Boian S. Alexandrov

108 papers A* 2B 4C 9Journal 77Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Tensor Train-Based Isogeometric Solver for Large-Scale 3D Poisson Problems on Complex Geometries. CoRR Quoc Thai Tran, Duc P. Truong, Kim Ø. Rasmussen, Boian S. Alexandrov
2025	C	`conf`	Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization. ICAIL Ryan Calvin Barron, Maksim Ekin Eren, Olga M. Serafimova, Cynthia Matuszek, Boian S. Alexandrov
2025	J	`jnl`	Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization. CoRR Ryan Barron, Maksim Ekin Eren, Olga M. Serafimova, Cynthia Matuszek, Boian S. Alexandrov
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	J	`jnl`	Matrix Factorization for Inferring Associations and Missing Links. CoRR Ryan Barron, Maksim Ekin Eren, Duc P. Truong, Cynthia Matuszek, James Wendelberger, Mary F. Dorn, Boian S. Alexandrov
2025	J	`jnl`	Space-Time Spectral Collocation Tensor-Network Approach for Maxwell's Equations. CoRR Dibyendu Adak, Rujeko Chinomona, Duc P. Truong, Oleg Korobkin, Kim Ø. Rasmussen, Boian S. Alexandrov
2025	J	`jnl`	Specificity and tunability of efflux pumps: A new role for the proton gradient? PLoS Comput. Biol. Matthew Gerry, Duncan Kirby, Boian S. Alexandrov, Dvira Segal, Anton Zilman
2025	J	`jnl`	Tensor Network Space-Time Spectral Collocation Method for Solving the Nonlinear Convection Diffusion Equation. J. Sci. Comput. Dibyendu Adak, Mustafa Engin Danis, Duc P. Truong, Kim Ø. Rasmussen, Boian S. Alexandrov
2025	J	`jnl`	Tensor-Train Operator Inference. CoRR Mustafa E. Danis, Duc Truong, Kim Ø. Rasmussen, Boian S. Alexandrov
2025	J	`jnl`	Tensor-train WENO scheme for compressible flows. J. Comput. Phys. Mustafa Engin Danis, Duc P. Truong, Ismael Boureima, Oleg Korobkin, Kim Ø. Rasmussen, Boian S. Alexandrov
2025	B	`conf`	Topic Modeling and Link-Prediction for Material Property Discovery. DocEng Ryan C. Barron, Maksim Ekin Eren, Valentin G. Stanev, Cynthia Matuszek, Boian S. Alexandrov
2025	J	`jnl`	Topic Modeling and Link-Prediction for Material Property Discovery. CoRR Ryan Barron, Maksim Ekin Eren, Valentin G. Stanev, Cynthia Matuszek, Boian S. Alexandrov
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	—	`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`	Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization. ACM Trans. Model. Comput. Simul. Erik Skau, Andrew Hollis, Stephan J. Eidenbenz, Kim Ø. Rasmussen, Boian S. Alexandrov
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`	High-order Tensor-Train Finite Volume Method for Shallow Water Equations. CoRR Mustafa Engin Danis, Duc P. Truong, Derek DeSantis, Mark Petersen, 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`	Space-Time Spectral Element Tensor Network Approach for Time Dependent Convection Diffusion Reaction Equation with Variable Coefficients. CoRR Dibyendu Adak, Duc P. Truong, Radoslav G. Vuchkov, Saibal De, Derek DeSantis, Nathan V. Roberts, Kim Ø. Rasmussen, Boian S. Alexandrov
2024	J	`jnl`	Tensor Network Space-Time Spectral Collocation Method for Solving the Nonlinear Convection Diffusion Equation. CoRR Dibyendu Adak, Mustafa Engin Danis, Duc P. Truong, Kim Ø. Rasmussen, Boian S. Alexandrov
2024	J	`jnl`	Tensor Network Space-Time Spectral Collocation Method for Time Dependent Convection-Diffusion-Reaction Equations. CoRR Dibyendu Adak, Duc P. Truong, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov
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	J	`jnl`	Tensor networks for solving the time-independent Boltzmann neutron transport equation. J. Comput. Phys. Duc P. Truong, Mario I. Ortega, Ismael Boureima, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov
2024	J	`jnl`	Tensor-Train WENO Scheme for Compressible Flows. CoRR Mustafa Engin Danis, Duc P. Truong, Ismael Boureima, Oleg Korobkin, Kim Ø. Rasmussen, Boian S. Alexandrov
