Key papers

• GRPO, Dr. GRPO, and DAPO Are Three Operations on One Number: The Group-Standard-Deviation Identity (2026)
  Yong Yi Bay et al.
  7.37
• Quantifying Political Partisanship for Cross-Platform Analyses (2026)
  Fathima Ameen et al.
  5.49
• Distributional Determinantal Point Process for Repulsive Clustering of Distributions (2026)
  Khai Nguyen et al.
  5.49
• Explicit Iteration Complexity of Exact Data-Driven Inverse Optimization for Integer Linear Programs (2026)
  Akira Kitaoka
  5.49
• Local-Global Geometric Insights for Graph Neural Networks via Entropic Curvature (2026)
  Rachid Caich et al.
  5.49
• Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization (2026)
  Xuefeng Liu et al.
  5.01
• The Dual Nature of LLM Persona: Aggregated Tendencies and Frame-Dependent Geometry (2026)
  Yuan Yuan
  5.01
• Tensor Network Machine Learning for Wildfire Susceptibility Mapping: from Grokking Dynamics to Quantum Mixedness of Class Representations (2026)
  Domenico Pomarico et al.
  5.01
• Dynamical and Optimization Trade-offs of Levi--Civita Coordinates for Learned Close-Encounter Dynamics (2026)
  Abhishek Shankar
  5.01
• Weight-norm Criticality: A Mechanism for Loss Spikes Induced by the Normalization and Weight Decay (2026)
  Xiaolong Li et al.
  5.01
• Automatic knot selection in smooth additive models (2026)
  Nicol\'as Carrizosa et al.
  5.01
• Stokes-Informed Diffusion for Robust Linear Polarization Estimation (2026)
  Yidong Luo et al.
  5.01
• Optimal use of a black-box learner in semiparametric estimation (2026)
  Yihong Gu
  5.01
• Smart predict-then-robustly-optimize (2026)
  Aakil Caunhye et al.
  5.01
• Natural Invariant Measures for Chaotic Game Dynamics: Finding Order in Chaos (2026)
  Jakub Bielawski et al.
  5.01
• Reconstruction of Enhanced Causal Omnidirectional Network (RECON) (2026)
  Praveen Niranda et al.
  5.01
• Simulation-Based Empirical Bayes (2026)
  Xinwei Shen et al.
  5.01
• Interventional Score Geometry for Causal Inference (2026)
  Mojtaba Eslami
  5.01
• Projection Pursuit CPCANet for Domain Generalization (2026)
  Yu-Hsi Chen et al.
  5.01
• Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model (2026)
  Ruijian Han et al.
  5.01
• Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks (2026)
  Masahiro Tanaka
  5.01
• Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models (2026)
  Yebin Zheng et al.
  5.01
• Learning Ergodic Dynamical Systems from a Finite Trajectory (2026)
  Oleksii Kachaiev et al.
  5.01
• Graph-Based Correlation Matrix Generation: A Convex Optimization Approach (2026)
  Ali Fakhar (UGA) et al.
  5.01
• The V-fold jackknife for semiparametric inference: variance estimation, confidence intervals, and simultaneous confidence bands (2026)
  Yi Li et al.
  5.01
• Sample Complexities of Estimating Gumbel--Max Watermark Proportions with and without Reduction to Pivotal Statistics (2026)
  Shuwen Chai et al.
  4.39
• Stochastic Linear Bandits with Partially Observed Actions (2026)
  Gautam Dasarathy et al.
  4.39
• Group Invariant Spectral Embedding (2026)
  Yeari Vigder et al.
  4.39
• Pitfalls and Remedies for Multi-Task Bayesian Optimization (2026)
  Carl Hvarfner et al.
  4.39
• Causal Discovery on Irregular Time Series (2026)
  Martim Penim et al.
  4.39
• Uncertainty quantification in mechanics: A unified Bayesian perspective (2026)
  Sascha Ranftl et al.
  4.39
• A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling (2026)
  Eric Herrison Gyamfi et al.
  4.39
• Data-Poisoning Audits for Causal Effect Estimation (2026)
  Kwangho Kim
  4.39
• A Multiclass Quantum Aligned Centroid Kernel (2026)
  Kilian Tscharke et al.
  4.39
• A Structure-Adaptive Random Feature Method for High-Dimensional Elliptic PDEs (2026)
  Jiale Linghu et al.
  4.39
• Instance Hardness-Based Relevance for Imbalanced Regression (2026)
  Vitor M. Leitao et al.
  4.39
• Interpretable Fuzzy Rule-Based Regression Extension for Ex-Fuzzy Library (2026)
  Cayan Deniz Kucuktopana et al.
  4.39
• Lipschitzian SLLNs for random functions (2026)
  Lai Tian et al.
  4.39
• Enabling Scalable Topology Inference in Distribution Systems via Constrained Multi-Source Inference (2026)
  Haoran Li et al.
  4.39
• Inducing Comparability of Factorised Probability Distributions (2026)
  Jan Speller et al.
  4.39
• Grounding Investor Views: Neural Predicates in the Black-Litterman Model (2026)
  Marcos Florencio
  4.39
• Fisher Widths: Local Learning Geometry and Anisotropic Recovery (2026)
  Vu Khac Ky
  4.39
• A Framework for Reputation Aware Uninorm-driven Consensus Algorithms for Blockchain Networks (2026)
  Bruno Ramos-Cruz et al.
  4.39
• Regularized Optimization on Grassmann Manifold: Theory, Algorithm and Applications (2026)
  Zhuan Liang et al.
  4.39
• Measuring the Dependency Gap: Diagnosing Inter-Column Fidelity in Tabular Generative Models (2026)
  Jie Zhang
  4.39
• Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction (2026)
  Aubida A. Al-Hameed et al.
  4.39
• Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification (2026)
  Jinglin Yu et al.
  4.39
• Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA (2026)
  Sergio A. Alvarez
  4.39
• Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression (2026)
  Charles Brum et al.
  4.39
• Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement (2026)
  Guoming Li et al.
  4.39
• Multiplicity of Stable Attractors in Disordered Neural Models (2026)
  Raffaele Marino et al.
  4.39
• From Score Approximation to Distribution Approximation in Score-Based Diffusion Models (2026)
  Lan V. Truong
  4.39
• Class-Balanced Softmax: A Bayes Theory-Based Method for Long-Tailed Recognition (2026)
  Yi-Hang Zhu et al.
  4.39
• Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs (2026)
  Zhangzhi Xiong et al.
  4.39
• Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent (2026)
  Peng Zhao
  4.39
• Signed-Permutation Coordinate Transport for RMSNorm Transformers (2026)
  John Sweeney
  4.33
• Algebraic Signatures for Structural Learning in Probability Tensors (2026)
  Akihiro Maeda et al.
  3.51
• Boundary-Adapted PINNs for Elliptic Dirichlet Problems: $H^2(\Omega)$ A Priori Error Bounds with Application to Mean Escape Time Computation (2026)
  Nathanael Tepakbong et al.
  3.51
• Equilibrium Causal Games: Separation, Identification, and the Identifiability of Cyclic Latent States (2026)
  Faraz Dadgostari et al.
  3.51
• Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks (2026)
  Greg Ongie et al.
  3.45