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PP20 - Edgar Solomonik - Scalable Algorithms for Tensor Computations
Communication Efficient Federated Generalized Tensor Factorization for ...
[CompQMB2026] Tensor Factorization Meets Deformed Information Geometry
Tensor Decomposition based Adaptive Model Reduction
KDD 2023 - Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors
535 D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors
Spotlight Talk: Convolutional Dictionary Learning through Tensor Factorization
Learning Multiple Networks via Supervised Tensor Decomposition
Tensor Decomposition Definitions of Neural Net Architectures
Federated Tensor Factorization for Computational Phenotyping
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Last Updated: September 30, 2026
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Bernard Mourrain, INRIA Sophia Antipolis Mentor: Yixu Yang Team Members: Sheng Wei Pang, Yue Kiat Tan, Clarence Lam, Laurent Aeschbach Paper at: ... A Google TechTalk, 2020/7/30, presented by Li Xiong, Emory University ABSTRACT: SIAM Conference on Parallel Processing for Scientific Computing (PP20) SP2 SIAG/Supercomputing Early Career Prize: Scalable ... Communication Efficient Federated Generalized Invited talk in Current and Future Computational Approaches to Quantum Many-Body Systems 2026 (CompQMB2026) Location: ... This video demonstrates an adaptive model reduction approach based on Jun-Gi Jang, Seoul National University Table of Contents (powered by videoken.com) 0:00:00 [Talk: D-Tucker: Fast and Memory-Efficient Tucker This paper describes complexity theory of neural networks, defined by
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