activity
20192025
most citedNeural ODE control for classification, approximation and transport

5 citations · 5 across the 4 of their papers we have counts for

collaborators

8 papers

math.OC2025

Attention's forward pass and Frank-Wolfe

Albert Alcalde, Borjan Geshkovski, Domènec Ruiz-Balet

We study the hardmax limit of self-attention dynamics for token embeddings obtained in the zero-temperature () regime, and relate it to the finite- setting. In this…

math.OC2024

Constructive approximate transport maps with normalizing flows

Antonio Álvarez-López, Borjan Geshkovski, Domènec Ruiz-Balet

We study an approximate controllability problem for the continuity equation and its application to constructing transport maps with normalizing flows. Specifically, we construct ti…

math.OC2022

Spatial ecology, optimal control and game theoretical fishing problems

Idriss Mazari, Domènec Ruiz-Balet

Of paramount importance in both ecological systems and economic policies are the problems of harvesting of natural resources. A paradigmatic situation where this question is raised…

math.OC2021

Interpolation and approximation via Momentum ResNets and Neural ODEs

Domènec Ruiz-Balet, Elisa Affili, Enrique Zuazua

In this article, we explore the effects of memory terms in continuous-layer Deep Residual Networks by studying Neural ODEs (NODEs). We investigate two types of models. On one side,…

math.OC20215 cited

Neural ODE control for classification, approximation and transport

Domènec Ruiz-Balet, Enrique Zuazua

We analyze Neural Ordinary Differential Equations (NODEs) from a control theoretical perspective to address some of the main properties and paradigms of Deep Learning (DL), in part…

math.OC2020

Quantitative stability for eigenvalues of Schrödinger operator, Quantitative bathtub principle \& Application to the turnpike property for a bilinear optimal control problem

Idriss Mazari, Domenec Ruiz-Balet

This work is concerned with two optimisation problems that we tackle from a qualitative perspective. The first one deals with quantitative inequalities for spectral optimisation pr…