- Marcel Kühn, Bernd Rosenow. Anti-correlated noise in epoch-based stochastic gradient descent: implications for weight variances in flat directions. Mach. Learn. Sci. Technol., 6(4):45003, 2025.
- Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip C. Harris. SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression. Mach. Learn. Sci. Technol., 6(1):15021, 2025.
- Stefan Hildebrand, Jonathan Georg Friedrich, Melika Mohammadkhah, Sandra Klinge. Coupled CANN-DEM simulation in solid mechanics. Mach. Learn. Sci. Technol., 6(1):15038, 2025.
- Abhishek Setty, Rasul Abdusalamov, Felix Motzoi. Self-adaptive physics-informed quantum machine learning for solving differential equations. Mach. Learn. Sci. Technol., 6(1):15002, 2025.
- Rick Oerder, Gerrit Schmieden, Jan Hamaekers. Multi-fidelity learning for atomistic models via trainable data embeddings. Mach. Learn. Sci. Technol., 6(4):45004, 2025.
- Yuhang Wu, Ziyuan Liu, Wenjun Sun, Xu Qian. Randomized radial basis function neural network for solving multiscale elliptic equations. Mach. Learn. Sci. Technol., 6(1):15033, 2025.
- Louis Lortie, James Richard Forbes. Asymptotically stable data-driven koopman operator approximation with inputs using total extended DMD. Mach. Learn. Sci. Technol., 6(1):15003, 2025.
- Wenxuan Guo, Zhaoping Hu, Ling Jin, Yanyan Xu 0002, Marta C. González. 2.5 at scale. Mach. Learn. Sci. Technol., 6(1):15057, 2025.
- Zhengkang Zhang. N field theory: solvable model beyond the ridgeless limit. Mach. Learn. Sci. Technol., 6(2):25010, 2025.
- Sichao Li, Xin Wang, Amanda S. Barnard. Diverse explanations from data-driven and domain-driven perspectives in the physical sciences. Mach. Learn. Sci. Technol., 6(1):13002, 2025.