activity
20192026
most citedNeural ODE control for classification, approximation and transport

5 citations · 13 across the 18 of their papers we have counts for

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15 papers · 1 filter

math.OC2026

Constructive conditional normalizing flows

Borjan Geshkovski, Domènec Ruiz-Balet

Motivated by applications in conditional sampling, given a probability measure and a diffeomorphism , we consider the problem of simultaneously approximating and the pus…

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.OC2024

A total variation flow scheme for ergodic mean field games

Dante Kalise, Alessio Oliviero, Domènec Ruiz-Balet

Motivated by recent developments in mean field games in ecology, in this paper we introduce a connection between the best response dynamics in evolutionary game theory, the minimiz…

math.OC2024★ 1 cited

Measure-to-measure interpolation using Transformers

Borjan Geshkovski, Philippe Rigollet, Domènec Ruiz-Balet

Transformers are deep neural network architectures that underpin the recent successes of large language models. Unlike more classical architectures that can be viewed as point-to-p…

math.OC2024

Pattern control via Diffussion interaction

Domènec Ruiz-Balet, Enrique Zuazua

We analyse a dynamic control problem for scalar reaction-diffusion equations, focusing on the emulation of pattern formation through the selection of appropriate active controls. W…

math.OC2023★ 1 cited

Control of neural transport for normalizing flows

Domènec Ruiz-Balet, Enrique Zuazua

Inspired by normalizing flows, we analyze the bilinear control of neural transport equations by means of time-dependent velocity fields restricted to fulfill, at any time instance,…

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.OC2021★ 5 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…

math.OC2020

Constrained control of gene-flow models

Idriss Mazari, Domenec Ruiz-Balet, Enrique Zuazua

In ecology and population dynamics, gene-flow refers to the transfer of a trait from one population to another. This phenomenon appears in studying the evolution of social features…

math.OC2020★ 4 cited

A fragmentation phenomenon for a non-energetic optimal control problem: optimisation of the total population size in logistic diffusive models

Idriss Mazari, Domenec Ruiz-Balet

Following some recent works, we investigate the problem of optimising the total population size for logistic diffusive models with respect to resources distributions. Using the spa…

math.OC2019

Control under constraints for multi-dimensional reaction-diffusion monostable and bistable equations

Domènec Ruiz-Balet, Enrique Zuazua

Dynamic phenomena in social and biological sciences can often be modeled by employing reaction-diffusion equations. When addressing the control of these modes, from a mathematical…

math.OC2019★ 2 cited

A parabolic approach to the control of opinion spreading

Domènec Ruiz-Balet, Enrique Zuazua

We analyze the problem of controlling to consensus a nonlinear system modeling opinion spreading. We derive explicit exponential estimates on the cost of approximately controlling…