SUPER Decoder Block for Reconstruction-Aware U-Net Variants
arxiv.org·9h
📊Rate-Distortion Theory
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Unlocking AI Potential: Massively Parallel Search for Complex Problems
⚡Parallel Computing
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Picking a Representative Set of Solutions in Multiobjective Optimization: Axioms, Algorithms, and Experiments
arxiv.org·9h
🎯Performance Proofs
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Neural Local Wasserstein Regression
arxiv.org·9h
🧠Machine Learning
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PINGS-X: Physics-Informed Normalized Gaussian Splatting with Axes Alignment for Efficient Super-Resolution of 4D Flow MRI
arxiv.org·9h
🌀Riemannian Computing
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From Apache Spark to Fighting Health Insurance Denials • Holden Karau & Julian Wood • GOTO 2025
youtube.com·1h
🤐Secure Multiparty
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Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
arxiv.org·9h
📊Learned Metrics
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Maximizing Efficiency of Dataset Compression for Machine Learning Potentials With Information Theory
arxiv.org·3d
🧠Machine Learning
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ELI5 explanation of the CAP Theorem
⚛️Information Physics
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Draft and Refine with Visual Experts
arxiv.org·9h
👁️Constructive OCR
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Accelerating Controllable Generation via Hybrid-grained Cache
arxiv.org·9h
💨Cache Optimization
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CrossMed: A Multimodal Cross-Task Benchmark for Compositional Generalization in Medical Imaging
arxiv.org·9h
🤖Advanced OCR
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RealisticDreamer: Guidance Score Distillation for Few-shot Gaussian Splatting
arxiv.org·9h
🧠Learned Codecs
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Reverberation: Learning the Latencies Before Forecasting Trajectories
arxiv.org·9h
🌀Riemannian Computing
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