Riemannian conjugate Sobolev gradients and their application to compute ground states of BECs
arxiv.org·3d
🌀Differential Geometry
Unsupervised pretraining in biological neural networks
nature.com·1d
🧠Machine Learning
Enhancing Content Diversity with NLP-Based Clustering
hackernoon.com·15h
📚Document Clustering
PhD position in algebraic geometry and representation theory
pbelmans.ncag.info·1d
🌀Differential Geometry
Spherical CNNs (2018)
arxiv.org·3d·
Discuss: Hacker News
🧠Machine Learning
Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation
arxiv.org·1d
🕸️Graph Embeddings
Interpretability and Generalization Bounds for Learning Spatial Physics
arxiv.org·1d
🧠Machine Learning
Hyper-Local Deformable Transformers for Text Spotting on Historical Maps
arxiv.org·1d
🤖AI Paleography
Digital twin for virtual sensing of ferry quays via a Gaussian Process Latent Force Model
arxiv.org·1d
🏺Computational Archaeology
Seeing Like a Machine: Understanding Convolutional Neural Networks (CNNs)
dev.to·1d·
Discuss: DEV
🤖Advanced OCR
Time-Optimized Safe Navigation in Unstructured Environments through Learning Based Depth Completion
arxiv.org·1d
🏺Computational Archaeology
Deploying and Evaluating Multiple Deep Learning Models on Edge Devices for Diabetic Retinopathy Detection
arxiv.org·1d
🌀Hyperbolic Geometry
Robust Physics-Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data
arxiv.org·2d
🌀Differential Geometry
Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation
arxiv.org·1d
🕸️Tensor Networks
Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work
towardsdatascience.com·8h
✨Effect Handlers
Spectral Contraction of Boundary-Weighted Filters on delta-Hyperbolic Graphs
arxiv.org·1d
🌈Spectral Methods
Deep Graph Anomaly Detection: A Survey and New Perspectives
arxiv.org·1d
🕸️Graph Embeddings
Contrastive Self-Supervised Learning As Neural Manifold Packing
arxiv.org·3d
🧠Machine Learning
Lambda : History-Aware Bayesian Jump Event Detector for Time Series (with Dual EYE Mode)
dev.to·7h·
Discuss: DEV
🧬Bitstream Evolution
Time-dependent density estimation using binary classifiers
arxiv.org·1d
🧠Machine Learning