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Issue Date	Title	Author(s)
2020	Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare	AKMANDOR, AYTEN OZGE
2022	Advances in Data-Driven Modeling and Sensing for High-Dimensional Nonlinear Systems	Otto, Samuel Epstein
2013	Applications of Machine Learning to Location Data	Kapicioglu, Berk
2019	Bayesian latent structure discovery for large-scale neural recordings	wu, anqi
2018	Combinatorial Inference for Large-Scale Data Analysis	Lu, Junwei
2022	Decision-Making with Non-Markovian Rewards: Multi-Agent Learning and Applications to Medical Diagnostics	Yu, Zheng
2016	Extracting Cognition out of Images for the Purpose of Autonomous Driving	Chen, Chenyi
2022	Generalization of Deep Neural Networks in Supervised Learning, Generative Modeling, and Adaptive Data Analysis	Zhang, Yi
2022	Generating invariant representations with cortex-inspired models of unsupervised learning	Luther, Kyle
2022	Geometric and Dynamic Neural Codes of Sensory, Memory and Prediction	Libby, Alexandra
2012	Hierarchical Bayesian Modeling: Efficient Inference and Applications	Wang, Chong
2017	Integrating Exponential Dispersion Models to Latent Structures	Basbug, Mehmet Emin
2019	Large-scale Multi-output Gaussian Processes for Clinical Decision Support	Cheng, Li-Fang
2021	Learned surrogates and stochastic gradients for accelerating numerical modeling, simulation, and design	Beatson, Alex
2022	Learning Algorithms for Intelligent Agents and Mechanisms	Rahme, Jad
2021	Learning intuitive physics: a computational investigation	Piloto, Luis Rolando
2019	Learning Visual Affordances for Robotic Manipulation	Zeng, Andy
2021	Learning-Aided Design with Structured Generative Modeling	Seff, Ari
2021	Machine Learning for Decision Making: Applications to Off-Policy Learning and Combinatorial Optimization	Lu, Hao
2020	Machine learning for multi-subject fMRI analysis	Zhang, Hejia

Showing results 1 to 20 of 46 next >