Publications

Journal Articles

Conference Articles

Workshops/Minisymposia

Talks

  • Evrim Acar (Plenary talk), “Coupled Matrix and Tensor Factorizations – improving our understanding of complex systems through the analysis of temporal and multimodal data”, SIAM Conference on Applied Linear Algebra, Paris, France, May 13-17, 2024

  • Lu Li (Minisymposium talk), “From Static to Dynamic Biomarkers: Analysis of Time-Resolved Metabolomics Data Using (coupled) Tensor Decompositions”, SIAM Conference on Applied Linear Algebra, Paris, France, May 13-17, 2024

  • Evrim Acar, “Extracting Insights from complex data: (Coupled) Tensor Factorizations & Applications, TrACEr Workshop, Oslo, Norway, April 22-23, 2024

  • Lu Li, “From static to dynamic, how to analyze postprandial metabolomics data?”, TrACEr Workshop, Oslo, Norway, April 22-23, 2024

  • Christos Chatzis (Contributed talk) “A time-aware tensor decomposition for concept evolution“, GAMM Annual Meeting, Magdeburg, Germany, March 18-22, 2024

  • Lu Li (Contributed talk) “From static to dynamic, how to analyze postprandial metabolomics data?”, Nordic Metabolomics Conference, Trondheim, Norway, October 18-20, 2023

  • Carla Schenker (Minisymposium talk) “PARAFAC2-Based Coupled Matrix and Tensor Factorizations with Constraints”, ICIAM, August 20-25, 2023

  • Evrim Acar (Seminar) ”Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations”, Acceleration and Extrapolation Methods, ICERM, Brown University, Providence, RI, July 24-28, 2023

  • Carla Schenker (Minisymposium talk) “Fusing Dynamic and Static Data Using Parafac2-Based Coupled Matrix and Tensor Factorizations”, SIAM Conference on Computational Science and Engineering, Amsterdam, Netherlands, Feb 26-March 3, 2023

  • Evrim Acar (Seminar) “Extracting Insights from Complex Data: Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations“, IPAM Workshop on Explainable AI for the Sciences: Towards Novel Insights, Jan 9-13, 2023

  • Evrim Acar (Seminar) “Extracting Insights from Complex Data: Data Mining using Tensor Factorizations”, SILS (Swammerdam Institute for Life Sciences) Data Science Symposium, Amsterdam, Netherlands, December 5, 2022

  • Evrim Acar (Seminar) “Constrained Multi-Modal Data Mining“, BigInsight Seminar, University of Oslo, Oslo, Norway, November 9, 2022

  • Lu Li (Contributed talk) “Analyzing postprandial metabolomics data using multiway models: A simulation study”, Annual NORBIS Conference, Rosendal, Norway, October 24-28, 2022

  • Shi Yan (Contributed talk) “Characterizing postprandial metabolomics response using multiway data analysis”, Annual NORBIS Conference, Rosendal, Norway, October 24-28, 2022

  • Evrim Acar (Minisymposium talk) “Constrained Multi-Modal Data Mining Using Coupled Matrix and Tensor Factorizations”, SIAM Conference on Mathematics of Data Science, Sept 26-30, 2022

  • Lu Li (Contributed talk) “Analyzing postprandial metabolomics data using multiway models: A simulation study”, Norwegian Bioinformatics Day, Norway, Sept 28-30, 2022

  • Lu Li (Contributed talk) “Analyzing postprandial metabolomics data using multiway models: A simulation study”, Nordic Metabolomics Conference, Copenhagen, Denmark, September 6-9, 2022

  • Lu Li (Contributed talk) “Analyzing postprandial metabolomics data using multiway models: A simulation study”, NuGOweek, Tarragona, Spain, August 29-September 1, 2022

  • Evrim Acar (Seminar) “A Flexible Framework for Coupled Matrix/Tensor Factorizations”, TRICAP, June 27 - July 1, 2022

  • Age K. Smilde (Seminar) “Common, local and distinct components in multiblock models: overview and challenges”, TRICAP, June 27- July 1, 2022.

  • Marie Roald (Minisymposum talk) “Fully Constrained PARAFAC2 with AO-ADMM”, SIAM Conference on Parallel Processing for Scientific Computing, February 23-26, 2022

  • Age K. Smilde (Invited talk) “Exploring dynamic metabolomics data with multiway data analysis: A simulation study”, Metabolomics Circle 2021, Poland, Nov 18, 2021

  • Evrim Acar (Invited session talk) “A Flexible Optimization Framework for Regularized Matrix Tensor Factorizations with Linear Couplings”, Asilomar Conference on Signals, Systems, and Computers, Nov 3, 2021

  • Jeremy E. Cohen (Minisymposium talk) “A Flexible Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorizations based on the Alternating Direction Method of Multipliers”, 18th Workshop on Advances in Continuous Optimization (EUROPT 2021), July 7-9, 2021

  • Evrim Acar (Invited seminar) “From Data Mining using Tensor Factorizations to Multimodal Data Mining using Coupled Matrix/Tensor Factorizations”, Nordic Probabilistic AI School, June 16, 2021

  • Lu Li (Contributed talk) “Exploring Dynamic Metabolomics Data With Multiway Data Analysis: a Simulation Study”, SIAM Conference on Applications of Dynamical Systems, May 23, 2021

  • Marie Roald (Contributed talk) “Tracing Dynamic Networks through Constrained PARAFAC2 Decomposition”, SIAM Conference on Applied Linear Algebra, May 20, 2021

  • Carla Schenker (Minisymposium talk) “An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization”, SIAM Conference on Applied Linear Algebra, May 19, 2021

  • Evrim Acar (Invited seminar) Multi-Modal Data Mining using Coupled Matrix/Tensor Factorizations, Tufts TRIPODS Seminar, November 13, 2020

Posters

  • Lu Li, "Fusion of static and dynamic metabolomics challenge test data: Capturing metabolic differences between fasting and postprandial states”, Nordic AI Meet, Copenhagen, Denmark, October 2-3, 2023

  • Lu Li, "Fusion of static and dynamic metabolomics challenge test data: Capturing metabolic differences between fasting and postprandial states”, NuGOWeek, Senigallia, Italy, September 5-8, 2023

  • Shi Yan, “Characterizing postprandial metabolic response using multi-way data analysis”, Norwegian Bioinformatics Day, Norway, Sept 28-30, 2022

  • Lu Li, “Revealing dynamic changes in metabolism through the analysis of postprandial metabolomics data: A simulation study”, 18th Annual Conference of the Metabolomics Society: Metabolomics, Valencia, Spain, June 19-23, 2022

  • Marie Roald, “Understanding the Dynamics of Complex Systems through Time-Evolving Data Mining”, Doctoral Forum Poster Session at SIAM International Conference on Data Mining, 2021