Universidad de Chile

research

∙ 02/07/2021

Classification based on Topological Data Analysis

Topological Data Analysis (TDA) is an emergent field that aims to discov...

Rolando Kindelan, et al. ∙

research

∙ 03/19/2020

Predicting Unplanned Readmissions with Highly Unstructured Data

Deep learning techniques have been successfully applied to predict unpla...

Constanza Fierro, et al. ∙

research

∙ 11/09/2021

A Topological Data Analysis Based Classifier

Topological Data Analysis (TDA) is an emergent field that aims to discov...

Rolando Kindelan, et al. ∙

research

∙ 05/15/2020

Transformation Based Deep Anomaly Detection in Astronomical Images

In this work, we propose several enhancements to a geometric transformat...

Esteban Reyes, et al. ∙

research

∙ 04/19/2022

ALBETO and DistilBETO: Lightweight Spanish Language Models

In recent years there have been considerable advances in pre-trained lan...

José Cañete, et al. ∙

research

∙ 06/20/2019

Pattern Spotting in Historical Documents Using Convolutional Models

Pattern spotting consists of searching in a collection of historical doc...

Ignacio Úbeda, et al. ∙

research

∙ 09/05/2017

Spectral Mixture Kernels for Multi-Output Gaussian Processes

Early approaches to multiple-output Gaussian processes (MOGPs) relied on...

Gabriel Parra, et al. ∙

research

∙ 07/13/2017

Improving Sparsity in Kernel Adaptive Filters Using a Unit-Norm Dictionary

Kernel adaptive filters, a class of adaptive nonlinear time-series model...

Felipe Tobar, et al. ∙

research

∙ 07/11/2017

Initialising Kernel Adaptive Filters via Probabilistic Inference

We present a probabilistic framework for both (i) determining the initia...

Iván Castro, et al. ∙

research

∙ 09/23/2015

A review of learning vector quantization classifiers

In this work we present a review of the state of the art of Learning Vec...

David Nova, et al. ∙

research

∙ 01/02/2017

Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection

We introduce Deep-HiTS, a rotation invariant convolutional neural networ...

Guillermo Cabrera-Vives, et al. ∙

research

∙ 09/24/2015

A Review of Feature Selection Methods Based on Mutual Information

In this work we present a review of the state of the art of information ...

Jorge R. Vergara, et al. ∙

research

∙ 11/03/2011

Bayesian Causal Induction

Discovering causal relationships is a hard task, often hindered by the n...

Pedro A. Ortega, et al. ∙

research

∙ 02/16/2010

Convergence of Bayesian Control Rule

Recently, new approaches to adaptive control have sought to reformulate ...

Pedro A. Ortega, et al. ∙

research

∙ 11/26/2009

A conversion between utility and information

Rewards typically express desirabilities or preferences over a set of al...

Pedro A. Ortega, et al. ∙

research

∙ 11/26/2009

A Bayesian Rule for Adaptive Control based on Causal Interventions

Explaining adaptive behavior is a central problem in artificial intellig...

Pedro A. Ortega, et al. ∙

research

∙ 08/11/2017

Veamy: an extensible object-oriented C++ library for the virtual element method

This paper summarizes the development of Veamy, an object-oriented C++ l...

Alejandro Ortiz-Bernardin, et al. ∙

research

∙ 12/17/2017

Organic Visualization of Document Evolution

Recent availability of data of writing processes at keystroke-granularit...

Ignacio Perez-Messina, et al. ∙

research

∙ 12/20/2017

Text Indexing and Searching in Sublinear Time

We introduce the first index that can be built in o(n) time for a text o...

J. Ian Munro, et al. ∙

research

∙ 11/21/2017

Approximating Geometric Knapsack via L-packings

We study the two-dimensional geometric knapsack problem (2DK) in which w...

Waldo Gálvez, et al. ∙

research

∙ 11/14/2017

A Note on the Quasi-Stationary Distribution of the Shiryaev Martingale on the Positive Half-Line

We obtain a closed-form formula for the quasi-stationary distribution of...

Aleksey S. Polunchenko, et al. ∙

research

∙ 11/08/2017

A Grammar Compression Algorithm based on Induced Suffix Sorting

We introduce GCIS, a grammar compression algorithm based on the induced ...

Daniel Saad Nogueira Nunes, et al. ∙

research

∙ 05/29/2017

Depth Distribution in High Dimensions

Motivated by the analysis of range queries in databases, we introduce th...

Jérémy Barbay, et al. ∙

research

∙ 02/06/2018

Strong Algorithms for the Ordinal Matroid Secretary Problem

In the ordinal Matroid Secretary Problem (MSP), elements from a weighted...

José A. Soto, et al. ∙

research

∙ 03/04/2018

Two-Dimensional Block Trees

The Block Tree (BT) is a novel compact data structure designed to compre...

Nieves R. Brisaboa, et al. ∙

research

∙ 03/07/2018

Compact Representations of Event Sequences

We introduce a new technique for the efficient management of large seque...

