ICML 2026 Paper Cuts Wasserstein Gradient Flow Cost From N² To N^{1.5}

🚀 New paper at ICML 2026! For Wasserstein gradient flows with N particles, the cost is N^2 due to interactions. We reduce the cost from N^2 to N^{1.5}, without sacrificing the quality simulated until convergence. The key idea is kernel thinning! ✨ 📄 https://arxiv.org/pdf/2605.28589