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Scoured 24362 posts in 19.0 ms
On associative neural networks for sparse patterns with huge capacities  🧠Machine Learning
arxiv.org·3d·
Show HN: AI Engineering AI-native Self-learning course repo  🧠Neural Codecs
aiengineeringfromscratch.com·1d·Hacker News·
A Comparative Investigation of Thermodynamic Structure-Informed Neural Networks  🧠Machine Learning
arxiv.org·2d·
Neural Network Conversion of Machine Learning Pipelines  📊Quantization
arxiv.org·6d·
Divergence-free Linearized Neural Networks: Integral Representation and Optimal Approximation Rates  🌀Riemannian Computing
arxiv.org·2d·
Spectral Higher-Order Neural Networks  🌀Hyperbolic Geometry
arxiv.org·2d·
From Pen to Pixel: Translating Hand-Drawn Plots into Graphical APIs via a Novel Benchmark and Efficient Adapter  🎨LUT Compression
arxiv.org·3d·
Compiling Code LLMs into Lightweight Executables  🦀Rust Borrowing
arxiv.org·1d·
Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification  🌈Spectral Methods
arxiv.org·6d·
The Geometric Cost of Normalization: Affine Bounds on the Bayesian Complexity of Neural Networks  🧮Kolmogorov Bounds
arxiv.org·2d·
Lipschitz verification of neural networks through training  🎯Performance Proofs
arxiv.org·2d·
Domain decomposition of large neural network surrogate models  🧠Machine Learning
arxiv.org·3d·
SiPaKosa: A Comprehensive Corpus of Canonical and Classical Buddhist Texts in Sinhala and Pali  📜Palimpsest Analysis
arxiv.org·1d·
Geometry-aware similarity metrics for neural representations on Riemannian and statistical manifolds  🌀Riemannian Computing
arxiv.org·2d·
A Systematic Empirical Study of Grokking: Depth, Architecture, Activation, and Regularization  📊Learned Metrics
arxiv.org·6d·
Modeling isotropic polyconvex hyperelasticity by neural networks -- sufficient and necessary criteria for compressible and incompressible materials  🌀Differential Geometry
arxiv.org·2d·
Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation  🌉Galois Connections
arxiv.org·6d·
Spectral Signatures of Data Quality: Eigenvalue Tail Index as a Diagnostic for Label Noise in Neural Networks  🧠Machine Learning
arxiv.org·2d·
A Compression Perspective on Simplicity Bias  🧠Neural Compression
arxiv.org·3d·
Physics-informed structured learning of a class of recurrent neural networks with guaranteed properties  🌀Riemannian Computing
arxiv.org·6d·

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