Key papers

• Weak-to-Strong Learning in Decision Making (2026)
  Jingwei Ji et al.
  6.17
• 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
• Conditional Inference Trees and Forests for Feature Selection (2026)
  Robert Milletich et al.
  4.33
• Physically-Relevant Information Learning in High-Dimensional Time-Derivatives Spaces (2026)
  Domiziano Doria et al.
  4.33
• Heckman-Corrected Epistemic Uncertainty: Selection on Unobservables Defeats Importance Weighting (2026)
  Gunner Levi Howe
  4.33
• Trajectory Inference of Human Aging from Cross-Sectional DNA Methylation Data (2026)
  Chandan Gupta et al.
  4.33
• NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts (2026)
  Lanhao Li et al.
  4.33
• When Do Geometric Algebra Layers Beat Scalarization? A Controlled Study on SO(3)-Equivariant Vector Laws (2026)
  Fabien Polly
  4.33
• Optimized Instance Alteration for Explaining and Assessing Robustness of Classifiers (2026)
  Evgenii Kuriabov et al.
  4.33
• UASPL: Uncertainty-Aware Self-Paced Learning with Evidential Neural Networks (2026)
  Yifan Zhang et al.
  4.33
• Efficient Bayesian Deep Ensembles via Analytic Predictive Inference (2026)
  Sina Aghaee Dabaghan Fard et al.
  4.33
• Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery (2026)
  Chuyao Zhang et al.
  4.33
• FMMVCC: Fuzzy Mamba-based Multi-View Contrastive Clustering for Univariate Time Series (2026)
  Donato Cerciello 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
• LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention (2026)
  Ziqi Yin et al.
  4.33
• Removable Defects: The Economics and Limits of Deliberate Deficiency (2026)
  Cheng Qian
  4.33
• Institutional Equity Holdings Prediction Using Node Affinities of Dynamic Graphs (2026)
  Emad Izadifar et al.
  4.33
• Decentralized Gradient Descent: Bottleneck Regimes and Budget Complexity (2026)
  Nicol\`o Michelusi
  4.33
• Proximity Features: Privacy-Compliant Cold-Start Personalization at Airbnb (2026)
  Wei Jiang et al.
  4.33
• Gradient Flow Dynamics and Implicit Bias of Diagonal Linear Networks under Infinitesimal Initialization (2026)
  Jiajie Zhao et al.
  4.33
• Exploring Zero-Shot Foundation Models for Multivariate Time Series Anomaly Detection (2026)
  Martin Uray et al.
  4.33
• The Geometry of Memorization: Finite-Time Spectral Sensitivity as a Diagnostic for Flow Matching Models (2026)
  Shuchan Wang
  4.33
• Learning-based Probabilistic Load Forecasting with Post-hoc and In-model Uncertainty (2026)
  Sarah Al-Shareeda et al.
  4.33
• The Seriality Gap in Video Diffusion Models (2026)
  Jorge Diaz Chao et al.
  4.33
• Quantifying Diversity of Thought: A Predictive Law of Weighted LLM Ensemble Lift (2026)
  Junade Ali
  4.33
• FALCON-Discover: Discovering Concentrated False-Confidence Regions for Calibration (2026)
  Filippo Cenacchi et al.
  4.33
• Dual-domain fused LSTM modeling for efficient time-dependent reliability analysis (2026)
  Yixin Zhang 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
• CANDOR: Chance-Calibrated Discordance in Frozen Foundation Encoders (2026)
  Soroosh Tayebi Arasteh 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
• Censoring-Aware In-Context Learning for Generalized Supplier Lead Time Estimation in Supply Chain Planning (2026)
  Christopher Wang et al.
  4.33
• On the Diverse Dynamical Behaviors Arising in Deep Linear Transformers (2026)
  Sixu Li et al.
  4.33
• Graph Neural Network-based Algorithm Selection for the Traveling Salesman Problem: A Systematic Study of Cost and Rank Losses under Distinct Budget Regimes (2026)
  Zhaoxuan Li et al.
  4.33
• ConceptCF: Concept-based Counterfactuals for the Explainability of Time Series (2026)
  Annemarie Jutte et al.
  4.33
• Optimizing Regret (2026)
  Irene Aldridge
  4.33
• RAMP: Recognition parametrisation by Amortised Message Passing (2026)
  Lior Fox et al.
  4.33
• Functional Equivalence and Geometric Diversity in Neural Network Approximations: An Empirical Characterization (2026)
  Anuragine S A et al.
  4.33
• Unsupervised Multi-kernel Learning for Automated Algorithm Selection (2026)
  Yihang Lu et al.
  4.33
• Spectral Higher-Order Neural Networks Have Sharp Expressivity Bounds (2026)
  Gianluca Peri et al.
  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
• Incomplete Observations Boost Evolutionary Performance in Ocean Modeling (2026)
  Yangyang Kong et al.
  4.33
• Staypoint Detection from Noisy Trajectory Data [Experiment Paper] (2026)
  Lance Kennedy 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
• Logarithmic Aging Diffusion from a Multiplicative Event Clock: Rare Event Statistics, Ultraslow Transport, and Ensemble-Time Inequivalence (2026)
  Chunyan Li et al.
  4.33
• Contrastive Representation Learning of Longitudinal Disease Trajectories on Temporal Graphs (2026)
  Bastian Pfeifer
  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
• Kernel-based Operator Learning: Error Analysis, Budget Allocation, and a Physics-Informed Extension (2026)
  R\"udiger Kempf
  3.45
• GenDiff: A Dose and Anatomy Aware Diffusion Model with Structural Prior Refinement for Low-Dose CT Reconstruction and Generalization (2026)
  Md Imam Ahasan et al.
  3.45
• Self-Consistent Flow: Unifying Velocity and Endpoint Prediction for Rectified Flow Models (2026)
  Xu Han et al.
  3.45
• LatentFlow: A General Framework for Conditioning Stochastic Processes (2026)
  Louis Sharrock et al.
  3.45
• Fundamental limits of distributed multiclass classification from simple binary decisions (2026)
  Ioannis Papageorgiou et al.
  3.45