[2404.19756] KAN: Kolmogorov-Arnold Networks
https://arxiv.org/abs/2404.19756
https://arxiv.org/abs/2404.19756
arXiv.org
KAN: Kolmogorov-Arnold Networks
Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs have fixed activation...
Pydantic Logfire | https://pydantic.dev/logfire
pydantic.dev
Pydantic Logfire: AI Observability for LLMs, Apps & RAG
Pydantic Logfire: Production-grade AI & general observability built on OpenTelemetry. Works with Python, JavaScript/TypeScript, Rust, Go, Java, and any OTel-compatible language. For LLMs, Agents, API & Apps. Distributed tracing, evals & cost tracking
Brain connectivity changes to fast versus slow dopamine increases | Neuropsychopharmacology
https://www.nature.com/articles/s41386-024-01803-8
https://www.nature.com/articles/s41386-024-01803-8
Nature
Brain connectivity changes to fast versus slow dopamine increases
Neuropsychopharmacology - Brain connectivity changes to fast versus slow dopamine increases
Scaling hierarchical agglomerative clustering to trillion-edge graphs
http://research.google/blog/scaling-hierarchical-agglomerative-clustering-to-trillion-edge-graphs/
http://research.google/blog/scaling-hierarchical-agglomerative-clustering-to-trillion-edge-graphs/
[2205.07424] Trustworthy Graph Neural Networks: Aspects, Methods and Trends
https://arxiv.org/abs/2205.07424
https://arxiv.org/abs/2205.07424
arXiv.org
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Graph neural networks (GNNs) have emerged as a series of competent graph learning methods for diverse real-world scenarios, ranging from daily applications like recommendation systems and question...
Andrey Kolmogorov - Wikipedia
https://en.wikipedia.org/wiki/Andrey_Kolmogorov
https://en.wikipedia.org/wiki/Andrey_Kolmogorov
Machine Unlearning in 2024 - Ken Ziyu Liu - Stanford Computer Science
https://ai.stanford.edu/~kzliu/blog/unlearning
https://ai.stanford.edu/~kzliu/blog/unlearning