The RIKEN AIP – Tensor Learning Team Workshop 2025 on Tensor Representation for Machine Learning
Deep Generative Model in Machine Learning: Theory, Principle and Efficacy in conjunction with ICLR 2025.
International Workshop on CoLoRAI - Connecting Low-Rank Representations in Al in conjunction with AAAI 2025.
Qibin Zhao gave a talk at 31st Prediction Science Seminar.
The 2nd RIKEN AIP – SJTU CS Joint Workshop on Machine Learning and Brain-like Intelligence. (Videos)
Workshop on TMME: Tensor Models for Machine Learning: Empowering Efficiency, lnterpretability, and Reliability in conjunction with IEEE CAI 2024.
[Talk at Mila-Quebec] Tensor network structure search (TN-SS) by Dr. Chao Li. (Slide)
[Tensor Learning Team Seminar] Demystifying Attention Mechanism in Multi-layer Transformer and its application to Better Inference of Large Language Models (LLMs) by Dr. Yuandong Tian, Meta AI Research (FAIR).
[EPFL CIS - RIKEN AIP Joint Seminar]: Efficient Machine Learning with Tensor Networks by Dr. Qibin Zhao.
Second Workshop on Quantum Tensor Networks in Machine Learning In conjunction with NeurIPS 2021.
International Workshop on Tensor Network Representations in Machine Learning In conjunction with IJCAI-2020.
First Workshop on Quantum Tensor Networks in Machine Learning In conjunction with NeurIPS 2020.
[ACML 2020 Tutorial] Tensor Networks in Machine Learning: Recent Advances and Frontiers by Dr. Qibin Zhao. (Slide)
[1st AIP Open Seminar] Talks by Tensor Learning Team.
Tensor Network Representation for Machine Learning - Recent Advances and Perspectives.
Waseda University Lectures
Lecture 1: Multilinear Algebra and Tensor Decompositions.
Lecture 2: Tensor Networks.
Lecture 3: Tensor Methods for Signal Processing and Machine Learning.
Lecture 1: Tensor Factorization and Tensor Networks for Machine Learning.
Lecture 2: Interpretable and Adversarial Machine Learning.