[Tensor Learning Team Seminar] - Talk by Dr. José Ramón Pareja Monturiol (Polytechnic University of Madrid) "Tensor Networks for Machine Learning: Models, Applications, and Learning Methods"

Name: [Tensor Learning Team Seminar] - Talk by Dr. José Ramón Pareja Monturiol (Polytechnic University of Madrid) "Tensor Networks for Machine Learning: Models, Applications, and Learning Methods"
Start: 2026-11-13T14:00:00+09:00
End: 2026-11-13T15:00:00+09:00

Seminar on tensor networks for machine learning: privacy, robustness, interpretability, model compression and learning methods.

When: Fri, November 13, 2026 · 14:00–15:00 JST
Where: RIKEN AIP Open Space (AIP members only) and online·Hybrid
Region: Other
Organizer: RIKEN Center for Advanced Intelligence Project
Language: EN
Source: Doorkeeper

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Summary

Dr. José Ramón Pareja Monturiol of the Polytechnic University of Madrid gives a talk on tensor networks for machine learning. He presents approaches to using tensor networks as standalone models, their links to deep learning, and the methods used to learn them. The talk covers his recent work on privacy, adversarial robustness and interpretability, tensorization methods for compressing pretrained models, and learning approaches from direct optimization to tensor decompositions, including extensions beyond matrix product states. In-person attendance at the RIKEN AIP Open Space is limited to AIP members. The talk is also available online.

About the community

The Tensor Learning Team Seminar is a research talk series from the Tensor Learning Team at RIKEN AIP, inviting researchers to present work on tensor methods and machine learning.

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