Papers

• Sample Complexities of Estimating Gumbel--Max Watermark Proportions with and without Reduction to Pivotal Statistics (2026)
  Shuwen Chai et al.
  4.33
• Heckman-Corrected Epistemic Uncertainty: Selection on Unobservables Defeats Importance Weighting (2026)
  Gunner Levi Howe
  4.33
• Exact and Certified Data Shapley for Weighted k-Nearest-Neighbor Regression and Soft-Label Prediction (2026)
  Zongye Lyu
  4.33
• An unsupervised clustering analysis of breast cancer data derived from electronic health records enhanced through UMAP dimensionality reduction (2026)
  Davide Chicco et al.
  4.33
• Lloyd's $K$-Means Clustering Algorithm Is Frank-Wolfe in Disguise (2026)
  Michael Pokojovy et al.
  4.33
• Fundamental limits of distributed multiclass classification from simple binary decisions (2026)
  Ioannis Papageorgiou et al.
  3.45
• Multiclass Classification without Labels via Posterior Simplex Geometry (2026)
  Rapha\"el Bonnet-Guerrini et al.
  3.45
• Hierarchy of discriminative power and complexity in learning quantum ensembles (2026)
  Jian Yao et al.
  1.61
• Hybrid quantum transfer learning for crack image classification on NISQ hardware (2023)
  Alexander Geng and Ali Moghiseh and Claudia Redenbach and Katja Schladitz
  —
• A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor (2024)
  Maida Wang et al.
  —