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
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	—	`conf`	Electrical Grid Anomaly Detection via Tensor Decomposition. MILCOM Alexander Most, Maksim Ekin Eren, Boian S. Alexandrov, Nigel Lawrence
2023	J	`jnl`	Electrical Grid Anomaly Detection via Tensor Decomposition. CoRR Alexander Most, Maksim Ekin Eren, Nigel Lawrence, 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	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
2023	J	`jnl`	Tensor Networks for Solving Realistic Time-independent Boltzmann Neutron Transport Equation. CoRR Duc P. Truong, Mario I. Ortega, Ismael Boureima, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov
2023	—	`conf`	The Tensor-Train Mimetic Finite Difference Method for Three-Dimensional Maxwell's Wave Propagation Equations. LSSC Gianmarco Manzini, Boian S. Alexandrov, Duc Phan Minh Truong, Radoslav G. Vuchkov
2023	J	`jnl`	The tensor-train mimetic finite difference method for three-dimensional Maxwell's wave propagation equations. Math. Comput. Simul. Gianmarco Manzini, Duc Phan Minh Truong, Radoslav G. Vuchkov, 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`	Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition. ACM Trans. Knowl. Discov. Data Derek DeSantis, Erik Skau, Duc Phan Minh Truong, 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	J	`jnl`	Improved Protein Decoy Selection via Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. Nasrin Akhter, Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu
2022	J	`jnl`	Nonnegative canonical tensor decomposition with linear constraints: nnCANDELINC. Numer. Linear Algebra Appl. Boian S. Alexandrov, Derek F. DeSantis, Gianmarco Manzini, Erik W. Skau
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`	Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection. CoRR Erik Skau, Andrew Hollis, Stephan J. Eidenbenz, Kim Ø. Rasmussen, 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
2022	J	`jnl`	Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. CoRR Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
2021	J	`jnl`	Automatic Model Determination for Quaternion NMF. IEEE Access Giancarlo Sanchez, Erik Skau, Boian S. Alexandrov
2021	—	`conf`	Boolean Hierarchical Tucker Networks on Quantum Annealers. LSSC Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
2021	J	`jnl`	Boolean Hierarchical Tucker Networks on Quantum Annealers. CoRR Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
2021	J	`jnl`	Boolean Matrix Factorization via Nonnegative Auxiliary Optimization. IEEE Access Duc Phan Minh Truong, Erik Skau, Derek DeSantis, Boian S. Alexandrov
2021	J	`jnl`	Boolean Matrix Factorization via Nonnegative Auxiliary Optimization. CoRR Duc Phan Minh Truong, Erik Skau, Derek DeSantis, Boian S. Alexandrov
2021	J	`jnl`	COVID-19 Multidimensional Kaggle Literature Organization. CoRR Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
2021	B	`conf`	COVID-19 multidimensional kaggle literature organization. DocEng Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
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`	Quantum Annealing Algorithms for Boolean Tensor Networks. CoRR Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
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
2021	—	`conf`	Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. LSSC Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
2020	J	`jnl`	A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization. CoRR Benjamin T. Nebgen, Raviteja Vangara, Miguel Ángel Hombrados-Herrera, Svetlana Kuksova, Boian S. Alexandrov
2020	J	`jnl`	An Out of Memory tSVD for Big-Data Factorization. IEEE Access Hector Carrillo-Cabada, Erik Skau, Gopinath Chennupati, Boian S. Alexandrov, Hristo N. Djidjev
