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🌀 Differential Geometry

Manifold Learning, Riemannian Computing, Curvature Analysis, Geometric Data

Show HN: Requests-Based Google Maps Scraper
apify.com·2h·
Discuss: Hacker News
🔍BitFunnel
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·19h·
Discuss: Hacker News
📲Digitization
Uncertainty Quantification on Graph Learning: A Survey
arxiv.org·18h
🕸️Graph Embeddings
Pix2Geomodel: A Next-Generation Reservoir Geomodeling with Property-to-Property Translation
arxiv.org·1d
🏺Computational Archaeology
SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification
arxiv.org·1d
🗂️Vector Databases
A Set-to-Set Distance Measure in Hyperbolic Space
arxiv.org·1d
🌀Hyperbolic Geometry
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
arxiv.org·1d
🧮Prolog Parsing
Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data
arxiv.org·1d
🧠Machine Learning
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
arxiv.org·1d·
Discuss: Hacker News
🧮Kolmogorov Complexity
Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance
arxiv.org·18h
🤖Advanced OCR
Probabilistic and reinforced mining of association rules
arxiv.org·1d
🧠Learned Indexes
Structural Optimal Jacobian Accumulation and Minimum Edge Count are NP-Complete Under Vertex Elimination
arxiv.org·1d
🎯Performance Proofs
Flatness After All?
arxiv.org·1d
📊Learned Metrics
MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection
arxiv.org·18h
🧮Vector Embeddings
A predictor-corrector scheme for approximating signed distances using finite element methods
arxiv.org·1d
📊Computational Geometry
Variational Quantum Latent Encoding for Topology Optimization
arxiv.org·1d
🌍Topological Codes
Gaussian Processes and Reproducing Kernels: Connections and Equivalences
arxiv.org·1d
🧠Machine Learning
Understanding Backpropagation and Gradient Descent in Neural Networks
dev.to·2d·
Discuss: DEV
🧠Neural Codecs
Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes
arxiv.org·18h
🔍Type Inference
On Equivariant Model Selection through the Lens of Uncertainty
arxiv.org·1d
🌀Riemannian Computing
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