Anh-Huy Phan

17 papers A* 1Misc 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
How to Train Your Unstable Looped Tensor Network.
IEEE J. Sel. Top. Signal Process.
Anh-Huy Phan, Dmitry Ermilov, Nikolay Kozyrskiy, Igor Vorona, Konstantin Sobolev
2023 J jnl
Fast cross tensor approximation for image and video completion.
Signal Process.
Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Ivan V. Oseledets, Jun Wang
2022 J jnl
How to Train Unstable Looped Tensor Network.
CoRR
Anh-Huy Phan, Konstantin Sobolev, Dmitry Ermilov, Igor Vorona, Nikolay Kozyrskiy, Petr Tichavský, Andrzej Cichocki
2022 A* conf
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning.
NeurIPS
Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets
2021 J jnl
Adaptive Rank Selection for Tensor Ring Decomposition.
IEEE J. Sel. Top. Signal Process.
Farnaz Sedighin, Andrzej Cichocki, Anh-Huy Phan
2021 Misc conf
Canonical Polyadic Tensor Decomposition With Low-Rank Factor Matrices.
ICASSP
Anh-Huy Phan, Petr Tichavský, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Andrzej Cichocki
2021 — conf
Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint.
ACL/IJCNLP (Findings)
Igor Vorona, Anh-Huy Phan, Alexander Panchenko, Andrzej Cichocki
2021 J jnl
Krylov-Levenberg-Marquardt Algorithm for Structured Tucker Tensor Decompositions.
IEEE J. Sel. Top. Signal Process.
Petr Tichavský, Anh-Huy Phan, Andrzej Cichocki
2021 J jnl
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD).
IEEE Access
Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets
2020 J jnl
CNN Acceleration by Low-rank Approximation with Quantized Factors.
CoRR
Nikolay Kozyrskiy, Anh-Huy Phan
2020 J jnl
Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition.
Neural Comput. Appl.
Anh-Huy Phan, Masao Yamagishi, Danilo P. Mandic, Andrzej Cichocki
2020 J jnl
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition.
IEEE Trans. Neural Networks Learn. Syst.
Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic
2020 J jnl
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation.
IEEE Trans. Neural Networks Learn. Syst.
Anh-Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, George Luta, Danilo P. Mandic
2019 J jnl
Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound.
IEEE Trans. Signal Process.
Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki
2019 J jnl
Sensitivity in Tensor Decomposition.
IEEE Signal Process. Lett.
Petr Tichavský, Anh-Huy Phan, Andrzej Cichocki
2015 J jnl
Tensor Deflation for CANDECOMP/PARAFAC - Part I: Alternating Subspace Update Algorithm.
IEEE Trans. Signal Process.
Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki
2015 J jnl
Tensor Deflation for CANDECOMP/PARAFAC - Part II: Initialization and Error Analysis.
IEEE Trans. Signal Process.
Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki