Samuel Yen-Chi Chen | DeepAI

DeepAI AI Chat

Featured Co-authors

Chao Zhang
239 publications
Pin-Yu Chen
183 publications
Yu Tsao
127 publications
Chao-Han Huck Yang
46 publications
Chin-Hui Lee
44 publications
Marcel Worring
37 publications
Sabato Marco Siniscalchi
24 publications
Shinjae Yoo
24 publications
Jun Qi
19 publications
Xiaoli Ma
15 publications
Jia-Hong Huang
15 publications

∙ 09/13/2023

Efficient quantum recurrent reinforcement learning via quantum reservoir computing

Quantum reinforcement learning (QRL) has emerged as a framework to solve...

0 Samuel Yen-Chi Chen, et al. ∙

∙ 04/19/2023

Quantum deep Q learning with distributed prioritized experience replay

This paper introduces the QDQN-DPER framework to enhance the efficiency ...

2 Samuel Yen-Chi Chen, et al. ∙

∙ 01/12/2023

Asynchronous training of quantum reinforcement learning

The development of quantum machine learning (QML) has received a lot of ...

25 Samuel Yen-Chi Chen, et al. ∙

∙ 12/22/2022

Decoding surface codes with deep reinforcement learning and probabilistic policy reuse

Quantum computing (QC) promises significant advantages on certain hard c...

8 Elisha Siddiqui Matekole, et al. ∙

∙ 11/04/2022

Reservoir Computing via Quantum Recurrent Neural Networks

Recent developments in quantum computing and machine learning have prope...

0 Samuel Yen-Chi Chen, et al. ∙

∙ 10/26/2022

Quantum deep recurrent reinforcement learning

Recent advances in quantum computing (QC) and machine learning (ML) have...

0 Samuel Yen-Chi Chen, et al. ∙

∙ 02/17/2022

When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing

The rapid development of quantum computing has demonstrated many unique ...

0 Chao-Han Huck Yang, et al. ∙

∙ 02/03/2022

Financial Vision Based Reinforcement Learning Trading Strategy

Recent advances in artificial intelligence (AI) for quantitative trading...

34 Yun-Cheng Tsai, et al. ∙

∙ 12/28/2021

Financial Vision Based Differential Privacy Applications

The importance of deep learning data privacy has gained significant atte...

8 Jun-Hao Chen, et al. ∙

∙ 12/10/2021

Quantum Architecture Search via Continual Reinforcement Learning

Quantum computing has promised significant improvement in solving diffic...

0 Esther Ye, et al. ∙

∙ 10/13/2021

The Dawn of Quantum Natural Language Processing

In this paper, we discuss the initial attempts at boosting understanding...

13 Riccardo Di Sipio, et al. ∙

∙ 09/01/2021

Variational Quantum Reinforcement Learning via Evolutionary Optimization

Recent advance in classical reinforcement learning (RL) and quantum comp...

0 Samuel Yen-Chi Chen, et al. ∙

∙ 04/15/2021

Quantum Architecture Search via Deep Reinforcement Learning

Recent advances in quantum computing have drawn considerable attention t...

0 En-Jui Kuo, et al. ∙

∙ 03/22/2021

Federated Quantum Machine Learning

Distributed training across several quantum computers could significantl...

191 Samuel Yen-Chi Chen, et al. ∙

∙ 03/10/2021

Quantum machine learning with differential privacy

Quantum machine learning (QML) can complement the growing trend of using...

0 William M Watkins, et al. ∙

∙ 02/04/2021

An end-to-end trainable hybrid classical-quantum classifier

We introduce a hybrid model combining a quantum-inspired tensor network ...

0 Samuel Yen-Chi Chen, et al. ∙

∙ 01/15/2021

Hybrid Quantum-Classical Graph Convolutional Network

The high energy physics (HEP) community has a long history of dealing wi...

0 Samuel Yen-Chi Chen, et al. ∙

∙ 12/22/2020

Quantum Convolutional Neural Networks for High Energy Physics Data Analysis

This work presents a quantum convolutional neural network (QCNN) for the...

0 Samuel Yen-Chi Chen, et al. ∙

∙ 11/30/2020

Hybrid quantum-classical classifier based on tensor network and variational quantum circuit

One key step in performing quantum machine learning (QML) on noisy inter...

0 Samuel Yen-Chi Chen, et al. ∙

∙ 10/26/2020

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

We propose a novel decentralized feature extraction approach in federate...

0 Chao-Han Huck Yang, et al. ∙

∙ 09/03/2020

Quantum Long Short-Term Memory

Long short-term memory (LSTM) is a kind of recurrent neural networks (RN...

0 Samuel Yen-Chi Chen, et al. ∙

∙ 05/29/2020

Adversarial Robustness of Deep Convolutional Candlestick Learner

Deep learning (DL) has been applied extensively in a wide range of field...

0 Jun-Hao Chen, et al. ∙

∙ 05/14/2020

Data Augmentation for Deep Candlestick Learner

To successfully build a deep learning model, it will need a large amount...

10 Chia-Ying Tsao, et al. ∙

∙ 01/08/2020

Explainable Deep Convolutional Candlestick Learner

Candlesticks are graphical representations of price movements for a give...

54 Jun-Hao Chen, et al. ∙

∙ 06/30/2019

Variational Quantum Circuits and Deep Reinforcement Learning

Recently, machine learning has prevailed in many academia and industrial...

11 Samuel Yen-Chi Chen, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world