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LeveragingHypernetworksandLearnableKernelsforConsumerEnergyForecastingAcrossdiverseConsumerTypes
Consumer energy forecasting is essential for managing energy consumption and planning, directly infl
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SparseAutoencodersdoNotFindCanonicalUnitsofAnalysis
A common goal of mechanistic interpretability is to decompose the activations of neural networks int
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FF7:ACodePackageforHigh-throughputCalculationsandConstructingMaterialsdatabase
Decades accumulation of theory simulations lead to boom in material database, which combined with ma
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EnseSmells:Deepensembleandprogramminglanguagemodelsforautomatedcodesmellsdetection
A smell in software source code denotes an indication of suboptimal design and implementation decisi
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TutorialonUsingMachineLearningandDeepLearningModelsforMentalIllnessdetection
Social media has become an important source for understanding mental health, providing researchers w
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OpenGrok:EnhancingSNsdataProcessingwithDistilledKnowledgeandMask-likeMechanisms
This report details Lumen Labs' novel approach to processing Social Networking Service (SNS) data. W
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AutonomousdeepAgent
This technical brief introduces Deep Agent, an advanced autonomous AI system designed to manage comp
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RandomnessofLow-LayerParametersdeterminesConfusingSamplesinTermsofInteractionRepresentationsofaDNN
In this paper, we find that the complexity of interactions encoded by a deep neural network (DNN) ca
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LearningHumanoidStanding-upControlacrossdiversePostures
Standing-up control is crucial for humanoid robots, with the potential for integration into current
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Efficient4DfMRIAsdClassificationusingSpatial-Temporal-Omics-basedLearningFramework
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder impacting social and behavioral deve
