DualFlexKAN: Dual-stage Kolmogorov-Arnold Networks with Independent Function Control
DualFlexKAN: Dual-stage Kolmogorov-Arnold Networks with Independent Function Control explores DualFlexKAN offers a more efficient and flexible alternative to MLPs and KANs by decoupling input transformations and output activations, enabling hybrid networks with improved accuracy and reduced parameter count.. Commercial viability score: 7/10 in Novel Architectures.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisMultilevel Training for Kolmogorov Arnold NetworksViability: 6.0
- Builds On ThisPAKAN: Pixel Adaptive Kolmogorov-Arnold Network Modules for PansharpeningViability: 4.0
- Builds On ThisClifford Kolmogorov-Arnold NetworksViability: 3.0
- Builds On ThisKANtize: Exploring Low-bit Quantization of Kolmogorov-Arnold Networks for Efficient InferenceViability: 3.0
- Builds On ThisSINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networksViability: 3.0