Manish Bhattarai

@lanl.gov

Staff Scientist/ Theoretical division
Los alamos National laboratory



              

https://researchid.co/ceodspspectrum

RESEARCH, TEACHING, or OTHER INTERESTS

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

546

Scholar Citations

11

Scholar h-index

14

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • 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

  • 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, 2025.01. 20.633840 2025

  • 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

  • Efficient High-Throughput DNA Breathing Features Generation Using Jax-EPBD
    TT Inan, A Kabir, K Rasmussen, A Shehu, A Usheva, A Bishop, ...
    bioRxiv, 2024.12. 06.627191 2024

  • Scalable DNA Feature Generation and Transcription Factor Binding Prediction via Deep Surrogate Models
    A Kabir, TT Inan, K Rasmussen, A Shehu, A Usheva, A Bishop, ...
    bioRxiv, 2024.12. 06.626709 2024

  • Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation
    M Bhattarai, M Vu, JE Santos, I Boureima, DO Malley
    arXiv preprint arXiv:2412.05159 2024

  • 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, ...
    arXiv preprint arXiv:2412.04661 2024

  • 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, ...
    arXiv preprint arXiv:2412.02886 2024

  • Benchmarking Large Language Models with Integer Sequence Generation Tasks
    D O'Malley, M Bhattarai, J Santos
    arXiv preprint arXiv:2411.04372 2024

  • 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, K Rasmussen, ...
    Nucleic Acids Research 52 (19), e91-e91 2024

  • LoRID: Low-Rank Iterative Diffusion for Adversarial Purification
    G Zollicoffer, M Vu, B Nebgen, J Castorena, B Alexandrov, M Bhattarai
    arXiv preprint arXiv:2409.08255 2024

  • TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs
    S Wanna, N Solovyev, R Barron, ME Eren, M Bhattarai, K Rasmussen, ...
    Proceedings of the ACM Symposium on Document Engineering 2024, 1-4 2024

  • LaFA: Latent Feature Attacks on Non-negative Matrix Factorization
    M Vu, B Nebgen, E Skau, G Zollicoffer, J Castorena, K Rasmussen, ...
    arXiv preprint arXiv:2408.03909 2024

  • Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs
    A Anjum, ME Eren, I Boureima, B Alexandrov, M Bhattarai
    arXiv preprint arXiv:2408.01008 2024

  • 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
    arXiv preprint arXiv:2407.19619 2024

  • Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection
    R Barron, ME Eren, M Bhattarai, I Boureima, C Matuszek, BS Alexandrov
    arXiv preprint arXiv:2407.19125 2024

  • Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework
    G Zollicoffer, K Bhatta, M Bhattarai, P Romero, CFA Negre, A Niklasson, ...
    arXiv preprint arXiv:2407.00779 2024

  • Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization
    K Bhatta, G Zollicoffer, M Bhattarai, P Romero, CFA Negre, A Niklasson, ...
    arXiv preprint arXiv:2406.16191 2024

  • EPBD-BERT
    A Kabir, M Bhattarai, B Alexandrov, K Rasmussen, A Bishop
    Los Alamos National Laboratory (LANL), Los Alamos, NM (United States) 2024

  • Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization
    R Barron, ME Eren, M Bhattarai, S Wanna, N Solovyev, K Rasmussen, ...
    2024 12th International Symposium on Digital Forensics and Security (ISDFS), 1-6 2024

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
    Citations: 177

  • 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
    Citations: 43

  • An embedded deep learning system for augmented reality in firefighting applications
    M Bhattarai, AR Jensen-Curtis, M MartNez-Ramn
    2020 19th IEEE International Conference on Machine Learning and Applications 2020
    Citations: 43

  • 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
    Citations: 38

  • 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
    Citations: 22

  • 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
    Citations: 22

  • 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
    Citations: 20

  • 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
    Citations: 16

  • A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments
    M Bhattarai, M MartNez-Ramn
    Proceedings of the 13th International Conference on Agents and Artificial 2021
    Citations: 13

  • 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
    Citations: 12

  • 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
    arXiv preprint arXiv:2407.19619 2024
    Citations: 11

  • 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
    Citations: 10

  • Senmfk-split: Large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection
    ME Eren, N Solovyev, M Bhattarai, K Rasmussen, C Nicholas, ...
    Proceedings of the 22nd ACM Symposium on Document Engineering, 1-4 2022
    Citations: 10

  • pyDNMFk: Python Distributed Non Negative Matrix Factorization with determination of hidden features
    M Bhattarai, B Nebgen, E Skau, M Eren, G Chennupati, R Vangara, ...
    https://github.com/lanl/pyDNMFk 2021
    Citations: 10

  • 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
    Citations: 8

  • 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
    Citations: 8

  • Distributed out-of-memory svd on cpu/gpu architectures
    I Boureima, M Bhattarai, ME Eren, N Solovyev, H Djidjev, BS Alexandrov
    2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-8 2022
    Citations: 8

  • Tensor Extraction of Latent Features (TELF)
    M Eren, B Alexandrov, M Bhattarai, K Rasmussen, E Skau, D Truong, ...
    Los Alamos National Laboratory (LANL), Los Alamos, NM (United States) 2024
    Citations: 7

  • Examining DNA breathing with pyDNA-EPBD
    A Kabir, M Bhattarai, K Rasmussen, A Shehu, A Usheva, AR Bishop, ...
    Bioinformatics 39 (11), btad699 2023
    Citations: 7

  • 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
    Citations: 6