Showing 1–20 of 109 results
/ Date/ Name
Oct 9, 2020Incorporating planning intelligence into deep learning: A planning support tool for street network designJun 6, 2021Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximationsNov 18, 2011Sparse Group Selection Through Co-Adaptive PenaltiesJun 16, 2024Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey frameworkMar 4, 2023Continuous-Time Path-Dependent Exploratory Mean-Variance Portfolio ConstructionNov 17, 2019A graphic formulation of non-isothermal chemical reaction systems and the analysis of detailed balanced networksNov 3, 2023Cooperative Network Learning for Large-Scale and Decentralized GraphsMar 23, 2017Complex Balancing Reconstructed to the Asymptotic Stability of Mass-action Chemical Reaction Networks with Conservation LawsMar 6, 2025Wasserstein Robust Market Making via Entropy RegularizationNov 7, 2019Towards An Angry-Birds-like Game System for Promoting Mental Well-being of Players Using Art-Therapy-embedded PCGDec 7, 2021Beyond network centrality: Individual-level behavioral traits for predicting information superspreaders in social mediaMar 4, 2023Electricity Virtual Bidding Strategy Via Entropy-Regularized Stochastic Control MethodJul 4, 2023Over-the-Counter Market Making via Reinforcement LearningJul 11, 2016Time-domain Boundedness of Noise-to-State Exponentially Stable SystemsJun 15, 2010LASSO ISOtone for High Dimensional Additive Isotonic RegressionSep 6, 2023A generalized simplicial model and its applicationNov 1, 2023Effective filtering approach for joint parameter-state estimation in SDEs via Rao-Blackwellization and modularizationOct 9, 2020DeepStreet: A deep learning powered urban street network generation moduleOct 14, 2021Convergence of regularized particle filters for stochastic reaction networksJul 4, 2023Option Market Making via Reinforcement Learning