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Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems., , , , , , , and . CoRR, (2020)Stability of TCP Dynamics in Large Data Networks., , , and . SIAM J. Applied Dynamical Systems, 8 (1): 146-159 (2009)Characterizing the Dynamical Importance of Network Nodes and Links, , and . Physical Review Letters, 97 (9): 094102+ (September 2006)Transitions to Bubbling of Chaotic Systems, , , , and . Phys. Rev. Lett., 77 (27): 5361--5364 (December 1996)Optimal Periodic Orbits of Chaotic Systems, and . Phys. Rev. Lett., 76 (13): 2254--2257 (1996)Exploring the Potential of Hybrid Machine-Learning/Physics-Based Modeling for Atmospheric/Oceanic Prediction Beyond the Medium Range., , , , and . CoRR, (2024)Bubbling transition, , and . Phys. Rev. E, 54 (2): 1346--1360 (1996)Approximating the largest eigenvalue of network adjacency matrices, , and . Phys. Rev. E, (2007)Weighted Percolation on Directed Networks, , and . Physical Review Letters, 100 (5): 058701+ (February 2008)Prevalence: a translation-invariant ``almost every'' on infinite-dimensional spaces, , and . Bull. Amer. Math. Soc., 27 (2): 217-238 (1992)