Georgia Tech — CS Research

Computer science research from Georgia Tech, spanning robotics, machine learning, systems, and security.

Sample of the collection (25 of 8,096 items)

• A WebApp for Digitalized Exploration of Binary Vapor–Liquid Equilibria and Distillation Zhejiang University The understanding of vapor–liquid equilibrium (VLE) is of great importance as it provides data and theoretical support for applications…
• Kernel Selection is Model Selection: A Unified Complexity-Penalized Approach for MMD Two-Sample Tests Georgia Institute of Technology The Maximum Mean Discrepancy (MMD) is a cornerstone statistic for nonparametric two-sample testing, but its test power is dictated…
• Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models Georgia Institute of Technology High-fidelity simulations, such as computational fluid dynamics and finite element analysis, are essential for modeling complex…
• From Click to Campus: The Role of College Websites in Military-Affiliated Student Success Temple College Military-affiliated students (MAS) increasingly rely on institutional websites as their primary advising and decision-support tool due…
• Neural simulation-based inference of the Higgs trilinear self-coupling via off-shell Higgs production Georgia Institute of Technology Abstract One of the forthcoming major challenges in particle physics is the experimental determination of the Higgs trilinear…
• A Novel Automatic Framework for Speaker Drift Detection in Synthesized Speech University of Amsterdam Recent diffusion-based text-to-speech (TTS) models achieve high naturalness and expressiveness, yet often suffer from speaker drift, a…
• Fully 3D‐Printed Wave‐Wound Electromagnetic Motors Georgia Institute of Technology ABSTRACT Additive manufacturing has become an enabling technology, but existing techniques are not capable of directly 3D printing high…
• Polysemantic Experts, Monosemantic Paths: Routing as Control in MoEs Georgia Institute of Technology An LLM's residual stream is both state and instruction: it encodes the current context and determines the next transformation. We…
• Multimodal sentiment analysis of SME reviews: a BERT–BiLSTM–attention hybrid model with visual feature fusion Georgia Institute of Technology As online platforms gain popularity among consumers for feedback about products or services through reviews, small and medium-sized…
• A Formal Framework for Critical-Mass Collapse in Online Multiplayer Games Georgia Institute of Technology Online multiplayer games are population-dependent systems whose playability depends on the continued presence of an active player base.…
• Comparative Analysis of Nuclear Data Libraries for the OECD/NEA Fluoride-Salt-Cooled High-Temperature Reactor Benchmark, Phase 1 Institut polytechnique de Grenoble Abstract Basic feature of the advanced nuclear reactors is that they aim to enhance performance in terms of economy and safety of their…
• Pathways to engaging in community-centered earthquake science: Lessons learned and tangible tools Yolanda C. Lin et al. Although the importance of building meaningful connections between earthquake science research and local communities is widely…
• Magnetic Modeling and Simulation for Computer Graphics Centre Inria de Saclay Abstract Physics‐based modeling and simulation have long been central to computer graphics, enabling the creation of realistic and…
• Seabird trajectories map onto a reduced optimal-control bound for dynamic soaring. Georgia Institute of Technology Dynamic soaring allows seabirds to harvest mechanical energy from vertical wind shear, but field trajectories lack a benchmark for…
• Situated Imaginaries: Designing AI Futures with Computer Science Teaching Assistants Georgia Institute of Technology Teaching assistants (TAs) play a critical role in computing and HCI education, yet little is known about how they perceive and use AI…
• Does a Picture Paint a Thousand Words? Using Visual and Textual Channels to Understand Attitudes and Beliefs Emory University In Human-Computer Interaction, eliciting user attitudes and beliefs is crucial for understanding user interactions with technology.…
• Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones Georgia Institute of Technology Silicones are valued for durability, elasticity, low reactivity, and availability of biocompatible formulations, making them suitable…
• Exploring Teacher-Chatbot Interaction and Affect in Block-Based Programming North Carolina State University AI-based chatbots have the potential to accelerate learning and teaching, but may also have counterproductive consequences without…
• Whose Time Counts? Temporal Arrangements in Sociotechnical Infrastructures Georgia Institute of Technology This paper examines how infrastructures organize time in ways that unevenly distribute burden, access, and opportunity across…
• Key Competencies Necessary for Advancing Human–Wearable Robot Interactions in the Construction Industry: A Systematic Review Georgia Institute of Technology Wearable robots have been proposed as a potential solution to the growing problem of work-related musculoskeletal disorders (WMSDs) in…
• Spectral Graph Features for Reference-free RNA 3D Quality Assessment University of Chinese Academy of Sciences Motivation: Existing RNA 3D structure quality assessment (QA) methods rely on local geometric descriptors or statistical potentials that…
• Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration Purdue University West Lafayette Vector Symbolic Architectures (VSAs), also known as hyperdimensional (HD) computing, are increasingly deployed in cognitive applications…
• Lap Time Performance Sensitivity to Tire Model Parameters: An Optimal Control Framework for Model Selection and Calibration Georgia Institute of Technology <div class="section abstract"><div class="htmlview paragraph">The push for vehicle development through virtual prototyping…
• Biohybrid Robots with Embedded Conductive Fibers for Actuation, Sensing, and Closed-loop Control Northwestern University Living organisms achieve adaptive actuation through the seamless integration of neural motor control circuitry and proprioceptive…
• Synthesizing Interacting Model‐Based Optimal Control and Model‐Free Learning Approaches for Nonlinear Systems Georgia Institute of Technology ABSTRACT In this paper, we consider the optimal control problem for an unknown continuous‐time nonlinear system, and present a framework…

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