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Showing results 34 to 49 of 49 < previous

Issue Date	Title	Author(s)
2021	Neural Network Learning: A Multiscale-Entropy and Self-Similarity Approach	Asadi, Amir Reza
2022	Overcoming Sampling and Exploration Challenges in Deep Reinforcement Learning	Simmons-Edler, Riley
2019	Part I: On The Effects of Electron-Deficient Olefins in a Ni Catalyzed Csp3–Csp3 Cross Coupling Part II: Using Machine Learning to Predict Reaction Performance and Infer Mechanism in a Pd Catalyzed C–N Coupling	Estrada, Jesus Gregorio
2021	Physics-Based and Data-Driven Methods for Structural Health Monitoring At Fine Spatial Resolution	Kumar, Vivek
2021	Primal-Dual Method for Reinforcement Learning and Markov Decision Processes	Gong, Hao
2020	Probabilistic Modeling of Structure in Science: Statistical Physics to Recommender Systems	Altosaar, Jaan
2023	Real-time kinetic profile reconstruction and Adaptive ELM Control on the DIII-D and KSTAR Tokamaks	Shousha, Ricardo
2023	Scaling Machine Learning in Practice	Suo, Daniel Can
2018	Second-Order Optimization Methods for Machine Learning	Agarwal, Naman
2019	Statistical Optimization for High Dimensional Machine Learning with Privacy and Sparsity Constraints	Ge, Jason
2016	Technology and Pedagogy: Using Big Data to Enhance Student Learning	Brinton, Christopher Greg
2017	The Application of Optimization Techniques in Machine Learning	Pang, Haotian
2022	The computational tools for whole-brain imaging and the neural dynamics of behaviors in C. elegans	Yu, Xinwei
2020	The Role of Data Geometry in Adversarial Machine Learning	Bhagoji, Arjun Nitin Nitin
2022	Towards Efficient and Effective Deep Model-based Reinforcement Learning	Luo, Yuping
2021	Towards Locally Relevant Global Soil Moisture Monitoring Leveraging Remote Sensing and Modeling for Water Resources Applications	Vergopolan da Rocha, Noemi

Showing results 34 to 49 of 49 < previous