Understanding the Design of Optimizers with me
dev.to·11h·
Discuss: DEV
🎪Convex Optimization
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A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·21h·
Discuss: Substack
🎪Convex Optimization
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Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
arxiv.org·10h
🔢Embeddings
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Don’t Just Normalize, Batch Normalize! A Guide to Stable Neural Networks
pub.towardsai.net·9h
📊Empirical Bayes
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·12h·
Discuss: r/LLM
📊Empirical Bayes
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Yes, you should understand backprop (2016)
karpathy.medium.com·1d·
Discuss: Hacker News
📊Empirical Bayes
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·3h
📊Empirical Bayes
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Spiking Neural Networks: The Future of Brain-Inspired Computing
arxiv.org·10h
🔢Embeddings
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Fast, Scalable LDA in C++ with Stochastic Variational Inference
github.com·46m·
Discuss: r/cpp
🔢Embeddings
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·1d·
Discuss: DEV
🔢Embeddings
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Understanding Federated Learning: Best Practices for Implementing Privacy-Preserving AI in C# Projects
dev.to·7h·
Discuss: DEV
🦆DuckDB
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Deep Learning Part — 9 : Optimizers are what you need.
pub.towardsai.net·3d
🎪Convex Optimization
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Active transfer learning for structural health monitoring
arxiv.org·10h
📊Empirical Bayes
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A Thesis and Playbook for Edge AI
ondeviceguy.substack.com·5h·
Discuss: Substack
🔲Zarr
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Hybrid channel attention network for auditory attention detection
nature.com·15h
📐Matrix Factorization
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Can-t stop till you get enough
cant.bearblog.dev·21h·
Discuss: Hacker News
🗂️AnnData
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Enhanced Richardson Extrapolation via Adaptive Kernel Regression and Uncertainty Quantification
dev.to·1h·
Discuss: DEV
📊Empirical Bayes
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Multi-Representation Attention Framework for Underwater Bioacoustic Denoising and Recognition
arxiv.org·10h
🔢Embeddings
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