Showing 1–13 of 13 results
/ Date/ Name
Nov 23, 2022Physics-informed neural networks for pathloss predictionApr 21, 2015A Simple Algorithm for Approximation by Nomographic FunctionsSep 4, 2017Optimal deep neural networks for sparse recovery via Laplace techniquesMay 26, 2016Towards optimal nonlinearities for sparse recovery using higher-order statisticsSep 3, 2014On $\ell_p$-norm Computation over Multiple-Access ChannelsSep 12, 2013Exploiting Interference for Efficient Distributed Computation in Cluster-based Wireless Sensor NetworksAug 22, 2024Neural-ANOVA: Analytical Model Decomposition using Automatic IntegrationMar 14, 2025A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine LearningJul 20, 2020Interpretable Control by Reinforcement LearningDec 21, 2022Predict+Optimize Problem in Renewable Energy SchedulingOct 4, 2023A Hybrid Quantum-Classical Approach to the Electric Mobility ProblemNov 7, 2023The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and BeyondJan 23, 2021Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization