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Showing results 43 to 62 of 64 < previous next >

Issue Date	Title	Author(s)
2022	Photonic neural networks for ultrafast neural information processing	Peng, Hsuan-Tung
2021	Practical Algorithms for Latent Variable Models	Gundersen, Gregory
2018	Privacy-Preserving Machine Learning via Data Compression & Differential Privacy	Chanyaswad, Thee
2023	Real-time kinetic profile reconstruction and Adaptive ELM Control on the DIII-D and KSTAR Tokamaks	Shousha, Ricardo
2020	Regret-Minimizing Algorithms Beyond Classical Optimization and Control	Zhang, Cyril
2023	Reservoir Computing and Quantum Systems	Angelatos, Gerasimos
2019	ROBOTIC ASSEMBLY: A GENERATIVE ARCHITECTURAL DESIGN STRATEGY THROUGH COMPONENT ARRANGEMENTS IN HIGHLY-CONSTRAINED DESIGN SPACES	Wu, Kaicong
2022	Safe Reinforcement Learning and Constrained Learning for Dynamical Systems	Yang, Tsung-Yen
2023	Scalable and Interpretable Learning with Probabilistic Models for Knowledge Discovery	Liu, Sulin
2023	Search for a Pseudoscalar Higgs Boson	DeZoort, Gage
2022	Self-Supervised Metric Learning for Alignment of Petascale Connectomics Datasets	Popovych, Sergiy
2022	Studio-Quality Speech Enhancement	Su, Jiaqi
2020	The Role of Data Geometry in Adversarial Machine Learning	Bhagoji, Arjun Nitin Nitin
2023	The Role Of Nonparametric Inference In Computational Models Of Categorization And Analogy	Battleday, Ruairidh McLennan
2023	The successes and failures of human drives	Dubey, Rachit
2018	Thompson Sampling for Bandit Problems	LIU, CHE-YU
2022	Towards Efficient and Effective Deep Model-based Reinforcement Learning	Luo, Yuping
2020	Towards Flexible Active And Online Learning With Neural Networks	Ash, Jordan
2022	Towards Understanding Self-Supervised Representation Learning	Saunshi, Nikunj Umesh
2023	Training Deep Neural Networks with In-Memory Computing	Grimm, Christopher Lee

Showing results 43 to 62 of 64 < previous next >