🤖 Paleographic ML

Medieval Scripts, Character Recognition, Historical Manuscripts, Neural Networks

More on GPT-5 pseudo-text in graphics
languagelog.ldc.upenn.edu·2d
🖋Typography
Reloading classes in python and shared borders
andrewpwheeler.com·4h·
Discuss: Hacker News
🦀Rust Macros
Notes on Autograd
aschrein.github.io·21h·
Discuss: Hacker News
⚡Incremental Computation
Interpretable Early Failure Detection via Machine Learning and Trace Checking-based Monitoring
arxiv.org·11h
🔧Hardware Verification
Effective Clustering for Large Multi-Relational Graphs
arxiv.org·11h
🌊Spectral Clustering
CEIDM: A Controlled Entity and Interaction Diffusion Model for Enhanced Text-to-Image Generation
arxiv.org·11h
🏛Digital humanities
A Laplace diffusion-based transformer model for heart rate forecasting within daily activity context
arxiv.org·11h
🎙️Whisper
The Impact of Visual Segmentation on Lexical Word Recognition
arxiv.org·11h
📄OCR
A biological vision inspired framework for machine perception of abutting grating illusory contours
arxiv.org·11h
🤖Advanced OCR
Do Multimodal LLMs See Sentiment?
arxiv.org·11h
🤖Advanced OCR
Contributions to Label-Efficient Learning in Computer Vision and Remote Sensing
arxiv.org·1d
📐Vector Similarity
Large Language Model-Based Automatic Formulation for Stochastic Optimization Models
arxiv.org·11h
🧠Machine Learning
Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration
arxiv.org·11h
🌀Differential Geometry
NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows
arxiv.org·11h
🎙️Whisper
My Journey with Sentence Transformers, OpenAI Embeddings, and Vector Databases
dev.to·1d·
Discuss: DEV
🗂️Vector Databases
Benchmarking Class Activation Map Methods for Explainable Brain Hemorrhage Classification on Hemorica Dataset
arxiv.org·11h
🧠Machine Learning
L-XAIDS: A LIME-based eXplainable AI framework for Intrusion Detection Systems
arxiv.org·11h
🔍Vector Forensics
Classification in Supervised Learning: Classify Me If You Can
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
arxiv.org·11h
💻Local LLMs
On the Edge of Memorization in Diffusion Models
arxiv.org·11h
📊Learned Metrics