Nieves R. Brisaboa, et al. ∙

research

∙ 03/19/2018

Learning non-Gaussian Time Series using the Box-Cox Gaussian Process

Gaussian processes (GPs) are Bayesian nonparametric generative models th...

Gonzalo Rios, et al. ∙

research

∙ 03/26/2018

Universal Compressed Text Indexing

The rise of repetitive datasets has lately generated a lot of interest i...

Gonzalo Navarro, et al. ∙

research

∙ 04/05/2018

Software Engineering for Millennials, by Millennials

Software engineers need to manage both technical and professional skills...

Jocelyn Simmonds, et al. ∙

research

∙ 04/24/2018

IRT scoring and the principle of consistent order

IRT models are being increasingly used worldwide for test construction a...

Nancy Lacourly, et al. ∙

research

∙ 05/11/2018

Computing Coverage Kernels Under Restricted Settings

We consider the Minimum Coverage Kernel problem: given a set B of d-dime...

Jérémy Barbay, et al. ∙

research

∙ 07/19/2018

Quasi-polynomial time approximation schemes for packing and covering problems in planar graphs

We consider two optimization problems in planar graphs. In Maximum Weigh...

Michał Pilipczuk, et al. ∙

research

∙ 09/06/2018

Bayesian Nonparametric Spectral Estimation

Spectral estimation (SE) aims to identify how the energy of a signal (e....

Felipe Tobar, et al. ∙

research

∙ 09/30/2018

Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks

Deep Reinforcement Learning (DRL) has become a powerful strategy to solv...

Rodrigo Pérez-Dattari, et al. ∙

research

∙ 10/12/2018

Relative compression of trajectories

We present RCT, a new compact data structure to represent trajectories o...

Nieves R. Brisaboa, et al. ∙

research

∙ 11/14/2018

Prophet Inequalities for Independent Random Variables from an Unknown Distribution

A central object in optimal stopping theory is the single-choice prophet...

José R. Correa, et al. ∙

research

∙ 11/20/2018

Visual SLAM-based Localization and Navigation for Service Robots: The Pepper Case

We propose a Visual-SLAM based localization and navigation system for se...

Cristopher Gómez, et al. ∙

research

∙ 11/27/2018

Towards Long-Term Memory for Social Robots: Proposing a New Challenge for the RoboCup@Home League

Long-term memory is essential to feel like a continuous being, and to be...

Matías Pavez, et al. ∙

research

∙ 11/29/2018

Playing Soccer without Colors in the SPL: A Convolutional Neural Network Approach

The goal of this paper is to propose a vision system for humanoid roboti...

Francisco Leiva, et al. ∙

research

∙ 01/10/2019

On the Turing Completeness of Modern Neural Network Architectures

Alternatives to recurrent neural networks, in particular, architectures ...

Jorge Pérez, et al. ∙

research

∙ 02/08/2019

Faster Repetition-Aware Compressed Suffix Trees based on Block Trees

Suffix trees are a fundamental data structure in stringology, but their ...

Manuel Cáceres, et al. ∙

research

∙ 02/20/2019

Fast, Small, and Simple Document Listing on Repetitive Text Collections

Document listing on string collections is the task of finding all docume...

Dustin Cobas, et al. ∙

research

∙ 02/27/2019

On the extension complexity of scheduling

Linear programming is a powerful method in combinatorial optimization wi...

Hans Raj Tiwary, et al. ∙

research

∙ 04/01/2019

A More General Theory of Static Approximations for Conjunctive Queries

Conjunctive query (CQ) evaluation is NP-complete, but becomes tractable ...

Pablo Barceló, et al. ∙

research

∙ 04/18/2019

Negative Prices in Network Pricing Games

In a Stackelberg network pricing game, a leader sets prices for a given ...

Andrés Cristi, et al. ∙

research

∙ 04/22/2019

Computational Complexity of Restricted Diffusion Limited Aggregation

We introduce a restricted version of the Diffusion Limited Aggregation (...

Nicolas Bitar, et al. ∙

research

∙ 06/15/2019

Approximate Normalization for Gradual Dependent Types

Dependent types help programmers write highly reliable code. However, th...

Joseph Eremondi, et al. ∙

research

∙ 06/23/2019

Compositionally-Warped Gaussian Processes

The Gaussian process (GP) is a nonparametric prior distribution over fun...

Felipe Tobar, et al. ∙

research

∙ 06/30/2019

A nodal integration scheme for meshfree Galerkin methods using the virtual element decomposition

In this paper, we present a novel nodal integration scheme for meshfree ...

R. Silva-Valenzuela, et al. ∙

research

∙ 08/06/2019

An Index for Sequencing Reads Based on The Colored de Bruijn Graph

In this article, we show how to transform a colored de Bruijn graph (dBG...

Diego Díaz-Domínguez, et al. ∙

Universidad de Chile

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