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S. Bursztyn, Victor
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Abraham, Ian
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Al-Bahrani, Reda
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Alharbi, Rawan
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Amartya Banerjee
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Machine Learning
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Towards Understanding and Reducing Exploitability of Linux Kernel Bugs
Approximation Algorithms for Explainable Clustering
Reasoning and Structured Explanations in Natural Language via Analogical and Neural Le...
Enhancing Safety and Robustness for Mission-critical Systems with Formal Methods
On Adaptive Time-Constrained Macro X-Ray Fluorescence Scanning and Analysis of Works o...
On MAP Inference of Ferromagnetic Potts Models and Nonsymmetric Determinantal Point Pr...
Designing Web-Based Technologies for Data Visualization Skill Development
Learning from Limited and Imperfect Data in Cyber-Physical System
Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conve...
Computational Study of News Systems: Embracing the Complexity Paradigm
Auditing Algorithmic Communication Flows
Computational Imaging for Accurate 3D Modeling in Diverse Fields
Fantastic Subgraphs and How to Find Them
Reading Users: Using Language Models to Close the Pragmatic Gap in Task-Oriented Conve...
Data Leverage: A Framework for Empowering the Public to Mitigate Harms of Artificial I...
Machine Leaning with Heterogeneous Data
Democratizing Power in Tech: Reconceptualizing Data Production as a Form of Labor
Investigating Student Self-Perceptions During The Programming Process
Towards modeling closed-loop sensorimotor integration in tactile sensing systems
Revisiting Software-based Memory Management
Data-Driven and Diversity-Enhanced Design of Heterogeneous Multiscale Structures
Re-imagining Wearable Visual Systems for Context-Aware Computing
On the Optimality and Complexity of Reinforcement Learning
Geometric deep learning in neuroimaging and human reward behavior
Analytical Methods and Deep Priors on X-ray Ptychography, Computed Tomography, and Com...
Better Reasoning for Visual Question Answering
Score-Informed and Hierarchical Methods for Computational Musical Scene Analysis
Machine Learning-based Health-related Behavior Detection using Wearables
Socio-technical Systems for Identifying Latent Knowledge Gaps
Utilizing Literature to Characterize Materials from Images
Integrating Heterogeneous Traffic Data Sources with High Definition Maps in Autonomous...
Principled Analysis of High-Dimensional Data: How to Identify Signals while under the ...
Computational Practice and Perspectives in the Arts
Enabling Robust and Secure Edge-to-Cloud Communications
(In)visible Labor: Patterns of Articulation Work in Support of Addressing the Rise and...
Approximate Optimality of Simple Mechanisms
Deep Reinforcement Learning based Wireless Resource Management
Vision-Based Automation for Accelerated Structural Interpretation in Atomic-Resolution...
Methods for Stochastic, Noisy, and Derivative-Free Optimization
Ensembling and Data Selection for Neural Language Models, and Analysis of F-measure
Empowering Teachers to CT-ify the Science Classroom: Moving from Educational Technolog...
Measuring Model-Based Learning of Complex Systems with Multiple Data Streams
Real-Time View Synthesis using Deep Learning
Bayesian-robust Algorithms Analysis with Applications in Mechanism Design
Methods for Nonlinear and Noisy Optimization
Understanding Self-Tracked Data from Bounded Situational Contexts
Decentralized Persistent Shape Formation in Large-Scale Homogeneous Robotic Swarms
Physics-Informed Data-Driven Prediction and Design in Advanced Manufacturing Processes
Incremental Structure Building and Islands
IMPROVING SECURITY AND ROBUSTNESS OF HARDWARE AND LEARNING SYSTEMS
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