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Approximate Optimality of Simple Mechanisms
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Towards Understanding and Reducing Exploitability of Linux Kernel Bugs
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Deep Reinforcement Learning based Wireless Resource Management
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Vision-Based Automation for Accelerated Structural Interpretation in Atomic-Resolution Microscopy
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Methods for Stochastic, Noisy, and Derivative-Free Optimization
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Ensembling and Data Selection for Neural Language Models, and Analysis of F-measure
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Empowering Teachers to CT-ify the Science Classroom: Moving from Educational Technology to Computational Thinking
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Measuring Model-Based Learning of Complex Systems with Multiple Data Streams
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Real-Time View Synthesis using Deep Learning
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Bayesian-robust Algorithms Analysis with Applications in Mechanism Design
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Methods for Nonlinear and Noisy Optimization
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Understanding Self-Tracked Data from Bounded Situational Contexts
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Decentralized Persistent Shape Formation in Large-Scale Homogeneous Robotic Swarms
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Physics-Informed Data-Driven Prediction and Design in Advanced Manufacturing Processes
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Incremental Structure Building and Islands
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IMPROVING SECURITY AND ROBUSTNESS OF HARDWARE AND LEARNING SYSTEMS
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Intrusion Response via Graph-based Low-level System Event Analysis
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Revelation Gap in Prior-independent Mechanism Design
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Accelerated Cardiovascular MRI using Compressed Sensing and Artificial Intelligence
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Supportive Family Communication During the Transition to College
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Understanding and Mitigating New Risks in Location-Aware Technologies
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Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts
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Approximation Algorithms for Explainable Clustering
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Reasoning and Structured Explanations in Natural Language via Analogical and Neural Learning
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Enhancing Safety and Robustness for Mission-critical Systems with Formal Methods
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On Adaptive Time-Constrained Macro X-Ray Fluorescence Scanning and Analysis of Works of Art
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On MAP Inference of Ferromagnetic Potts Models and Nonsymmetric Determinantal Point Processes
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Designing Web-Based Technologies for Data Visualization Skill Development
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Learning from Limited and Imperfect Data in Cyber-Physical System
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Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conversations
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Computational Study of News Systems: Embracing the Complexity Paradigm
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Auditing Algorithmic Communication Flows
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Computational Imaging for Accurate 3D Modeling in Diverse Fields
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Fantastic Subgraphs and How to Find Them
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Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conversations
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Data Leverage: A Framework for Empowering the Public to Mitigate Harms of Artificial Intelligence
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Machine Leaning with Heterogeneous Data
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Democratizing Power in Tech: Reconceptualizing Data Production as a Form of Labor
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Investigating Student Self-Perceptions During The Programming Process
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Towards modeling closed-loop sensorimotor integration in tactile sensing systems
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Revisiting Software-based Memory Management
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Data-Driven and Diversity-Enhanced Design of Heterogeneous Multiscale Structures
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Re-imagining Wearable Visual Systems for Context-Aware Computing
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On the Optimality and Complexity of Reinforcement Learning
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Geometric deep learning in neuroimaging and human reward behavior
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Analytical Methods and Deep Priors on X-ray Ptychography, Computed Tomography, and Computed Laminography
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Better Reasoning for Visual Question Answering
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Score-Informed and Hierarchical Methods for Computational Musical Scene Analysis
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Machine Learning-based Health-related Behavior Detection using Wearables
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Socio-technical Systems for Identifying Latent Knowledge Gaps
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