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Timescale Separation in Recurrent Neural Networks.. Neural Comput., 27 (6): 1321-1344 (2015)Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training., , , and . CoRR, (2019)EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems., , , , , , and . e-Energy (Companion), page 134-139. ACM, (2023)Scalable Deep Learning-Based Microarchitecture Simulation on GPUs., , , , and . SC, page 79:1-79:15. IEEE, (2022)Online Algorithms for Classification of Urban Objects in 3D Point Clouds., , , and . 3DIMPVT, page 332-339. IEEE Computer Society, (2012)Direct estimation of vegetation parameters from covariance data in polarimetric SAR interferometry., , and . IGARSS, page 1908-1910. IEEE, (2002)Bounding the expected run-time of nonconvex optimization with early stopping., , , , and . UAI, volume 124 of Proceedings of Machine Learning Research, page 51-60. AUAI Press, (2020)A persistent adjoint method with dynamic time-scaling and an application to mass action kinetics.. Numer. Algorithms, 89 (1): 87-113 (2022)Measure valued differentiation for stochastic neural networks.. WSC, page 4622-4623. IEEE, (2017)A persistent adjoint method with dynamic time-scaling and an application to mass action kinetics.. CoRR, (2020)