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Showing results 1 to 20 of 29  next >
Issue DateTitleAuthor(s)
2016Advances in Fault Diagnosis Automation for Silicon PrototypesZhu, Charlie Shucheng
2012Alignment and Supervised Learning with Functional Neuroimaging DataLorbert, Alexander
2021Bayesian Modeling of Single Cell ExpressionVerma, Archit
2017Black Box Variational Inference: Scalable, Generic Bayesian Computation and its ApplicationsRanganath, Rajesh
2016Computational Methods for Exploring Human BehaviorChaney, Allison June Barlow
2013Design of Energy-efficient Sensing Systems with Direct Computations on Compressively-sensed DataShoaib, Mohammed
2011Deterministic Compressed SensingJafarpour, Sina
2021Essays on Granularity and Machine Learning in MacroeconomicsVogler, Maximilian
2021Essays on Machine Learning Methods and Household DynamicsSorg-Langhans, George Leopold
2016Extracting Cognition out of Images for the Purpose of Autonomous DrivingChen, Chenyi
2020HARDWARE ACCELERATION TO ADDRESS THE COSTS OF DATA MOVEMENTValavi, Hossein
2017Integrating Exponential Dispersion Models to Latent StructuresBasbug, Mehmet Emin
2021Investigation of Biological Systems at Low Temperatures using Molecular SimulationKozuch, Daniel Jeffrey
2019Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time HorizonLee, Donghun
2019Learning Visual Affordances for Robotic ManipulationZeng, Andy
2020Machine learning for multi-scale molecular modeling: theories, algorithms, and applicationsZhang, Linfeng
2020Methods for Reinforcement Learning in Clinical Decision SupportPrasad, Niranjani
2017Multi-view Representation Learning with Applications to Functional Neuroimaging DataChen, Po-Hsuan
2021Neural Network Learning: A Multiscale-Entropy and Self-Similarity ApproachAsadi, Amir Reza
2022Overcoming Sampling and Exploration Challenges in Deep Reinforcement LearningSimmons-Edler, Riley