output
20182025
most citedIdentifying Real Estate Opportunities using Machine Learning

124 citations

30 papers

econ.GN2025

There's Nothing in the Air

Jacob Adenbaum, Fil Babalievsky, William Jungerman

Why do wages grow faster in bigger cities? We use French administrative data to decompose the urban wage growth premium and find that the answer has surprisingly little to do with…

math.NA2025

Efficient Numerical Integration for Finite Element Trunk Spaces in 2D and 3D using Machine Learning: A new Optimisation Paradigm to Construct Application-Specific Quadrature Rules

Tomas Teijeiro, Pouria Behnoudfar, Jamie M. Taylor +2

Finite element methods usually construct basis functions and quadrature rules for multidimensional domains via tensor products of one-dimensional counterparts. While straightforwar…

stat.ML2025

Evasion Attacks Against Bayesian Predictive Models

Pablo G. Arce, Roi Naveiro, David Ríos Insua

There is an increasing interest in analyzing the behavior of machine learning systems against adversarial attacks. However, most of the research in adversarial machine learning has…

stat.ML2025

Poisoning Bayesian Inference via Data Deletion and Replication

Matthieu Carreau, Roi Naveiro, William N. Caballero

Research in adversarial machine learning (AML) has shown that statistical models are vulnerable to maliciously altered data. However, despite advances in Bayesian machine learning…

quant-ph2025

Gap between quantum theory based on real and complex numbers is arbitrarily large

Shubhayan Sarkar, David Trillo, Marc Olivier Renou +1

Quantum Information Theory, the standard formalism used to represent information contained in quantum systems, is based on complex Hilbert spaces (CQT). It was recently shown that…

quant-ph2025★ 1 cited

Parent Lindbladians for Matrix Product Density Operators

Yuhan Liu, Alberto Ruiz-de-Alarcón, Georgios Styliaris +3

Understanding quantum phases of matter is a fundamental goal in physics. For pure states, the representatives of phases are the ground states of locally interacting Hamiltonians, w…

quant-ph2024★ 8 cited

The Diósi-Penrose model of classical gravity predicts gravitationally induced entanglement

David Trillo, Miguel Navascués

We show that the dynamics of the Diósi-Penrose (DP) model of classical gravity can entangle the mechanical degrees of freedom of two separate particles. For standard experiments of…

math.NA2024★ 13 cited

Optimizing Variational Physics-Informed Neural Networks Using Least Squares

Carlos Uriarte, Manuela Bastidas, David Pardo +2

Variational Physics-Informed Neural Networks often suffer from poor convergence when using stochastic gradient-descent-based optimizers. By introducing a Least Squares solver for t…

cs.CV2024★ 2 cited

A real-time Artificial Intelligence system for learning Sign Language

Elisa Cabana

A primary challenge for the deaf and hearing-impaired community stems from the communication gap with the hearing society, which can greatly impact their daily lives and result in…

cs.CR2024★ 7 cited

Manipulating hidden-Markov-model inferences by corrupting batch data

William N. Caballero, Jose Manuel Camacho, Tahir Ekin +1

Time-series models typically assume untainted and legitimate streams of data. However, a self-interested adversary may have incentive to corrupt this data, thereby altering a decis…

cond-mat.soft2024

Reducing model complexity by means of the Optimal Scaling: Population Balance Model for latex particles morphology formation

Simone Rusconi, Christina Schenk, Arghir Zarnescu +1

Rational computer-aided design of multiphase polymer materials is vital for rapid progress in many important applications, such as: diagnostic tests, drug delivery, coatings, addit…

cs.LG2024★ 13 cited

Contingency Analysis of a Grid of Connected EVs for Primary Frequency Control of an Industrial Microgrid Using Efficient Control Scheme

J. N. Sabhahit, S. S. Solanke, V. K. Jadoun +3

After over a century of internal combustion engines ruling the transport sector, electric vehicles appear to be on the verge of gaining traction due to a slew of advantages, includ…

math.OC2024★ 3 cited

Market proliferation and the impact of locational complexity on network restructuring

