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AutoMat - Automatic Differentiation for Generalized Standard Materials on GPUs., , and . CoRR, (2020)Layer-Parallel Training of Deep Residual Neural Networks., , , , and . CoRR, (2018)High-Performance Derivative Computations using CoDiPack., , and . ACM Trans. Math. Softw., 45 (4): 38:1-38:26 (2019)Event-Based Automatic Differentiation of OpenMP with OpDiLib., , and . ACM Trans. Math. Softw., 49 (1): 3:1-3:31 (March 2023)Derivatives in Proton CT., , , , , , , , , and 42 other author(s). CoRR, (2022)Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement Learning., , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (12): 15820-15833 (December 2023)Scalable Hyperparameter Optimization with Lazy Gaussian Processes., , , , and . CoRR, (2020)Forward-Mode Automatic Differentiation of Compiled Programs., , , and . CoRR, (2022)Optimal Control of Unsteady Flows Using a Discrete and a Continuous Adjoint Approach., , , , and . System Modelling and Optimization, volume 391 of IFIP Advances in Information and Communication Technology, page 318-327. Springer, (2011)Layer-Parallel Training of Deep Residual Neural Networks., , , , and . SIAM J. Math. Data Sci., 2 (1): 1-23 (2020)