Reaching decisions in dynamic environments
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Controlling information in neural networks for fairness and privacy
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Point-based representations for 3D perception and reconstruction
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Statistical downscaling with artificial neural network
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The neural correlates of skilled reading: an MRI investigation of phonological processing
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Spoken language processing in low resource scenarios with applications in automated behavioral coding
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Data-efficient image and vision-and-language synthesis and classification
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High throughput computational framework for synthesis and accelerated discovery of dielectric polymer materials using polarizable reactive molecular dynamics and graph neural networks
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Modeling, learning, and leveraging similarity
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Model-driven situational awareness in large-scale, complex systems
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Non-traditional resources and improved tools for low-resource machine translation
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Neural network integration of multiscale and multimodal cell imaging using semantic parts
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Designing data-effective machine learning pipeline in application to physics and material science
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Differentially private learned models for location services
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Computational modeling and utilization of attention, surprise and attention gating
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Neural substrates of motor memory consolidation: a double dissociation of primary motor cortex and dorsolateral prefrontal cortex induced by practice structure
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Sharpness analysis of neural networks for physics simulations
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Model-based studies of control strategies for noisy, redundant musculoskeletal systems
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Event-centric reasoning with neuro-symbolic networks and knowledge incorporation
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Modeling expert assessment of empathy through multimodal signal cues
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Biologically inspired auditory attention models with applications in speech and audio processing
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Predicting alcohol use: a nonlinear model with expectancies and memory associations
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Bayesian hierarchical and joint modeling of the reversal learning task
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An in vitro model of a retinal prosthesis
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Language understanding in context: incorporating information about sources and targets
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