding alignment in retrieval-augmented generation
    M Bhattarai, M Vu, JE Santos, I Boureima, D O’Malley
    Proceedings of the 4th International Workshop on Knowledge-Augmented Methods … , 2025
    2025
    Citations: 7
  • ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement
    M Bhattarai, M Cordova, M Vu, J Santos, I Boureima, D O'Malley
    arXiv preprint arXiv:2504.20434 , 2025
    2025
    Citations: 6
  • Lorid: Low-rank iterative diffusion for adversarial purification
    G Zollicoffer, MN Vu, B Nebgen, J Castorena, B Alexandrov, M Bhattarai
    Proceedings of the AAAI Conference on Artificial Intelligence 39 (21), 23081 … , 2025
    2025
    Citations: 12
  • Topological signatures of adversaries in multimodal alignments
    M Vu, G Zollicoffer, H Mai, B Nebgen, B Alexandrov, M Bhattarai
    arXiv preprint arXiv:2501.18006 , 2025
    2025
    Citations: 3
  • Contribution of DNA breathing to physical interactions with transcription factors
    W Butt, B Lai, TP Chiu, M Bhattarai, S Qian, AR Bishop, J Duan, ...
    bioRxiv , 2025
    2025
  • Patchfinder: Leveraging visual language models for accurate information retrieval using model uncertainty
    R Colman, M Vu, M Bhattarai, M Ma, H Viswanathan, D O'Malley, J Santos
    Proceedings of the Winter Conference on Applications of Computer Vision … , 2025
    2025
    Citations: 3
  • Domain-specific retrieval-augmented generation using vector stores, knowledge graphs, and tensor factorization
    RC Barron, V Grantcharov, S Wanna, ME Eren, M Bhattarai, N Solovyev, ...
    2024 International Conference on Machine Learning and Applications (ICMLA … , 2024
    2024
    Citations: 50

MOST CITED SCHOLAR PUBLICATIONS

  • Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease
    A Abrol, M Bhattarai, A Fedorov, Y Du, S Plis, V Calhoun, ...
    Journal of neuroscience methods 339, 108701 , 2020
    2020
    Citations: 222
  • Finding the number of latent topics with semantic non-negative matrix factorization
    R Vangara, M Bhattarai, E Skau, G Chennupati, H Djidjev, T Tierney, ...
    IEEE access 9, 117217-117231 , 2021
    2021
    Citations: 55
  • A deep learning framework for detection of targets in thermal images to improve firefighting
    M Bhattarai, M Martinez-Ramon
    IEEE access 8, 88308-88321 , 2020
    2020
    Citations: 55
  • An embedded deep learning system for augmented reality in firefighting applications
    M Bhattarai, AR Jensen-Curtis, M MartíNez-Ramón
    2020 19th IEEE International Conference on Machine Learning and Applications … , 2020
    2020
    Citations: 52
  • Domain-specific retrieval-augmented generation using vector stores, knowledge graphs, and tensor factorization
    RC Barron, V Grantcharov, S Wanna, ME Eren, M Bhattarai, N Solovyev, ...
    2024 International Conference on Machine Learning and Applications (ICMLA … , 2024
    2024
    Citations: 50
  • Enhancing code translation in language models with few-shot learning via retrieval-augmented generation
    M Bhattarai, JE Santos, S Jones, A Biswas, B Alexandrov, D O'Malley
    2024 IEEE High Performance Extreme Computing Conference (HPEC), 1-8 , 2024
    2024
    Citations: 43
  • Semantic nonnegative matrix factorization with automatic model determination for topic modeling
    R Vangara, E Skau, G Chennupati, H Djidjev, T Tierney, JP Smith, ...
    2020 19th IEEE International Conference on Machine Learning and Applications … , 2020
    2020
    Citations: 30
  • DNA breathing integration with deep learning foundational model advances genome-wide binding prediction of human transcription factors
    A Kabir, M Bhattarai, S Peterson, Y Najman-Licht, KØ Rasmussen, ...
    Nucleic Acids Research 52 (19), e91-e91 , 2024
    2024
    Citations: 29
  • One-shot federated group collaborative filtering
    ME Eren, M Bhattarai, N Solovyev, LE Richards, R Yus, C Nicholas, ...
    2022 21st IEEE International Conference on Machine Learning and Applications … , 2022
    2022
    Citations: 29
  • Distributed non-negative tensor train decomposition
    M Bhattarai, G Chennupati, E Skau, R Vangara, H Djidjev, BS Alexandrov
    2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-10 , 2020
    2020
    Citations: 26
  • Tensor train low-rank approximation (tt-lora): Democratizing ai with accelerated llms
    A Anjum, ME Eren, I Boureima, B Alexandrov, M Bhattarai
    2024 International Conference on Machine Learning and Applications (ICMLA … , 2024
    2024
    Citations: 23
  • General-purpose unsupervised cyber anomaly detection via non-negative tensor factorization
    ME Eren, JS Moore, E Skau, E Moore, M Bhattarai, G Chennupati, ...
    Digital Threats: Research and Practice 4 (1), 1-28 , 2023
    2023
    Citations: 20
  • Semi-supervised classification of malware families under extreme class imbalance via hierarchical non-negative matrix factorization with automatic model selection
    ME Eren, M Bhattarai, RJ Joyce, E Raff, C Nicholas, BS Alexandrov
    ACM Transactions on Privacy and Security 26 (4), 1-27 , 2023
    2023
    Citations: 19
  • Diagram image retrieval using sketch-based deep learning and transfer learning
    M Bhattarai, D Oyen, J Castorena, L Yang, B Wohlberg
    Proceedings of the IEEE/CVF conference on computer vision and pattern … , 2020
    2020
    Citations: 17
  • A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments
    M Bhattarai, M MartíNez-Ramón
    Proceedings of the 13th International Conference on Agents and Artificial … , 2021
    2021
    Citations: 16
  • Distributed out-of-memory NMF on CPU/GPU architectures
    I Boureima, M Bhattarai, M Eren, E Skau, P Romero, S Eidenbenz, ...
    The Journal of Supercomputing 80 (3), 3970-3999 , 2024
    2024
    Citations: 15
  • Examining DNA breathing with pyDNA-EPBD
    A Kabir, M Bhattarai, KØ Rasmussen, A Shehu, A Usheva, AR Bishop, ...
    Bioinformatics 39 (11), btad699 , 2023
    2023
    Citations: 13
  • Lost in ocr translation? vision-based approaches to robust document retrieval
    A Most, J Winjum, M Bhattarai, S Jones, NR Ranasinghe, A Biswas, ...
    Proceedings of the 2025 ACM Symposium on Document Engineering, 1-10 , 2025
    2025
    Citations: 12
  • Lorid: Low-rank iterative diffusion for adversarial purification
    G Zollicoffer, MN Vu, B Nebgen, J Castorena, B Alexandrov, M Bhattarai
    Proceedings of the AAAI Conference on Artificial Intelligence 39 (21), 23081 … , 2025
    2025
    Citations: 12
  • Distributed non-negative rescal with automatic model selection for exascale data
    M Bhattarai, I Boureima, E Skau, B Nebgen, H Djidjev, S Rajopadhye, ...
    Journal of Parallel and Distributed Computing 179, 104709 , 2023
    2023
    Citations: 12