ML in the Home
blog.raymond.burkholder.net·2d
📈Time Series
davidchisnall/igk: I got Knuth'd: A compiler for documents
github.com·23h
📝Concrete Syntax
What are memories made of? A survey of neuroscientists
journals.plos.org·2h·
Discuss: Hacker News
🧲Magnetic Domains
Driving cost-efficiency and speed in claims data processing with Amazon Nova Micro and Amazon Nova Lite
aws.amazon.com·12h
🌊Stream Processing
Learn – Computer-Aided Instruction on Unix
wolfram.schneider.org·5h·
Discuss: Hacker News
📟Terminal Typography
Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation
arxiv.org·1h
🌀Riemannian Computing
Transforming H&E images into IHC: A Variance-Penalized GAN for Precision Oncology
arxiv.org·2d
🌀Riemannian Computing
MDeRainNet: An Efficient Macro-pixel Image Rain Removal Network
arxiv.org·2d
👁️Perceptual Hashing
HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
arxiv.org·2d
🤖Advanced OCR
ANOVA-boosting for Random Fourier Features
arxiv.org·1d
🧠Machine Learning
Curating art exhibitions using machine learning
arxiv.org·1d
🏺Computational Archaeology
Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights
arxiv.org·2d
🤖Advanced OCR
Angio-Diff: Learning a Self-Supervised Adversarial Diffusion Model for Angiographic Geometry Generation
arxiv.org·1d
🌀Riemannian Computing
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network
arxiv.org·1d
🌀Differential Geometry
Airway Skill Assessment with Spatiotemporal Attention Mechanisms Using Human Gaze
arxiv.org·1d
🧠Machine Learning
GLIMPSE: Gradient-Layer Importance Mapping for Prompted Visual Saliency Explanation for Generative LVLMs
arxiv.org·1d
📊Learned Metrics
Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI
arxiv.org·1d
🧠Machine Learning
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
arxiv.org·1h
🧠Intelligence Compression
Machine Learning Fundamentals: active learning with python
dev.to·11h·
Discuss: DEV
🧠Machine Learning
An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking
arxiv.org·1h
🕸️Tensor Networks