Kolmogorov-Arnold Networks: MLP vs KAN, Math, B-Splines, Universal Approximation Theorem

Kolmogorov-Arnold Networks: MLP vs KAN, Math, B-Splines, Universal Approximation Theorem
Share:

Download MP3


Similar Tracks

Mamba and S4 Explained: Architecture, Parallel Scan, Kernel Fusion, Recurrent, Convolution, Math Umar Jamil
KAN: Kolmogorov-Arnold Networks | Ziming Liu Valence Labs
The Continuity of Splines Freya Holmér
Day-5 : GIAN course on Renewable Energy Systems in Smart Grids (Course ID: 2412129) Dr Siva Kumar G
Mistral / Mixtral Explained: Sliding Window Attention, Sparse Mixture of Experts, Rolling Buffer Umar Jamil
The Kolmogorov-Arnold Theorem Serrano.Academy
Ziming Liu | KAN: Kolmogorov-Arnold Networks London Machine Learning Meetup
Kolmogorov Arnold Networks (KAN) Paper Explained - An exciting new paradigm for Deep Learning? Neural Breakdown with AVB
LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU Umar Jamil
Abstracting Failures Away From Stateful Dataflow Systems | KTH MSc Thesis Defense 2024 Aleksey Veresov
Kolmogorov-Arnold Networks (KANs) - What are they and how do they work? Serrano.Academy
ainlp_ch14 cnn2d_fmnist Hongsuk Yi
Reinforcement Learning from Human Feedback explained with math derivations and the PyTorch code. Umar Jamil
Flash Attention derived and coded from first principles with Triton (Python) Umar Jamil
Was "Machine Learning 2.0" All Hype? The Kolmogorov-Arnold Network Explained bycloud
ML Interpretability: feature visualization, adversarial example, interp. for language models Umar Jamil
C Programming Tutorial for Beginners freeCodeCamp.org
Yang Zhang: "Transfer learning large-scale simulation and kinetic magnetism in moiré semiconductor" Quantum Matter Seminars NU