Papers

• Population-Level Generative Modeling for Ranking Data (2026)
  Zhaoyang Shi
  5.54
• Optimized Sequential Testing for Binary Ensemble Classifiers (2026)
  Joseph Kalman et al.
  1.89
• Singular Asymptotics of SPADE in Quantum Source Discrimination (2026)
  Natsuki Kariya
  1.83
• Gradient Boosted Mixed Models: Flexible Estimation of Mean and Variance Components for Clustered Data (2025)
  Mitchell L. Prevett et al.
  1.50
• Fusion of classical and quantum kernels enables accurate and robust two-sample tests (2025)
  Yu Terada et al.
  1.50
• Robust Iterative Learning Hidden Quantum Markov Models (2025)
  Ning Ning
  1.44
• Quantum Sequential Universal Hypothesis Testing (2025)
  Matteo Zecchin et al.
  1.33
• Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift (2025)
  Yu Zhu et al.
  1.17
• Quantum-enhanced causal discovery for a small number of samples (2025)
  Yu Terada et al.
  0.94
• Quantum Implementation of Risk Analysis-relevant Copulas (2020)
  Janusz Milek
  —
• Adaptive Algorithm for Quantum Amplitude Estimation (2022)
  Yunpeng Zhao et al.
  —
• Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications (2024)
  David E. Bernal Neira et al.
  —
• Operator on Operator Regression in Quantum Probability (2024)
  Suprio Bhar et al.
  —