2020	J	`jnl`	Coarse-Grain Cluster Analysis of Tensors With Application to Climate Biome Identification. CoRR Derek DeSantis, Phillip J. Wolfram, Katrina Bennett, Boian S. Alexandrov
2020	J	`jnl`	Coarse-grain cluster analysis of tensors with application to climate biome identification. Mach. Learn. Sci. Technol. Derek DeSantis, Phillip J. Wolfram, Katrina Bennett, Boian S. Alexandrov
2020	—	`conf`	Decoy Selection in Protein Structure Determination via Symmetric Non-negative Matrix Factorization. BIBM Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov, Amarda Shehu
2020	J	`jnl`	Determination of Latent Dimensionality in International Trade Flow. CoRR Duc Phan Minh Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov
2020	J	`jnl`	Determination of latent dimensionality in international trade flow. Mach. Learn. Sci. Technol. Duc Phan Minh Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov
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	J	`jnl`	Distributed non-negative matrix factorization with determination of the number of latent features. J. Supercomput. Gopinath Chennupati, Raviteja Vangara, Erik Skau, Hristo N. Djidjev, Boian S. Alexandrov
2020	J	`jnl`	Factorizations of Binary Matrices - Rank Relations and the Uniqueness of Boolean Decompositions. CoRR Derek DeSantis, Erik Skau, Boian S. Alexandrov
2020	J	`jnl`	Identification of Anomalous Diffusion Sources by Unsupervised Learning. CoRR Raviteja Vangara, Kim Ø. Rasmussen, Dimiter N. Petsev, Golan Bel, Boian S. Alexandrov
2020	C	`conf`	Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization. ISI Maksim Ekin Eren, Juston S. Moore, Boian S. Alexandrov
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
2020	—	`conf`	Tucker-1 Boolean Tensor Factorization with Quantum Annealers. ICRC Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
2019	—	`conf`	Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures. BIBM Nasrin Akhter, Raviteja Vangara, Gopinath Chennupati, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu
2019	J	`jnl`	Nonnegative Canonical Polyadic Decomposition with Rank Deficient Factors. CoRR Boian S. Alexandrov, Derek DeSantis, Gianmarco Manzini, Erik Skau
2019	J	`jnl`	Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers. Stat. Anal. Data Min. Boian S. Alexandrov, Valentin G. Stanev, Velimir V. Vesselinov, Kim Ø. Rasmussen
2019	J	`jnl`	Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing. J. Comput. Phys. Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov
2018	J	`jnl`	Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing. CoRR Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov
2017	J	`jnl`	Nonnegative/binary matrix factorization with a D-Wave quantum annealer. CoRR Daniel O'Malley, Velimir V. Vesselinov, Boian S. Alexandrov, Ludmil B. Alexandrov
2016	J	`jnl`	Machine learning approach for identification of release sources in advection-diffusion systems. CoRR Valentin G. Stanev, Filip L. Iliev, Velimir V. Vesselinov, Boian S. Alexandrov
2016	J	`jnl`	Sources identification using shifted non-negative matrix factorization combined with semi-supervised clustering. CoRR Filip L. Iliev, Valentin G. Stanev, Velimir V. Vesselinov, Boian S. Alexandrov
2016	J	`jnl`	The role of structural parameters in DNA cyclization. BMC Bioinform. Ludmil B. Alexandrov, Alan R. Bishop, Kim Ø. Rasmussen, Boian S. Alexandrov
2013	J	`jnl`	Binding of Nucleoid-Associated Protein Fis to DNA Is Regulated by DNA Breathing Dynamics. PLoS Comput. Biol. Kristy Nowak-Lovato, Ludmil B. Alexandrov, Afsheen Banisadr, Amy L. Bauer, Alan R. Bishop, Anny Usheva, Fangping Mu, Elizabeth Hong-Geller, Kim Ø. Rasmussen, William S. Hlavacek, Boian S. Alexandrov
2009	J	`jnl`	Toward a Detailed Description of the Thermally Induced Dynamics of the Core Promoter. PLoS Comput. Biol. Boian S. Alexandrov, Vladimir Gelev, Sang Wook Yoo, Alan R. Bishop, Kim Ø. Rasmussen, Anny Usheva