Key papers

• Harvesting Reshapes Dynamical Populations (2026)
  R. K. Singh et al.
  4.95
• 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
• Efficient Bayesian Deep Ensembles via Analytic Predictive Inference (2026)
  Sina Aghaee Dabaghan Fard et al.
  4.33
• Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite (2026)
  Yushi Hirose et al.
  4.33
• Exact and Certified Data Shapley for Weighted k-Nearest-Neighbor Regression and Soft-Label Prediction (2026)
  Zongye Lyu
  4.33
• Decentralized Gradient Descent: Bottleneck Regimes and Budget Complexity (2026)
  Nicol\`o Michelusi
  4.33
• Gradient Flow Dynamics and Implicit Bias of Diagonal Linear Networks under Infinitesimal Initialization (2026)
  Jiajie Zhao et al.
  4.33
• Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization (2026)
  Zhen Huang et al.
  4.33
• PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors (2026)
  Nicola Aladrah et al.
  4.33
• Attractor Geometry Determines the Identifiability Limits of System Discovery (2026)
  Matteo Gallo et al.
  4.33
• Signed Rectified Flow: Negativity-Controlled Generation (2026)
  Runlong Liao et al.
  4.33
• Contraction-Gauge Preconditioning for Quantized Matrix Multiplication (2026)
  Piyush Sao et al.
  4.33
• Optimizing Regret (2026)
  Irene Aldridge
  4.33
• Functional Equivalence and Geometric Diversity in Neural Network Approximations: An Empirical Characterization (2026)
  Anuragine S A et al.
  4.33
• Provable diffusion-based posterior sampling for linear inverse problems via DDIM (2026)
  Yuchen Jiao et al.
  4.33
• On the Order-Conditional Optimality of Gaffke's Bound (2026)
  George Bissias et al.
  4.33
• Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification (2026)
  H. Martin Gillis et al.
  4.33
• Spectral Truncation in Synthetic Control (2026)
  Mojtaba Eslami
  4.33
• Lloyd's $K$-Means Clustering Algorithm Is Frank-Wolfe in Disguise (2026)
  Michael Pokojovy et al.
  4.33
• Normalizing Flows to Reconstruct Pseudo-PDFs (2026)
  Yamil Cahuana Medrano et al.
  4.33
• On some potentials based on exponential functions (2026)
  Francisco M. Fern\'{a}ndez
  4.33
• On the Condition Number Upper Bound of the L-BFGS Inverse Hessian Approximation Matrix with a Two-Sided Geometric Envelope Safeguarding Mechanism (2026)
  Don Li
  3.45
• A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems (2026)
  Fabian Schneider et al.
  3.45
• Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy (2026)
  Nikita P. Kalinin et al.
  3.45
• 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
• LieBN: Batch Normalization over Lie Groups (2026)
  Ziheng Chen et al.
  1.94
• 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.
  —