Erik Skau

35 papers B 1C 1Misc 2Journal 23Unranked 8
YearRankTypeTitle / Venue / Authors
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
2024 — conf
Accelerated Dempster Shafer Using Tensor Train Representation.
BELIEF
Duc P. Truong, Erik Skau, Cassandra Armstrong, Kari Sentz
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 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 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
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
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 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 — conf
Open world Dempster-Shafer using complementary sets.
ISIPTA
Erik Skau, Cassandra Armstrong, Duc P. Truong, David Gerts, Kari Sentz
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 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
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
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 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
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 — conf
Nonnegative Tensor-Train Low-Rank Approximations of the Smoluchowski Coagulation Equation.
LSSC
Gianmarco Manzini, Erik Skau, Duc Phan Minh Truong, Raviteja Vangara
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
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
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 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
2019 J jnl
Nonnegative Canonical Polyadic Decomposition with Rank Deficient Factors.
CoRR
Boian S. Alexandrov, Derek DeSantis, Gianmarco Manzini, Erik Skau
2018 — conf
A Fast Parallel Algorithm for Convolutional Sparse Coding.
IVMSP
Erik Skau, Brendt Wohlberg
2018 J jnl
Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media.
IEEE Trans. Geosci. Remote. Sens.
Han Wang, Erik Skau, Hamid Krim, Guido Cervone
2018 — conf
Tomographic Reconstruction Via 3D Convolutional Dictionary Learning.
IVMSP
Erik Skau, Cristina Garcia-Cardona
2017 Misc conf
Image classification: A hierarchical dictionary learning approach.
ICASSP
Shahin Mahdizadehaghdam, Liyi Dai, Hamid Krim, Erik Skau, Han Wang
2016 B conf
Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric.
ICIP
Sally Ghanem, Erik Skau, Hamid Krim, Hamilton Scott Clouse, Wesam A. Sakla
2016 Misc conf
Pansharpening via coupled triple factorization dictionary learning.
ICASSP
Erik Skau, Brendt Wohlberg, Hamid Krim, Liyi Dai