Jacobson, P., Feinberg, B., Kumar, S., Agarwal, S., Xiao, T. P., & Bennett, C. (2026). Incorruptible Neural Networks: Training Models that can Generalize to Large Internal Perturbations.
Chicago Style (17th ed.) CitationJacobson, Philip, Ben Feinberg, Suhas Kumar, Sapan Agarwal, T. Patrick Xiao, and Christopher Bennett. Incorruptible Neural Networks: Training Models That Can Generalize to Large Internal Perturbations. 2026.
MLA (9th ed.) CitationJacobson, Philip, et al. Incorruptible Neural Networks: Training Models That Can Generalize to Large Internal Perturbations. 2026.
Warning: These citations may not always be 100% accurate.