M. P. da Silva, C. Ryan-Anderson, J. M. Bello-Rivas, A. Chernoguzov, J. M. Dreiling, C. Foltz, F. Frachon, J. P. Gaebler, T. M. Gatterman, L. Grans-Samuelsson, D. Hayes, N. Hewitt, J. Johansen, D. Lucchetti, M. Mills, S. A. Moses, B. Neyenhuis, A. Paz, J. Pino, P. Siegfried, J. Strabley, A. Sundaram, D. Tom, S. J. Wernli, M. Zanner, R. P. Stutz, K. M. Svore, Demonstration of logical qubits and repeated error correction with better-than-physical error rates. arXiv:2404.02280 (2024).
E. R. Crabtree, J. M. Bello-Rivas, and I. G. Kevrekidis, Micro-Macro Consistency in Multiscale Modeling: Score-Based Model Assisted Sampling of Fast/Slow Dynamical Systems. arXiv:2312.05715 (2023).
A. Georgiou, H. Vandecasteele, J. M. Bello-Rivas, and I. G. Kevrekidis, Locating Saddle Points Using Gradient Extremals on Manifolds Adaptively Revealed as Point Clouds, Chaos: An Interdisciplinary Journal of Nonlinear Science (2023). Also available at arXiv:2309.16920.
N. Evangelou, T. Cui, J. M. Bello-Rivas, A. Makeev, I. G. Kevrekidis, Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling, arXiv:2311.00797 (2023).
G. Fabiani, N. Evangelou, T. Cui, J. M. Bello-Rivas, C. P. Martín-Linares, C. Siettos, I. G. Kevrekidis, Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points, arXiv:2309.14334 (2023).
E. R. Crabtree, J. M. Bello-Rivas, A. L. Ferguson, and I. G. Kevrekidis, GANs and Closures: Micro-Macro Consistency in Multiscale Modeling, SIAM Multiscale Modeling and Simulation (2023). Also available at arXiv:2208.10715.
N. Evangelou, F. Dietrich, J. M. Bello-Rivas, A. Yeh, R. Stein, M. A. Bevan, I. G. Kevrekidis, Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles, Molecular Systems Design & Engineering (2023). Also available at arXiv:2205.00286.
W. T. Redman, J. M. Bello-Rivas, M. Fonoberova, R. Mohr, I. G. Kevrekidis, and I. Mezić, On Equivalent Optimization of Machine Learning Methods, arXiv:2302.09160 (2023).
J. M. Bello-Rivas, A. Georgiou, H. Vandecasteele, and I. G. Kevrekidis, Gentlest Ascent Dynamics on Manifolds Defined by Adaptively Sampled Point-Clouds, Journal of Physical Chemistry B (2023). Also available at arXiv:2302.04426.
J. M. Bello-Rivas, A. Georgiou, J. Guckenheimer, I. G. Kevrekidis, Staying the Course: Locating Equilibria of Dynamical Systems on Riemannian Manifolds Defined by Point-Clouds, Journal of Mathematical Chemistry (2022). Also available at arXiv:2204.10413.
Y. M. Psarellis, S. Lee, T. Bhattacharjee, S. S. Datta, J. M. Bello-Rivas, and I. G. Kevrekidis, Data-driven Discovery of Chemotactic Migration of Bacteria via Machine Learning, arXiv:2208.11853 (2022).
F. Dietrich, J. M. Bello-Rivas, and I. G. Kevrekidis, On the Correspondence between Gaussian Processes and Geometric Harmonics, arXiv:2110.02296 (2021).
A. Holiday, M. Kooshkbaghi, J. M. Bello-Rivas, C. W. Gear, A. Zagaris, and I. G. Kevrekidis, Manifold Learning for Parameter Reduction, Journal of Computational Physics (2019).
A. S. Georgiou, J. M. Bello-Rivas, C. W. Gear, H.-T. Wu, E. Chiavazzo, I. G. Kevrekidis, An Exploration Algorithm for Stochastic Simulators Driven by Energy Gradients, Entropy (2017).
R. Elber, J. M. Bello-Rivas, P. Ma, A. E. Cardenas, A. Fathizadeh, Calculating Iso-Committor Surfaces as Optimal Reaction Coordinates with Milestoning, Entropy (2017).
J. M. Bello-Rivas. Iterative Milestoning. PhD Thesis, University of Texas at Austin (2016).
J. M. Bello-Rivas, R. Elber, Simulations of Thermodynamics and Kinetics on Rough Energy Landscapes with Milestoning, Journal of Computational Chemistry (2016).
D. Aristoff, J. M. Bello-Rivas, R. Elber, A Mathematical Framework for Exact Milestoning, SIAM Multiscale Modeling and Simulation (2016).
J. M. Bello-Rivas, R. Elber, Exact Milestoning, The Journal of Chemical Physics (2015).