Andrzej Cichocki

1. Using Reinforcement Learning in the Algorithmic Trading Problem
   2019/12/01 by E. S. Ponomarev, Evgeny Ponomarev, I. V. Oseledets +3 · 1 voice · 1 citation
   Decision Sciences · Computer Science · #Stock Market Forecasting Methods #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics
2. Tensor Ring Decomposition
   2016/06/17 by Qibin Zhao, Zhao, Qibin, Guoxu Zhou +7 · 32 citations
   Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Tensor decomposition and applications
3. Stable Low-rank Tensor Decomposition for Compression of Convolutional\n Neural Network
   2020/08/12 by Anh Huy Phan, Константин Соболев, Phan, Anh-Huy +15 · 12 citations
   Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Solar and Space Plasma Dynamics #Tensor decomposition and applications
4. Tensor Networks for Big Data Analytics and Large-Scale Optimization\n Problems
   2014/07/11 by Andrzej Cichocki, Cichocki, Andrzej · 7 citations
   Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Mathematics #Matrix Theory and Algorithms #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Tensor decomposition and applications
5. TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
   2022/04/30 by Konstantin Sozykin, Andrei Chertkov, Sozykin, Konstantin +9 · 8 citations
   Mathematics · #Tensor decomposition and applications
6. Prognosis for patients with cognitive motor dissociation identified by brain-computer interface
   2020/01/23 by Jiahui Pan, Qiuyou Xie, Pengmin Qin +8 · 27 citations
   Neuroscience · Medicine · #EEG and Brain-Computer Interfaces #Traumatic Brain Injury Research #Functional Brain Connectivity Studies
7. Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC
   2012/05/11 by Anh Huy Phan, Petr Tichavský, Phan, Anh Huy +3 · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Parallel Computing and Optimization Techniques #Tensor decomposition and applications
8. Correlation-based channel selection and regularized feature optimization for MI-based BCI
   2019/07/15 by Jing Jin, Yangyang Miao, Ian Daly +3 · 4 citations
   Neuroscience · Computer Science · #EEG and Brain-Computer Interfaces #Blind Source Separation Techniques #Gaze Tracking and Assistive Technology
9. Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
   2020/02/25 by Qiquan Shi, Shi, Qiquan, Jiaming Yin +13 · 3 citations
   Engineering · Mathematics · #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Tensor decomposition and applications #Traffic Prediction and Management Techniques #electronic engineering #information engineering
10. Quantization Aware Factorization for Deep Neural Network Compression
    2023/08/08 by Daria Cherniuk, Cherniuk, Daria, Stanislav Abukhovich +9 · 3 citations
    Mathematics · Computer Science · #Tensor decomposition and applications #Advanced Neural Network Applications #Computational Physics and Python Applications
11. Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion
    2015/05/10 by Qibin Zhao, Zhao, Qibin, Liqing Zhang +3 · 1 citation
    Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
12. VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization
    2024/09/02 by Yixuan Zhou, Xing Xu, Zhou, Yixuan +9 · 2 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Network Security and Intrusion Detection #Fault Detection and Control Systems
13. Image Reconstruction using Superpixel Clustering and Tensor Completion
    2023/05/16 by Maame G. Asante-Mensah, Asante-Mensah, Maame G., Anh Huy Phan +7 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Image Retrieval and Classification Techniques #Medical Image Segmentation Techniques #Numerical Analysis (math.NA)