Juan M. Bello-Rivas

20 papers A* 1Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative learning for slow manifolds and bifurcation diagrams. Comput. Chem. Eng. Ellis R. Crabtree, Dimitris G. Giovanis, Nikolaos Evangelou, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2025	J	`jnl`	Generative Learning for Slow Manifolds and Bifurcation Diagrams. CoRR Ellis R. Crabtree, Dimitris G. Giovanis, Nikolaos Evangelou, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2025	J	`jnl`	Towards Coordinate- and Dimension-Agnostic Machine Learning for Partial Differential Equations. CoRR Trung V. Phan, George A. Kevrekidis, Soledad Villar, Yannis G. Kevrekidis, Juan M. Bello-Rivas
2024	J	`jnl`	Data-driven discovery of chemotactic migration of bacteria via coordinate-invariant machine learning. BMC Bioinform. Yorgos M. Psarellis, Seungjoon Lee, Tapomoy Bhattacharjee, Sujit S. Datta, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2024	A*	`conf`	Identifying Equivalent Training Dynamics. NeurIPS William T. Redman, Juan M. Bello-Rivas, Maria Fonoberova, Ryan Mohr, Yannis G. Kevrekidis, Igor Mezic
2023	J	`jnl`	GANs and Closures: Micro-Macro Consistency in Multiscale Modeling. Multiscale Model. Simul. Ellis R. Crabtree, Juan M. Bello-Rivas, Andrew L. Ferguson, Ioannis G. Kevrekidis
2023	J	`jnl`	Gentlest ascent dynamics on manifolds defined by adaptively sampled point-clouds. CoRR Juan M. Bello-Rivas, Anastasia S. Georgiou, Hannes Vandecasteele, Ioannis G. Kevrekidis
2023	J	`jnl`	Micro-Macro Consistency in Multiscale Modeling: Score-Based Model Assisted Sampling of Fast/Slow Dynamical Systems. CoRR Ellis R. Crabtree, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2023	J	`jnl`	On Equivalent Optimization of Machine Learning Methods. CoRR William T. Redman, Juan M. Bello-Rivas, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic
2023	J	`jnl`	Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points. CoRR Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Cristina P. Martin-Linares, Constantinos I. Siettos, Ioannis G. Kevrekidis
2023	J	`jnl`	Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling. CoRR Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Alexei Makeev, Ioannis G. Kevrekidis
2022	J	`jnl`	GANs and Closures: Micro-Macro Consistency in Multiscale Modeling. CoRR Ellis R. Crabtree, Juan M. Bello-Rivas, Andrew L. Ferguson, Ioannis G. Kevrekidis
2022	J	`jnl`	Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles. CoRR Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas, Alex Yeh, Rachel Stein, Michael A. Bevan, Ioannis G. Kevrekidis
2022	J	`jnl`	Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-clouds. CoRR Juan M. Bello-Rivas, Anastasia S. Georgiou, John Guckenheimer, Ioannis G. Kevrekidis
2021	J	`jnl`	On the Correspondence between Gaussian Processes and Geometric Harmonics. CoRR Felix Dietrich, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2019	J	`jnl`	Manifold learning for parameter reduction. J. Comput. Phys. Alexander Holiday, Mahdi Kooshkbaghi, Juan M. Bello-Rivas, C. William Gear, Antonios Zagaris, Ioannis G. Kevrekidis
2017	J	`jnl`	An Exploration Algorithm for Stochastic Simulators Driven by Energy Gradients. Entropy Anastasia S. Georgiou, Juan M. Bello-Rivas, Charles William Gear, Hau-Tieng Wu, Eliodoro Chiavazzo, Ioannis G. Kevrekidis
2017	J	`jnl`	Calculating Iso-Committor Surfaces as Optimal Reaction Coordinates with Milestoning. Entropy Ron Elber, Juan M. Bello-Rivas, Piao Ma, Alfredo E. Cardenas, Arman Fathizadeh
2016	J	`jnl`	A Mathematical Framework for Exact Milestoning. Multiscale Model. Simul. David Aristoff, Juan M. Bello-Rivas, Ron Elber
2016	J	`jnl`	Simulations of thermodynamics and kinetics on rough energy landscapes with milestoning. J. Comput. Chem. Juan M. Bello-Rivas, Ron Elber