A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning
arXiv:2504.20310v2 Announce Type: replace-cross Abstract: In this paper, we initiate a cryptographically inspired theoretical study of detection versus mitigation of…
arXiv:2504.20310v2 Announce Type: replace-cross Abstract: In this paper, we initiate a cryptographically inspired theoretical study of detection versus mitigation of…
arXiv:2412.20429v4 Announce Type: replace-cross Abstract: To improve the cognitive autonomy of humanoid robots, this research proposes a multi-scenario reasoning architecture…
arXiv:2507.05791v3 Announce Type: replace Abstract: Graphical user interface (GUI) agents autonomously operate across platforms (e.g., Linux) to complete tasks by…
arXiv:2501.02770v4 Announce Type: replace Abstract: This paper proposes a novel planning framework to handle a multi-agent pathfinding problem under team-connected…
Nature Machine Intelligence, Published online: 11 July 2025; doi:10.1038/s42256-025-01065-z Humphreys and Zhou present a learning-based robot control framework inspired by…
Nature Machine Intelligence, Published online: 11 July 2025; doi:10.1038/s42256-025-01094-8 Author Correction: End-to-end cryo-EM complex structure determination with high accuracy and…