Manish Bhattarai
Orcid: 0000-0002-1421-3643
According to our database1,
Manish Bhattarai
authored at least 51 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
CoRR, September, 2025
Diverging Towards Hallucination: Detection of Failures in Vision-Language Models via Multi-token Aggregation.
CoRR, May, 2025
CoRR, May, 2025
CoRR, April, 2025
CoRR, April, 2025
PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval Using Model Uncertainty.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Proceedings of the 2025 ACM Symposium on Document Engineering, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
J. Supercomput., March, 2024
J. Supercomput., February, 2024
Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation.
CoRR, 2024
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning.
CoRR, 2024
CoRR, 2024
Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework.
CoRR, 2024
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization.
CoRR, 2024
Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization.
Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization.
Proceedings of the International Conference on Machine Learning and Applications, 2024
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs.
Proceedings of the International Conference on Machine Learning and Applications, 2024
Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2024
Proceedings of the IEEE High Performance Extreme Computing Conference, 2024
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs.
Proceedings of the ACM Symposium on Document Engineering 2024, 2024
2023
Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection.
ACM Trans. Priv. Secur., November, 2023
J. Parallel Distributed Comput., September, 2023
General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization.
DTRAP, 2023
Matrix Diagonalization as a Board Game: Teaching an Eigensolver the Fastest Path to Solution.
CoRR, 2023
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation.
CoRR, 2022
Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data.
CoRR, 2022
CoRR, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection.
Proceedings of the 22nd ACM Symposium on Document Engineering, 2022
2021
Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments.
CoRR, 2021
IEEE Access, 2021
Proceedings of the 21st Eurographics Conference on Visualization, 2021
Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization.
Proceedings of the Computational Advances in Bio and Medical Sciences: 11th International Conference, 2021
A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
2020
A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting.
IEEE Access, 2020
Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019