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Statistical insights into deep learning and flexible causal inference
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Ultra-low-latency deep neural network inference through custom combinational logic
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Invariant representation learning for robust and fair predictions
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Human appearance analysis and synthesis using deep learning
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Edge-cloud collaboration for enhanced artificial intelligence
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Efficient crowd-based visual learning for edge devices
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Improving efficiency to advance resilient computing
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Data-driven image analysis, modeling, synthesis and anomaly localization techniques
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Essays on the estimation and inference of heterogeneous treatment effects
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Behavior understanding from speech under constrained conditions: exploring sparse networks, transfer and unsupervised learning
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Building straggler-resilient and private machine learning systems in the cloud
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Understanding sources of variability in learning robust deep audio representations
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Molecular classification of breast cancer specimens from tissue morphology
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Efficient estimation and discriminative training for the Total Variability Model
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Machine-learning approaches for modeling of complex materials and media
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Smarter markets for a smarter grid: pricing randomness, flexibility and risk
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Noise robust speech recognition based on fundamental functional principals of the brain
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Efficient pipelines for vision-based context sensing
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Evaluating machine learning tools for humanitarian road network mapping
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Empirical study of informational regularizations in learning useful and interpretable representations
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The use of dynamic synapse neural networks for speech processing tasks
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Deep generative models for time series counterfactual inference
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Statistical modeling and machine learning for shape accuracy control in additive manufacturing
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Emotional speech production: from data to computational models and applications
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Photophysiological parameters for CO2 and N2 fixation in trichodesmium spp. in natural populations and culture nutrient limitation experiments
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