Daniel K. Park

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 18

Top Topics

Convolutional Neural Network

Transfer Learning

Conditional Independence

Variational Approximation

Top Venues

Mach. Learn. Sci. Technol.

Quantum Mach. Intell.

Publications

Junggu Choi, Tak Hur, Daniel K. Park, Na-Young Shin, Seung-Koo Lee, Hakbae Lee, Sanghoon Han
Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series. CoRR (2024)
Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Daniel K. Park
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension. CoRR (2024)
Nicolas M. de Oliveira, Daniel K. Park, Israel F. Araujo, Adenilton J. da Silva
Quantum variational distance-based centroid classifier. Neurocomputing 576 (2024)
Israel F. Araujo, Daniel K. Park, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton J. da Silva
Configurable sublinear circuits for quantum state preparation. Quantum Inf. Process. 22 (2) (2023)
Changwon Lee, Daniel K. Park
Scalable quantum measurement error mitigation via conditional independence and transfer learning. Mach. Learn. Sci. Technol. 4 (4) (2023)
Gunhee Park, Joonsuk Huh, Daniel K. Park
Variational quantum one-class classifier. Mach. Learn. Sci. Technol. 4 (1) (2023)
Tak Hur, Israel F. Araujo, Daniel K. Park
Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning. CoRR (2023)
Roberto Giuntini, Federico Holik, Daniel K. Park, Hector Freytes, Carsten Blank, Giuseppe Sergioli
Quantum-inspired algorithm for direct multi-class classification. Appl. Soft Comput. 134 (2023)
Juhyeon Kim, Joonsuk Huh, Daniel K. Park
Classical-to-quantum convolutional neural network transfer learning. Neurocomputing 555 (2023)
Tak Hur, Leeseok Kim, Daniel K. Park
Quantum convolutional neural network for classical data classification. Quantum Mach. Intell. 4 (1) (2022)
Juhyeon Kim, Joonsuk Huh, Daniel K. Park
Classical-to-quantum convolutional neural network transfer learning. CoRR (2022)
Adenilton J. da Silva, Daniel K. Park
Linear-depth quantum circuits for multi-qubit controlled gates. CoRR (2022)
Matt Lourens, Ilya Sinayskiy, Daniel K. Park, Carsten Blank, Francesco Petruccione
Architecture representations for quantum convolutional neural networks. CoRR (2022)
Siheon Park, Daniel K. Park, June-Koo Kevin Rhee
Variational Quantum Approximate Support Vector Machine With Inference Transfer. CoRR (2022)
Daniel K. Park, Carsten Blank, Francesco Petruccione
Robust quantum classifier with minimal overhead. IJCNN (2021)
Israel F. Araujo, Daniel K. Park, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton J. da Silva
Configurable sublinear circuits for quantum state preparation. CoRR (2021)
Tiago Mendonça Lucena de Veras, Ismael C. S. de Araujo, Daniel K. Park, Adenilton J. da Silva
Circuit-Based Quantum Random Access Memory for Classical Data With Continuous Amplitudes. IEEE Trans. Computers 70 (12) (2021)
Tiago Mendonça Lucena de Veras, Ismael C. S. de Araujo, Daniel K. Park, Adenilton J. da Silva
Circuit-based quantum random access memory for classical data with continuous amplitudes. CoRR (2020)
Daniel K. Park, Xiong Wang
Toward a General Framework for Microarray Data Comparison. CIT (2006)