🤖 Machine Learning - weblwabl

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The Differentiable Auditory Loop (DAL): An ML Framework for Hyper-Personalized Hearing Aids

🧠Computational Neuroscience Academic

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StageFrontier: Synchronization-Aware Stage Accounting for Distributed ML Training

🌐Distributed Systems Academic

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Closed-Form Spectral Regularization for Multi-Task Model Merging

🔢Linear Algebra Academic

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Video-Rate Streaming Stylization on a Vision-Aware MLLM-Conditioned Edit Diffusion: Asymmetric Batched Inference on a Distilled UNet + MLLM Text Encoder

🖥️GPU Computing Academic

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MimeLens: Position-Agnostic Content-Type Detection for Binary Fragments

📊Vector DBs Academic

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Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections

🌐Distributed Systems Academic

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Instance-Level Post Hoc Uncertainty Quantification in Object Detection

📊Vector DBs Academic

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SABLE: GPU-Based Power Flow Accelerator for Sparsity-Aware Batched Learning

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TensorBench: Benchmarking Coding Agents on a Compiler-Based Tensor Framework

🔢Linear Algebra Academic

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Weighted Sum-Rate Enhancement for Flexible Intelligent Metasurface-Assisted Multicell Systems

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RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation

📐Mathematics Academic

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How abundant are good interpolators?

🔢Linear Algebra Academic

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StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets

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ReCache: Learning Budget-Aware Caching Schedules for Diffusion Models via REINFORCE

🧠Computational Neuroscience Academic

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PC Layer: Polynomial Weight Preconditioning for Improving LLM Pre-Training

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

The Differentiable Auditory Loop (DAL): An ML Framework for Hyper-Personalized Hearing Aids

StageFrontier: Synchronization-Aware Stage Accounting for Distributed ML Training

Closed-Form Spectral Regularization for Multi-Task Model Merging

Video-Rate Streaming Stylization on a Vision-Aware MLLM-Conditioned Edit Diffusion: Asymmetric Batched Inference on a Distilled UNet + MLLM Text Encoder

MimeLens: Position-Agnostic Content-Type Detection for Binary Fragments

Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections

Instance-Level Post Hoc Uncertainty Quantification in Object Detection

SABLE: GPU-Based Power Flow Accelerator for Sparsity-Aware Batched Learning

TensorBench: Benchmarking Coding Agents on a Compiler-Based Tensor Framework

Weighted Sum-Rate Enhancement for Flexible Intelligent Metasurface-Assisted Multicell Systems

RadioDiff-Inv2: Differentiable Diffusion Inversion under Location Drift from Sparse Noisy Measurements for Radio Map Estimation

How abundant are good interpolators?

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets

ReCache: Learning Budget-Aware Caching Schedules for Diffusion Models via REINFORCE