External

🤔 Ever wondered why Relaxed Group Convolutions take the lead even in 𝐟𝐮𝐥𝐥𝐲 equivariant tasks? We dive deep into how the equivariance imposed on a network affects its training dynamics 🔎

🔍 Searching for the Best Framework for GDL+TDL Methods? Look no further! This blog post reveals how the TopoX suite boosts modularity and optimizes time and memory usage for methods like Equivariant Simplicial Complexes 🚀

What if CNNs understood color transformations as naturally as spatial ones? 🌈 We explore Color Equivariant Networks, extend them beyond hue shifts into HSV and LAB color spaces, and uncover how color symmetries can improve robustness and image classification performance.