Rafael Ballester-Ripoll

Gaudenz Halter

Vis. Comput., April, 2024

Computing Statistical Moments Via Tensorization of Polynomial Chaos Expansions.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, 2024

2023

The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., August, 2023

2022

Computing Sobol indices in probabilistic graphical models.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2022

tntorch: Tensor Network Learning with PyTorch.

[BibT_eX]

[DOI]

Mikhail Usvyatsov

Konrad Schindler

J. Mach. Learn. Res., 2022

Tensor approximation of cooperative games and their semivalues.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks.

[BibT_eX]

[DOI]

Artyom Nikitin

Andrei Chertkov

Ivan V. Oseledets

Evgeny Frolov

CoRR, 2022

You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

T4DT: Tensorizing Time for Learning Temporal 3D Visual Data.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Global sensitivity analysis in probabilistic graphical models.

[BibT_eX]

[DOI]

CoRR, 2021

SenVis: Interactive Tensor-based Sensitivity Visualization.

[BibT_eX]

[DOI]

Haiyan Yang

Comput. Graph. Forum, 2021

Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation.

[BibT_eX]

[DOI]

Mikhail Usvyatsov

Anastasia Makarova

Maxim V. Rakhuba

Andreas Krause

Konrad Schindler

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

TTHRESH: Tensor Compression for Multidimensional Visual Data.

[BibT_eX]

[DOI]

Peter Lindstrom

IEEE Trans. Vis. Comput. Graph., 2020

2019

Tensor Decompositions for Integral Histogram Compression and Look-Up.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2019

Sobol tensor trains for global sensitivity analysis.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2019

VIAN: A Visual Annotation Tool for Film Analysis.

[BibT_eX]

[DOI]

Gaudenz Halter

Barbara Flückiger

Comput. Graph. Forum, 2019

Tensor Methods for Global Sensitivity Analysis.

[BibT_eX]

[DOI]

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018

SGEMM GPU kernel performance.

[BibT_eX]

[DOI]

Dataset, February, 2018

Multiresolution Volume Filtering in the Tensor Compressed Domain.

[BibT_eX]

[DOI]

David Steiner

IEEE Trans. Vis. Comput. Graph., 2018

Tensor Algorithms for Advanced Sensitivity Metrics.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, 2018

Visualization of High-dimensional Scalar Functions Using Principal Parameterizations.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Tensor Approximation of Advanced Metrics for Sensitivity Analysis.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Lossy volume compression using Tucker truncation and thresholding.

[BibT_eX]

[DOI]

Vis. Comput., 2016

A surrogate visualization model using the tensor train format.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016, 2016

Compressing Bidirectional Texture Functions via Tensor Train Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 24th Pacific Conference on Computer Graphics and Applications, 2016

2015

Analysis of tensor approximation for compression-domain volume visualization.

[BibT_eX]

[DOI]

Susanne K. Suter

Comput. Graph., 2015

2013

Period Selection for Minimal Hyperperiod in Periodic Task Systems.

[BibT_eX]

[DOI]

Ismael Ripoll