J. M. Pinar-Pérez, D. Ruiz-Hernández, M. B. C. Menezes

This manuscript investigates the problem of locational complexity, a type of complexity that emanates from a companys territorial strategy. Using an entropy-based measure for suppl…

eess.SY2024★ 21 cited

A novel ANROA based control approach for grid-tied multi-functional solar energy conversion system

Dinanath Prasad, Narendra Kumar, Rakhi Sharma +3

An adaptive control approach for a three-phase grid-interfaced solar photovoltaic system based on the new Neuro-Fuzzy Inference System with Rain Optimization Algorithm (ANROA) meth…

cs.LG2024★ 29 cited

Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India

Hasmat Malik, Amit Kumar Yadav, Fausto Pedro García Márquez +1

Wind power generated by wind has non-schedule nature due to stochastic nature of meteorological variable. Hence energy business and control of wind power generation requires predic…

cs.DM2024★ 32 cited

Multi-machine preventative maintenance scheduling with imperfect interventions: a restless bandit approach

Diego Ruiz-Hernandez, Jesús María Pinar-Pérez, David Delgado-Gómez

In this paper we address the problem of allocating the efforts of a collection of repairmen to a number of deteriorating machines in order to reduce operation costs and to mitigate…

cs.GT2024★ 5 cited

A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers

Alberto Pliego Marugán, Fausto Pedro García Márquez, Jesús María Pinar Pérez

Currently, wind energy is one of the most important sources of renewable energy. Offshore locations for wind turbines are increasingly exploited because of their numerous advantage…

math-ph2023★ 2 cited

Solutions by quadratures of complex Bernoulli differential equations and their quantum deformation

Rutwig Campoamor-Stursberg, Eduardo Fernandez-Saiz, Francisco J. Herranz

It is shown that the complex Bernoulli differential equations admitting the supplementary structure of a Lie-Hamilton system related to the book algebra can always…

cond-mat.soft2023

A confined rod: mean field theory for hard rod-like particles

Jamie M. Taylor, Thomas G. Fai, Epifanio G. Virga +2

In this paper, we model the configurations of a system of hard rods by viewing each rod in a cell formed by its neighbors. By minimizing the free energy in the model and performing…

math.AP2023

A sharp stability criterion for Euler equations via sparseness

Óscar Domínguez, Mario Milman

We introduce sparse versions of function spaces that are relevant to characterize the solutions of Euler equations without concentration. The standard Sobolev space is giv…

math-ph2023★ 2 cited

Generalized time-dependent SIS Hamiltonian models: Exact solutions and quantum deformations

Eduardo Fernandez-Saiz, Rutwig Campoamor-Stursberg, Francisco J. Herranz

The theory of Lie-Hamilton systems is used to construct generalized time-dependent SIS epidemic Hamiltonians with a variable infection rate from the 'book' Lie algebra. Although th…

math.SG2023★ 4 cited

Liouville-Arnold theorem for homogeneous symplectic and contact Hamiltonian systems

Leonardo Colombo, Manuel de León, Manuel Lainz +1

A Hamiltonian system is completely integrable (in the sense of Liouville) if there exist as many independent integrals of motion in involution as the dimension of the configuration…

math.AG2023★ 4 cited

Rationality and Parametrizations of Algebraic Curves under Specializations

Sebastian Falkensteiner, Rafael Sendra

Rational algebraic curves have been intensively studied in the last decades, both from the theoretical and applied point of view. In applications (e.g. level curves, linear homotop…

math-ph2022★ 10 cited

The Herglotz variational principle for dissipative field theories

Jordi Gaset, Manuel Lainz, Arnau Mas +1

In the recent years, with the incorporation of contact geometry, there has been a renewed interest in the study of dissipative or non-conservative systems in physics and other area…