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•Black Hat USADark Reading•Black Hat AsiaAI Business•Shahed-killing interceptor drones may look simple, but building them to keep up with the threat isn't easyBusiness Insider•Detecting Complex Money Laundering Patterns with Incremental and Distributed Graph ModelingarXiv•UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engressionarXiv•JetPrism: diagnosing convergence for generative simulation and inverse problems in nuclear physicsarXiv•SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous DrivingarXiv•DySCo: Dynamic Semantic Compression for Effective Long-term Time Series ForecastingarXiv•Model Merging via Data-Free Covariance EstimationarXiv•Massively Parallel Exact Inference for Hawkes ProcessesarXiv•Efficient and Principled Scientific Discovery through Bayesian Optimization: A TutorialarXiv•Sven: Singular Value Descent as a Computationally Efficient Natural Gradient MethodarXiv•An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance AnalysisarXiv•Forecasting Supply Chain Disruptions with Foresight LearningarXiv•Black Hat USADark Reading•Black Hat AsiaAI Business•Shahed-killing interceptor drones may look simple, but building them to keep up with the threat isn't easyBusiness Insider•Detecting Complex Money Laundering Patterns with Incremental and Distributed Graph ModelingarXiv•UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engressionarXiv•JetPrism: diagnosing convergence for generative simulation and inverse problems in nuclear physicsarXiv•SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous DrivingarXiv•DySCo: Dynamic Semantic Compression for Effective Long-term Time Series ForecastingarXiv•Model Merging via Data-Free Covariance EstimationarXiv•Massively Parallel Exact Inference for Hawkes ProcessesarXiv•Efficient and Principled Scientific Discovery through Bayesian Optimization: A TutorialarXiv•Sven: Singular Value Descent as a Computationally Efficient Natural Gradient MethodarXiv•An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance AnalysisarXiv•Forecasting Supply Chain Disruptions with Foresight LearningarXiv
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