Reconstruction of glymphatic transport fields from subject-specific imaging data, with particular emphasis on cerebrospinal fluid flow and tracer conservation

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An approach to encode divergence-free stress fields in neural approximations based on stress potentials

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On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

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A Study on the Resource Utilization and User Behavior on Titan Supercomputer

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Transient Multiscale Workflow for Thermal Analysis of 3DHI Chip Stack

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Sim-FA: A Simulator Frontend for Asynchronous Pipelines

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Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference

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VitaLLM: A Versatile and Tiny Accelerator for Mixed-Precision LLM Inference on Edge Devices

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A PVT-Resilient Subthreshold SRAM-Based In-Memory Computing Accelerator with In-Situ Regulation for Energy-Efficient Spiking Neural Networks

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DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference

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GeoContra: From Fluent GIS Code to Verifiable Spatial Analysis with Geography-Grounded Repair

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To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling

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Empowering Heterogeneous Graph Foundation Models via Decoupled Relation Alignment

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Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior

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Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation

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AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments

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Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision

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Born-Qualified: An Autonomous Framework for Deploying Advanced Energy and Electronic Materials

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Possibilistic Predictive Uncertainty for Deep Learning

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Fairness of Classifiers in the Presence of Constraints between Features

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