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Results for: Nikhil Muralidhar

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Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids
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Incorporating Prior Domain Knowledge into Deep Neural Networks
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Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores
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Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
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Using AntiPatterns to avoid MLOps Mistakes
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Congratulations to Sanghani Center's 2022 Summer and Fall Graduates , article
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DAC Student Spotlight: Nikhil Muralidhar , article
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illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems
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Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems
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Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach
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Cut-n-Reveal: Time Series Segmentations with Explanations
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Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
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Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency
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Efficient Generative Wireless Anomaly Detection for Next Generation Networks
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Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic
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Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
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Sanghani Center students spend summer months gaining real-world experience at companies, labs, and organizations across the country , article
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Virginia Tech researchers garner two major awards in COVID-19 forecasting challenges , article
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Students focus on COVID-19 impacts on sustainability, education, and society , article
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Urban computing program provides Ph.D. students with valuable skills to address problems faced by cities , article
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Nikhil Muralidhar , bio