Messages Do Diffuse Faster than Messengers: Reconciling Disparate Estimates of the Morphogen Bicoid Diffusion Coefficient. - Lorena Sigaut; John E. Pearson; Alejandro Colman-Lerner; Silvina Ponce Dawson (PLoS Comput. Biol., 2014)

Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM. - Germán Abrevaya; Aleksandr Y. Aravkin; Guillermo A. Cecchi; Irina Rish; Pablo Polosecki; Peng Zheng 002; Silvina Ponce Dawson (CoRR, 2018)

Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. - Germán Abrevaya; Guillaume Dumas; Aleksandr Y. Aravkin; Peng Zheng 002; Jean-Christophe Gagnon-Audet; James R. Kozloski; Pablo Polosecki; Guillaume Lajoie; David D. Cox; Silvina Ponce Dawson; Guillermo A. Cecchi; Irina Rish (Neural Comput., 2021)

Group Testing With Nested Pools. - Inés Armendáriz; Pablo A. Ferrari; Daniel Fraiman; José Mario Martínez; Silvina Ponce Dawson (IEEE Trans. Inf. Theory, 2022)

GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models. - Germán Abrevaya; Mahta Ramezanian-Panahi; Jean-Christophe Gagnon-Audet; Irina Rish; Pablo Polosecki; Silvina Ponce Dawson; Guillermo A. Cecchi; Guillaume Dumas (CoRR, 2023)

Effective Latent Differential Equation Models via Attention and Multiple Shooting. - Germán Abrevaya; Mahta Ramezanian-Panahi; Jean-Christophe Gagnon-Audet; Pablo Polosecki; Irina Rish; Silvina Ponce Dawson; Guillermo A. Cecchi; Guillaume Dumas (Trans. Mach. Learn. Res., 2024)