Simulations of thermodynamics and kinetics on rough energy landscapes with milestoning. - Juan M. Bello-Rivas; Ron Elber (J. Comput. Chem., 2016)

A Mathematical Framework for Exact Milestoning. - David Aristoff; Juan M. Bello-Rivas; Ron Elber (Multiscale Model. Simul., 2016)

Calculating Iso-Committor Surfaces as Optimal Reaction Coordinates with Milestoning. - Ron Elber; Juan M. Bello-Rivas; Piao Ma; Alfredo E. Cardenas; Arman Fathizadeh (Entropy, 2017)

An Exploration Algorithm for Stochastic Simulators Driven by Energy Gradients. - Anastasia S. Georgiou; Juan M. Bello-Rivas; Charles William Gear; Hau-Tieng Wu; Eliodoro Chiavazzo; Ioannis G. Kevrekidis (Entropy, 2017)

Manifold learning for parameter reduction. - Alexander Holiday; Mahdi Kooshkbaghi; Juan M. Bello-Rivas; C. William Gear; Antonios Zagaris; Ioannis G. Kevrekidis (J. Comput. Phys., 2019)

On the Correspondence between Gaussian Processes and Geometric Harmonics. - Felix Dietrich; Juan M. Bello-Rivas; Ioannis G. Kevrekidis (CoRR, 2021)

Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-clouds. - Juan M. Bello-Rivas; Anastasia S. Georgiou; John Guckenheimer; Ioannis G. Kevrekidis (CoRR, 2022)

Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles. - Nikolaos Evangelou; Felix Dietrich; Juan M. Bello-Rivas; Alex Yeh; Rachel Stein; Michael A. Bevan; Ioannis G. Kevrekidis (CoRR, 2022)

Gentlest ascent dynamics on manifolds defined by adaptively sampled point-clouds. - Juan M. Bello-Rivas; Anastasia S. Georgiou; Hannes Vandecasteele; Ioannis G. Kevrekidis (CoRR, 2023)

On Equivalent Optimization of Machine Learning Methods. - William T. Redman; Juan M. Bello-Rivas; Maria Fonoberova; Ryan Mohr; Ioannis G. Kevrekidis; Igor Mezic (CoRR, 2023)

Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points. - Gianluca Fabiani; Nikolaos Evangelou; Tianqi Cui; Juan M. Bello-Rivas; Cristina P. Martin-Linares; Constantinos I. Siettos; Ioannis G. Kevrekidis (CoRR, 2023)

Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling. - Nikolaos Evangelou; Tianqi Cui; Juan M. Bello-Rivas; Alexei Makeev; Ioannis G. Kevrekidis (CoRR, 2023)

Micro-Macro Consistency in Multiscale Modeling: Score-Based Model Assisted Sampling of Fast/Slow Dynamical Systems. - Ellis R. Crabtree; Juan M. Bello-Rivas; Ioannis G. Kevrekidis (CoRR, 2023)

GANs and Closures: Micro-Macro Consistency in Multiscale Modeling. - Ellis R. Crabtree; Juan M. Bello-Rivas; Andrew L. Ferguson; Ioannis G. Kevrekidis (Multiscale Model. Simul., 2023)

Identifying Equivalent Training Dynamics. - William T. Redman; Juan M. Bello-Rivas; Maria Fonoberova; Ryan Mohr; Yannis G. Kevrekidis; Igor Mezic (NeurIPS, 2024)

Data-driven discovery of chemotactic migration of bacteria via coordinate-invariant machine learning. - Yorgos M. Psarellis; Seungjoon Lee; Tapomoy Bhattacharjee; Sujit S. Datta; Juan M. Bello-Rivas; Ioannis G. Kevrekidis (BMC Bioinform., 2024)

Generative Learning for Slow Manifolds and Bifurcation Diagrams. - Ellis R. Crabtree; Dimitris G. Giovanis; Nikolaos Evangelou; Juan M. Bello-Rivas; Ioannis G. Kevrekidis (CoRR, 2025)

Towards Coordinate- and Dimension-Agnostic Machine Learning for Partial Differential Equations. - Trung V. Phan; George A. Kevrekidis; Soledad Villar; Yannis G. Kevrekidis; Juan M. Bello-Rivas (CoRR, 2025)