activity
20112025
most citedUltra-Low-Power Superconductor Logic

338 citations · 382 across the 14 of their papers we have counts for

collaborators

14 papers

cs.DC2025

Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows

Daniel Mas Montserrat, Ray Verma, Míriam Barrabés +3

Large-scale genomic workflows used in precision medicine can process datasets spanning tens to hundreds of gigabytes per sample, leading to high memory spikes, intensive disk I/O,…

cs.IT2025

A Tsallis-Entropy Lens on Genetic Variation

Margarita Geleta, Daniel Mas Montserrat, Alexander G. Ioannidis

We introduce an information-theoretic generalization of the fixation statistic, the Tsallis-order F-statistic, , which measures the fraction of Tsallis -entropy lost wi…

cs.LG2025★ 1 cited

iLTM: Integrated Large Tabular Model

David Bonet, Marçal Comajoan Cara, Alvaro Calafell +2

Tabular data underpins decisions across science, industry, and public services. Despite rapid progress, advances in deep learning have not fully carried over to the tabular domain,…

cs.LG2025★ 1 cited

Compressive Meta-Learning

Daniel Mas Montserrat, David Bonet, Maria Perera +2

The rapid expansion in the size of new datasets has created a need for fast and efficient parameter-learning techniques. Compressive learning is a framework that enables efficient…

cs.LG2025

Feature Shift Localization Network

Míriam Barrabés, Daniel Mas Montserrat, Kapal Dev +1

Feature shifts between data sources are present in many applications involving healthcare, biomedical, socioeconomic, financial, survey, and multi-sensor data, among others, where…

q-bio.PE2024★ 2 cited

The Human Genomic Landscape of Oceania

Consuelo D. Quinto-Cortés, Carmina Barberena Jonas, Peter A. Gerlach +34

Oceania and Island Southeast Asia have a rich, yet understudied, human genomic landscape. This region encompasses some of the first areas inhabited by humans following the out-of-A…

cs.LG2024

HyperFast: Instant Classification for Tabular Data

David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto +1

Training deep learning models and performing hyperparameter tuning can be computationally demanding and time-consuming. Meanwhile, traditional machine learning methods like gradien…

cs.LG2023★ 2 cited

Adversarial Learning for Feature Shift Detection and Correction

Miriam Barrabes, Daniel Mas Montserrat, Margarita Geleta +2

Data shift is a phenomenon present in many real-world applications, and while there are multiple methods attempting to detect shifts, the task of localizing and correcting the feat…

q-bio.PE2022

Ancestry-specific analyses of genome-wide data confirm the settlement sequence of Polynesia

Alexander G. Ioannidis, Javier Blanco-Portillo, Erika Hagelberg +7

By demonstrating the role that historical population replacements and waves of admixture have played around the world, the genetics work of Reich and colleagues has provided a para…

q-bio.GN2020

A deep learning classifier for local ancestry inference

Matthew Aguirre, Jan Sokol, Guhan Venkataraman +1

Local ancestry inference (LAI) identifies the ancestry of each segment of an individual's genome and is an important step in medical and population genetic studies of diverse cohor…

q-bio.GN2020

Addressing Ancestry Disparities in Genomic Medicine: A Geographic-aware Algorithm

Daniel Mas Montserrat, Arvind Kumar, Carlos Bustamante +1

With declining sequencing costs a promising and affordable tool is emerging in cancer diagnostics: genomics. By using association studies, genomic variants that predispose patients…

q-bio.GN2020★ 26 cited

LAI-Net: Local-Ancestry Inference with Neural Networks

Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis

Local-ancestry inference (LAI), also referred to as ancestry deconvolution, provides high-resolution ancestry estimation along the human genome. In both research and industry, LAI…

q-bio.GN2019★ 12 cited

Class-Conditional VAE-GAN for Local-Ancestry Simulation

Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis

Local ancestry inference (LAI) allows identification of the ancestry of all chromosomal segments in admixed individuals, and it is a critical step in the analysis of human genomes…

cond-mat.supr-con2011★ 338 cited

Ultra-Low-Power Superconductor Logic

Quentin P. Herr, Anna Y. Herr, Oliver T. Oberg +1

We have developed a new superconducting digital technology, Reciprocal Quantum Logic, that uses AC power carried on a transmission line, which also serves as a clock. Using simple…