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Showing results 1 to 20 of 44  next >
Issue DateTitleAuthor(s)
2020Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart HealthcareAKMANDOR, AYTEN OZGE
2022Advances in Data-Driven Modeling and Sensing for High-Dimensional Nonlinear SystemsOtto, Samuel Epstein
2013Applications of Machine Learning to Location DataKapicioglu, Berk
2019Bayesian latent structure discovery for large-scale neural recordingswu, anqi
2018Combinatorial Inference for Large-Scale Data AnalysisLu, Junwei
2016Extracting Cognition out of Images for the Purpose of Autonomous DrivingChen, Chenyi
2022Generalization of Deep Neural Networks in Supervised Learning, Generative Modeling, and Adaptive Data AnalysisZhang, Yi
2022Generating invariant representations with cortex-inspired models of unsupervised learningLuther, Kyle
2022Geometric and Dynamic Neural Codes of Sensory, Memory and PredictionLibby, Alexandra
2012Hierarchical Bayesian Modeling: Efficient Inference and ApplicationsWang, Chong
2017Integrating Exponential Dispersion Models to Latent StructuresBasbug, Mehmet Emin
2019Large-scale Multi-output Gaussian Processes for Clinical Decision SupportCheng, Li-Fang
2021Learned surrogates and stochastic gradients for accelerating numerical modeling, simulation, and designBeatson, Alex
2022Learning Algorithms for Intelligent Agents and MechanismsRahme, Jad
2021Learning intuitive physics: a computational investigationPiloto, Luis Rolando
2019Learning Visual Affordances for Robotic ManipulationZeng, Andy
2021Learning-Aided Design with Structured Generative ModelingSeff, Ari
2021Machine Learning for Decision Making: Applications to Off-Policy Learning and Combinatorial OptimizationLu, Hao
2020Machine learning for multi-subject fMRI analysisZhang, Hejia
2021Machine Learning Methods for Computational Social ScienceTarr, Alexander