Quick Overview: Authors: Mao-Lin Li, Maria Luisa Sapino and K. Selcuk Candan. The Data Science Institute (DSI) hosted a seminar by Joyce Ho from Emory University on July 28, 2023. Read more about the DSI ... Recorded 28 November 2022. Hanbaek Lyu of the University of Wisconsin-Madison presents "Mesoscale reconstruction of ...

Monday Webinar Generalized Tensor Decomposition - Detailed Overview & Context

Authors: Mao-Lin Li, Maria Luisa Sapino and K. Selcuk Candan. The Data Science Institute (DSI) hosted a seminar by Joyce Ho from Emory University on July 28, 2023. Read more about the DSI ... Recorded 28 November 2022. Hanbaek Lyu of the University of Wisconsin-Madison presents "Mesoscale reconstruction of ... Jeremy Charlier (university of Luxembourg) and Vladimir Makarenkov (UQAM). JMM 2018: Tamara G. Kolda, Sandia National Laboratories, gives the SIAM Invited Address on " by Miao Yin You can visit the Workshop's webpage here: .

Invited talk in Current and Future Computational Approaches to Quantum Many-Body Systems 2026 (CompQMB2026) Location: ... Short talks by postdoctoral members Topic: Analysis and design of convolutional networks via hierarchical This talk was part of the Workshop on "Adaptivity, High Dimensionality and Randomness" held at the ESI April 4 to 8, 2022.

Photo Gallery

Monday Webinar - Generalized Tensor Decomposition.  Utility for Data Analysis
SISAP 2020: GTT: Guiding the Tensor Train Decomposition
Applied Linear Algebra:  Tensor Decompositions
DSI | Tensor Factorization for Biomedical Representation Learning
Hanbaek Lyu - Mesoscale reconstruction of images and networks using tensor decomposition
VecHGrad for solving accurately tensor decomposition
Tensor Decomposition, Sparse Representations and Applications
Tamara G. Kolda: "Tensor Decomposition"
spotlight 6: Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition
Tensor Decompositions: A Quick Tour of Illustrative Applications
Nick Vannieuwenhoven: "Sensitivity of tensor decompositions"
Multi-Tensor Decompositions for Personalized Cancer Diagnostics, Prognostics, and Therapeutics
Sponsored
Sponsored
View Main Result
Sponsored
Sponsored