Showing 1–16 of 16 results
/ Date/ Name
Jun 10, 2020Sketchy Empirical Natural Gradient Methods for Deep LearningMar 16, 2025Revealing Nanostructures in High-Entropy Alloys via Machine-Learning Accelerated Scalable Monte Carlo SimulationOct 3, 2018Noncollinearity-modulated electronic properties of the monolayer CrI$_3$Jun 29, 2020The impacts of optimization algorithm and basis size on the accuracy and efficiency of variational quantum eigensolverJun 14, 2021NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep LearningApr 6, 2020Simulating Noisy Quantum Circuits with Matrix Product Density OperatorsMar 22, 2026Towards Computational Microscope of Chemical Order-Disorder via ML-Accelerated Monte Carlo SimulationOct 28, 2020Simulating noisy variational quantum eigensolver with local noise modelsAug 22, 2020A variational quantum algorithm for Hamiltonian diagonalizationJun 14, 2024Block Coordinate Descent Methods for Optimization under J-Orthogonality Constraints with ApplicationsMar 9, 2025Probabilistic degenerate poly-Bell polynomials associated with random variablesOct 28, 2025Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFTApr 9, 2026SMC-AI: Scaling Monte Carlo Simulation to Four Trillion Atoms with AI AcceleratorsMar 1, 2021DST: Data Selection and joint Training for Learning with Noisy LabelsSep 25, 2025SMC-X: A Distributed Scalable Monte Carlo Simulation Method for Chemically Complex AlloysJul 31, 2025SGEMM-cube: Precision-Recovery FP32 GEMM Approximation on Ascend NPUs with FP16 Matrix Engines