Anh-Huy Phan

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 15

Top Topics

Tensor Decomposition

Singular Values

Randomized Algorithm

Top Venues

IEEE Trans. Signal Process.

IEEE J. Sel. Top. Signal Process.

IEEE Trans. Neural Networks Learn. Syst.

IEEE Signal Process. Lett.

Publications

Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Ivan V. Oseledets, Jun Wang
Fast cross tensor approximation for image and video completion. Signal Process. 213 (2023)
Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. NeurIPS (2022)
Anh-Huy Phan, Konstantin Sobolev, Dmitry Ermilov, Igor Vorona, Nikolay Kozyrskiy, Petr Tichavský, Andrzej Cichocki
How to Train Unstable Looped Tensor Network. CoRR (2022)
Igor Vorona, Anh-Huy Phan, Alexander Panchenko, Andrzej Cichocki
Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint. ACL/IJCNLP (Findings) (2021)
Anh-Huy Phan, Petr Tichavský, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Andrzej Cichocki
Canonical Polyadic Tensor Decomposition With Low-Rank Factor Matrices. ICASSP (2021)
Petr Tichavský, Anh-Huy Phan, Andrzej Cichocki
Krylov-Levenberg-Marquardt Algorithm for Structured Tucker Tensor Decompositions. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Farnaz Sedighin, Andrzej Cichocki, Anh-Huy Phan
Adaptive Rank Selection for Tensor Ring Decomposition. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD). IEEE Access 9 (2021)
Anh-Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, George Luta, Danilo P. Mandic
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Anh-Huy Phan, Masao Yamagishi, Danilo P. Mandic, Andrzej Cichocki
Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition. Neural Comput. Appl. 32 (11) (2020)
Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki
Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound. IEEE Trans. Signal Process. 67 (5) (2019)
Petr Tichavský, Anh-Huy Phan, Andrzej Cichocki
Sensitivity in Tensor Decomposition. IEEE Signal Process. Lett. 26 (11) (2019)
Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki
Tensor Deflation for CANDECOMP/PARAFAC - Part I: Alternating Subspace Update Algorithm. IEEE Trans. Signal Process. 63 (22) (2015)
Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki
Tensor Deflation for CANDECOMP/PARAFAC - Part II: Initialization and Error Analysis. IEEE Trans. Signal Process. 63 (22) (2015)