Erik Skau

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Matrix Factorization

International Trade

Dempster Shafer

Top Venues

J. Supercomput.

Publications

Duc P. Truong, Erik Skau, Cassandra Armstrong, Kari Sentz
Accelerated Dempster Shafer Using Tensor Train Representation. BELIEF (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)
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)
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)
Erik Skau, Cassandra Armstrong, Duc P. Truong, David Gerts, Kari Sentz
Open world Dempster-Shafer using complementary sets. ISIPTA (2023)
Derek DeSantis, Erik Skau, Duc P. Truong, Boian S. Alexandrov
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition. ACM Trans. Knowl. Discov. Data 16 (6) (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)
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)
Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. CoRR (2022)
Erik Skau, Andrew Hollis, Stephan J. Eidenbenz, Kim Ø. Rasmussen, Boian S. Alexandrov
Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection. CoRR (2022)
Duc P. Truong, Erik Skau, Derek DeSantis, Boian S. Alexandrov
Boolean Matrix Factorization via Nonnegative Auxiliary Optimization. CoRR (2021)
Duc P. Truong, Erik Skau, Derek DeSantis, Boian S. Alexandrov
Boolean Matrix Factorization via Nonnegative Auxiliary Optimization. IEEE Access 9 (2021)
Giancarlo Sanchez, Erik Skau, Boian S. Alexandrov
Automatic Model Determination for Quaternion NMF. IEEE Access 9 (2021)
Gianmarco Manzini, Erik Skau, Duc P. Truong, Raviteja Vangara
Nonnegative Tensor-Train Low-Rank Approximations of the Smoluchowski Coagulation Equation. LSSC (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)
Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. LSSC (2021)
Duc P. Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov
Determination of latent dimensionality in international trade flow. Mach. Learn. Sci. Technol. 1 (4) (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)
Duc P. Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov
Determination of Latent Dimensionality in International Trade Flow. CoRR (2020)
Gopinath Chennupati, Raviteja Vangara, Erik Skau, Hristo N. Djidjev, Boian S. Alexandrov
Distributed non-negative matrix factorization with determination of the number of latent features. J. Supercomput. 76 (9) (2020)
Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Non-Negative Tensor Train Decomposition. HPEC (2020)
Hector Carrillo-Cabada, Erik Skau, Gopinath Chennupati, Boian S. Alexandrov, Hristo N. Djidjev
An Out of Memory tSVD for Big-Data Factorization. IEEE Access 8 (2020)
Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Non-Negative Tensor Train Decomposition. CoRR (2020)
Derek DeSantis, Erik Skau, Boian S. Alexandrov
Factorizations of Binary Matrices - Rank Relations and the Uniqueness of Boolean Decompositions. CoRR (2020)
Boian S. Alexandrov, Derek DeSantis, Gianmarco Manzini, Erik Skau
Nonnegative Canonical Polyadic Decomposition with Rank Deficient Factors. CoRR (2019)
Erik Skau, Cristina Garcia-Cardona
Tomographic Reconstruction Via 3D Convolutional Dictionary Learning. IVMSP (2018)
Erik Skau, Brendt Wohlberg
A Fast Parallel Algorithm for Convolutional Sparse Coding. IVMSP (2018)
Han Wang, Erik Skau, Hamid Krim, Guido Cervone
Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media. IEEE Trans. Geosci. Remote. Sens. 56 (12) (2018)
Shahin Mahdizadehaghdam, Liyi Dai, Hamid Krim, Erik Skau, Han Wang
Image classification: A hierarchical dictionary learning approach. ICASSP (2017)
Sally Ghanem, Erik Skau, Hamid Krim, Hamilton Scott Clouse, Wesam Sakla
Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric. ICIP (2016)
Erik Skau, Brendt Wohlberg, Hamid Krim, Liyi Dai
Pansharpening via coupled triple factorization dictionary learning. ICASSP (2016)