Showing 1–20 of 44 results
/ Date/ Name
Jan 30, 2026Conditional Performance Guarantee for Large Reasoning ModelsFeb 1, 2016A primal-dual fixed point algorithm for multi-block convex minimizationFeb 20, 2024TorchCP: A Python Library for Conformal PredictionOct 10, 2025On the Provable Performance Guarantee of Efficient Reasoning ModelsDec 26, 2024A robust $C^0$ interior penalty method for a gradient-elastic Kirchhoff plate modelNov 4, 2024Adaptive neural network basis methods for partial differential equations with low-regular solutionsOct 18, 2022A robust lower order mixed finite element method for a strain gradient elasticity modelMar 18, 2026Decoupled Divergence-Free Neural Networks Basis Method for Incompressible Fluid ProblemsApr 4, 2025An efficient numerical method for surface acoustic wave equations over unbounded domainsDec 31, 2015A primal-dual fixed-point algorithm for minimization of the sum of three convex separable functionsOct 10, 2023Conformal Prediction for Deep Classifier via Label RankingAug 15, 2025The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and ResultsJul 21, 2025Autonomous Multi-objective Alloy Design through Simulation-guided OptimizationOct 3, 2019Int-Deep: A Deep Learning Initialized Iterative Method for Nonlinear ProblemsJun 28, 2021An augmented Lagrangian deep learning method for variational problems with essential boundary conditionsMay 23, 2024Similarity-Navigated Conformal Prediction for Graph Neural NetworksAug 14, 2016An $hp$-version error analysis of the discontinuous Galerkin method for linear elasticityJan 30, 2026HyPAC: Cost-Efficient LLMs-Human Hybrid Annotation with PAC Error GuaranteesFeb 2, 2026Well-posedness and Numerical Analysis of Mixed Variational-hemivariational InequalitiesJun 30, 2023Koopman operator learning using invertible neural networks