Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Mowbray, M.
Kay, H.
Kay, S.
Caetano, P. Castro
Hicks, A.
Mendoza, C.
Lane, A.
Martin, P.
and
Zhang, D.
2022.
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes.
Chemometrics and Intelligent Laboratory Systems,
Vol. 228,
Issue. ,
p.
104616.
Stejskal, Tomáš
Svetlík, Jozef
and
Lascsáková, Marcela
2022.
Tensor of Order Two and Geometric Properties of 2D Metric Space.
Mathematics,
Vol. 10,
Issue. 19,
p.
3524.
Fawzi, Alhussein
Balog, Matej
Huang, Aja
Hubert, Thomas
Romera-Paredes, Bernardino
Barekatain, Mohammadamin
Novikov, Alexander
R. Ruiz, Francisco J.
Schrittwieser, Julian
Swirszcz, Grzegorz
Silver, David
Hassabis, Demis
and
Kohli, Pushmeet
2022.
Discovering faster matrix multiplication algorithms with reinforcement learning.
Nature,
Vol. 610,
Issue. 7930,
p.
47.
Kłosko, Jonatan
Benecki, Mateusz
Wcisło, Grzegorz
Dajda, Jacek
and
Turek, Wojciech
2022.
High performance evolutionary computation with tensor-based acceleration.
p.
805.
Eldén, Lars
and
Dehghan, Maryam
2022.
Spectral partitioning of large and sparse 3‐tensors using low‐rank tensor approximation.
Numerical Linear Algebra with Applications,
Vol. 29,
Issue. 5,
Eldén, Lars
and
Dehghan, Maryam
2022.
A Krylov-Schur-like method for computing the best rank-(r1,r2,r3) approximation of large and sparse tensors.
Numerical Algorithms,
Vol. 91,
Issue. 3,
p.
1315.
Malyarenko, Anatoliy
and
Ostoja-Starzewski, Martin
2023.
Tensor- and spinor-valued random fields with applications to continuum physics and cosmology.
Probability Surveys,
Vol. 20,
Issue. none,
Guo, Pei-Chang
2023.
New regularization methods for convolutional kernel tensors.
AIMS Mathematics,
Vol. 8,
Issue. 11,
p.
26188.
Au, Benson
and
Garza-Vargas, Jorge
2023.
Spectral asymptotics for contracted tensor ensembles.
Electronic Journal of Probability,
Vol. 28,
Issue. none,
Dai, Zhen
and
Lim, Lek-Heng
2023.
Numerical stability and tensor nuclear norm.
Numerische Mathematik,
Vol. 155,
Issue. 3-4,
p.
345.
Heaton, Alexander
Kozhasov, Khazhgali
and
venturello, Lorenzo
2023.
Minimality of tensors of fixed multilinear rank.
Linear and Multilinear Algebra,
Vol. 71,
Issue. 8,
p.
1364.
Ergür, Alperen A.
Rebollo Bueno, Jesus
and
Valettas, Petros
2023.
Approximate Real Symmetric Tensor Rank.
Arnold Mathematical Journal,
Vol. 9,
Issue. 4,
p.
455.
Chen, Can
2024.
Tensor-Based Dynamical Systems.
p.
1.
Hu, Shenglong
Sun, Defeng
and
Toh, Kim-Chuan
2024.
Quantifying low rank approximations of third order symmetric tensors.
Mathematical Programming,
Sharma, Ketan
Vasilyev, Oleg A.
Miller, Terry A.
and
Stanton, John F.
2024.
Molecules with Spin and Vibronic Coupling Effects: A Computational Perspective.
Journal of Physics: Conference Series,
Vol. 2769,
Issue. 1,
p.
012002.
Gregersen, Theo
Patel, Pratyush
and
Choukse, Esha
2024.
Input-Dependent Power Usage in GPUs.
p.
1872.
Liu, Dongdong
Vong, Seak-Weng
and
Shen, Li
2024.
Improved uniqueness conditions of solution for multilinear pagerank and its application.
Linear and Multilinear Algebra,
Vol. 72,
Issue. 2,
p.
203.
Vannieuwenhoven, Nick
2024.
The condition number of singular subspaces, revisited.
Linear Algebra and its Applications,
Vol. 687,
Issue. ,
p.
157.
Pandey, Divyanshu
Decurninge, Alexis
and
Leib, Harry
2024.
An Introduction to Complex Random Tensors.
IEEE Access,
Vol. 12,
Issue. ,
p.
157901.
Uotila, Valter
2024.
Tensor Decompositions and Adiabatic Quantum Computing for Discovering Practical Matrix Multiplication Algorithms.
p.
390.