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Showing results 12 to 31 of 63 < previous   next >
Issue DateTitleAuthor(s)
2023From mind to machine: neural circuits, learning algorithms, and beyondYang, Runzhe
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
2023Gradient-Based Shape Optimization for Engineering Using Machine LearningSun, Xingyuan
2012Hierarchical Bayesian Modeling: Efficient Inference and ApplicationsWang, Chong
2017Integrating Exponential Dispersion Models to Latent StructuresBasbug, Mehmet Emin
2023Interpretable Machine Learning for the Physical SciencesCranmer, Miles Donald
2023Investigating Persuasiveness in Large Language ModelsEkpo, Promise Osaine
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
2023Learning Language through Interactions with the Digital WorldYang, John Boda
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
2023Macroeconomics and Heterogeneous Reality with Machine LearningYang, Yucheng