Papers citing 'Overfitting in quantum machine learning and entangling dropout'

Title
Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning Maximilian Wendlinger Kilian Tscharke Pascal Debus UQCV AI4CE 135 1 0 20 Jul 2025
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles Junghoon Justin Park Jiook Cha Samuel Yen-Chi Chen Huan-Hsin Tseng Shinjae Yoo 385 3 0 13 May 2025
Training-efficient density quantum machine learning Brian Coyle El Amine Cherrat Nishant Jain Natansh Mathur Snehal Raj Skander Kazdaghli Iordanis Kerenidis 309 9 0 30 May 2024
Graph Neural Networks for Parameterized Quantum Circuits Expressibility EstimationInternational Conference on Quantum Computing and Engineering (QCE), 2024 Shammi Aktar Andreas Bartschi Diane Oyen S. Eidenbenz Abdel-Hameed A. Badawy 155 4 0 13 May 2024
Permutation-equivariant quantum convolutional neural networks Sreetama Das Filippo Caruso 191 3 0 28 Apr 2024
A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks Aakash Ravindra Shinde Charu Jain A. Kalev 196 3 0 04 Sep 2023
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine LearningIEEE Transactions on Quantum Engineering (TQE), 2023 Sangwoo Park Osvaldo Simeone 184 20 0 06 Apr 2023