Publications

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B. W. Reichardt, A. Paetznick, D. Aasen, I. Basov, J. M. Bello-Rivas, P. Bonderson, R. Chao, W. van Dam, M. B. Hastings, A. Paz, M. P. da Silva, A. Sundaram, K. M. Svore, A. Vaschillo, Z. Wang, M. Zanner, W. B. Cairncross, C.-A. Chen, D. Crow, H. Kim, J. M. Kindem, J. King, M. McDonald, M. A. Norcia, A. Ryou, M. Stone, L. Wadleigh, K. Barnes, P. Battaglino, T. C. Bohdanowicz, G. Booth, A. Brown, M. O. Brown, K. Cassella, R. Coxe, J. M. Epstein, M. Feldkamp, C. Griger, E. Halperin, A. Heinz, F. Hummel, M. Jaffe, A. M. W. Jones, E. Kapit, K. Kotru, J. Lauigan, M. Li, J. Marjanovic, E. Megidish, M. Meredith, R. Morshead, J. A. Muniz, S. Narayanaswami, C. Nishiguchi, T. Paule, K. A. Pawlak, K. L. Pudenz, D. R. Pérez, J. Simon, A. Smull, D. Stack, M. Urbanek, R. J. M. van de Veerdonk, Z. Vendeiro, R. T. Weverka, T. Wilkason, T.-Y. Wu, X. Xie, E. Zalys-Geller, X. Zhang, and B. J. Bloom, Logical Computation Demonstrated with a Neutral Atom Quantum Processor, arXiv:2411.11822 (2024).

W. T. Redman, J. M. Bello-Rivas, M. Fonoberova, R. Mohr, Y. Kevrekidis, and I. Mezic, Identifying Equivalent Training Dynamics, 38th Annual Conference on Neural Information Processing Systems (2024). Also available at arXiv:2302.09160.

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 Coordinate-invariant Machine Learning, BMC Bioinformatics (2024). Also available at arXiv:2208.11853.

N. Evangelou, T. Cui, J. M. Bello-Rivas, A. Makeev, and I. G. Kevrekidis, Tipping Points of Evolving Epidemiological Networks: Machine Learning-assisted, Data-driven Effective Modeling, Chaos: An Interdisciplinary Journal of Nonlinear Science (2024). Also available at arXiv:2311.00797.

G. Fabiani, N. Evangelou, T. Cui, J. M. Bello-Rivas, C. P. Martín-Linares, C. Siettos, I. G. Kevrekidis, Task-Oriented Machine Learning Surrogates for Tipping Points of Agent-Based Models, Nature Communications (2024). Also available at arXiv:2309.14334.

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, Chaos: An Interdisciplinary Journal of Nonlinear Science (2024). Also available at arXiv:2312.05715.

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).

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.

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.

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.

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).