Manish Bhattarai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 48

Top Topics

Automatic Model Selection

Matrix Factorization

Top Venues

Publications

Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. CoRR (2024)
Geigh Zollicoffer, Kshitij Bhatta, Manish Bhattarai, Phil Romero, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin
Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework. CoRR (2024)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. 80 (3) (2024)
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. CoRR (2024)
Ismael Boureima, Manish Bhattarai, Maksim Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. 80 (4) (2024)
Kshitij Bhatta, Geigh Zollicoffer, Manish Bhattarai, Phil Romero, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization. CoRR (2024)
Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alcxandrov, Charles Nicholas
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. ISDFS (2024)
Ryan Barron, Maksim Eken Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. CoRR (2024)
Manish Bhattarai, Javier E. Santos, Shawn Jones, Ayan Biswas, Boian S. Alexandrov, Daniel O'Malley
Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. CoRR (2024)
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. ISDFS (2024)
Selma Wanna, Ryan Barron, Nick Solovyev, Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs. CoRR (2024)
Anowarul Kabir, Manish Bhattarai, Kim Ø. Rasmussen, Amarda Shehu, Anny Usheva, Alan R. Bishop, Boian S. Alexandrov
Examining DNA breathing with pyDNA-EPBD. Bioinform. 39 (10) (2023)
Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. ISI (2023)
Manish Bhattarai, Namita Kharat, Ismael Boureima, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
Distributed non-negative RESCAL with automatic model selection for exascale data. J. Parallel Distributed Comput. 179 (2023)
Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. ACM Trans. Priv. Secur. 26 (4) (2023)
Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. ICMLA (2023)
Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Ben Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov
Robust Adversarial Defense by Tensor Factorization. ICMLA (2023)
Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Benjamin T. Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov
Robust Adversarial Defense by Tensor Factorization. CoRR (2023)
Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. CoRR (2023)
Philip Romero, Manish Bhattarai, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin
Matrix Diagonalization as a Board Game: Teaching an Eigensolver the Fastest Path to Solution. CoRR (2023)
Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. CoRR (2023)
Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. CoRR (2023)
Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection. CoRR (2022)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. CoRR (2022)
Maksim Ekin Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. CoRR (2022)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Out-of-Memory SVD on CPU/GPU Architectures. CoRR (2022)
Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. DocEng (2022)
Manish Bhattarai, Namita Kharat, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data. CoRR (2022)
Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
One-Shot Federated Group Collaborative Filtering. ICMLA (2022)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Out-of-Memory SVD on CPU/GPU Architectures. HPEC (2022)
Manish Bhattarai, Manel Martínez-Ramón
A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments. ICAART (2) (2021)
Manish Bhattarai
Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments. CoRR (2021)
Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens
Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition. EuroVis (Short Papers) (2021)
Raviteja Vangara, Manish Bhattarai, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Valentin G. Stanev, Boian S. Alexandrov
Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization. IEEE Access 9 (2021)
Kazi Lutful Kabir, Manish Bhattarai, Boian S. Alexandrov, Amarda Shehu
Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization. ICCABS (2021)
Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón
An embedded deep learning system for augmented reality in firefighting applications. CoRR (2020)
Manish Bhattarai, Manel Martínez-Ramón
A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments. CoRR (2020)
Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón
An embedded deep learning system for augmented reality in firefighting applications. ICMLA (2020)
Juan Castorena, Manish Bhattarai, Diane Oyen
Learning Spatial Relationships between Samples of Patent Image Shapes. CoRR (2020)
Vamsi Karthik Vadlamani, Manish Bhattarai, Meenu Ajith, Manel Martínez-Ramón
A Novel Indoor Positioning System for unprepared firefighting scenarios. CoRR (2020)
Raviteja Vangara, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Manish Bhattarai, Valentin G. Stanev, Boian S. Alexandrov
Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling. ICMLA (2020)
Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Non-Negative Tensor Train Decomposition. HPEC (2020)
Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. CoRR (2020)
Juan Castorena, Manish Bhattarai, Diane Oyen
Learning Spatial Relationships between Samples of Patent Image Shapes. CVPR Workshops (2020)
Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Non-Negative Tensor Train Decomposition. CoRR (2020)
Manish Bhattarai, Manel Martínez-Ramón
A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting. IEEE Access 8 (2020)
Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. CVPR Workshops (2020)
Manish Bhattarai, Manel Martínez-Ramón
Detection and Identification of Objects and Humans in Thermal Images. CoRR (2019)