Showing 221–240 of 1,000 results
/ Date/ Name
Jan 8, 2026Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical DistributionsJan 8, 2026Optimal Lower Bounds for Online MulticalibrationDec 11, 2025TPV: Parameter Perturbations Through the Lens of Test Prediction VarianceNov 17, 2025Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series ClassificationNov 13, 2025Continuum Dropout for Neural Differential EquationsNov 9, 2025Kaggle Chronicles: 15 Years of Competitions, Community and Data Science InnovationNov 4, 2025Scalable Single-Cell Gene Expression Generation with Latent Diffusion ModelsNov 3, 2025An Interdisciplinary and Cross-Task Review on Missing Data ImputationOct 21, 2025Calibrated Principal Component RegressionOct 20, 2025Benchmarking Probabilistic Time Series Forecasting Models on Neural ActivityOct 17, 2025Chronos-2: From Univariate to Universal ForecastingOct 8, 2025Q-Learning with Fine-Grained Gap-Dependent RegretSep 30, 2025Nonparametric Identification of Latent ConceptsSep 29, 2025Fair Classification by Direct Intervention on Operating CharacteristicsSep 19, 2025Low-Rank Adaptation of Evolutionary Deep Neural Networks for Efficient Learning of Time-Dependent PDEsSep 15, 2025Variational Gaussian Approximation in Replica Analysis of Parametric ModelsSep 4, 2025Connections between reinforcement learning with feedback,test-time scaling, and diffusion guidance: An anthologyAug 18, 2025Fairness-Aware Multi-view Evidential Learning with Adaptive PriorAug 18, 2025Optimal Condition for Initialization Variance in Deep Neural Networks: An SGD Dynamics PerspectiveAug 5, 2025A Dual Optimization View to Empirical Risk Minimization with f-Divergence Regularization