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Showing results 58 to 77 of 81 < previous   next >
Issue DateTitleAuthor(s)
2023Real-time kinetic profile reconstruction and Adaptive ELM Control on the DIII-D and KSTAR TokamaksShousha, Ricardo
2020Regret-Minimizing Algorithms Beyond Classical Optimization and ControlZhang, Cyril
2023Reservoir Computing and Quantum SystemsAngelatos, Gerasimos
2019ROBOTIC ASSEMBLY: A GENERATIVE ARCHITECTURAL DESIGN STRATEGY THROUGH COMPONENT ARRANGEMENTS IN HIGHLY-CONSTRAINED DESIGN SPACESWu, Kaicong
2022Safe Reinforcement Learning and Constrained Learning for Dynamical SystemsYang, Tsung-Yen
2023Scalable and Interpretable Learning with Probabilistic Models for Knowledge DiscoveryLiu, Sulin
2024Scaling Full-Stack Safety for Learning-Enabled Robot AutonomyHsu, Kai-Chieh
2023Search for a Pseudoscalar Higgs BosonDeZoort, Gage
2022Self-Supervised Metric Learning for Alignment of Petascale Connectomics DatasetsPopovych, Sergiy
2022Studio-Quality Speech EnhancementSu, Jiaqi
2024Synthetic Data Generation for 6DOF Object RearrangementDefay, John A
2020The Role of Data Geometry in Adversarial Machine LearningBhagoji, Arjun Nitin Nitin
2023The Role Of Nonparametric Inference In Computational Models Of Categorization And AnalogyBattleday, Ruairidh McLennan
2023The successes and failures of human drivesDubey, Rachit
2018Thompson Sampling for Bandit ProblemsLIU, CHE-YU
2022Towards Efficient and Effective Deep Model-based Reinforcement LearningLuo, Yuping
2020Towards Flexible Active And Online Learning With Neural NetworksAsh, Jordan
2024Towards Optimizing In-Context Learning and Ensuring Data Transparency in Large Language ModelsAjith, Anirudh
2022Towards Understanding Self-Supervised Representation LearningSaunshi, Nikunj Umesh
2023Training Deep Neural Networks with In-Memory ComputingGrimm, Christopher Lee