
Classification based on Topological Data Analysis
Topological Data Analysis (TDA) is an emergent field that aims to discov...
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Predicting Unplanned Readmissions with Highly Unstructured Data
Deep learning techniques have been successfully applied to predict unpla...
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Transformation Based Deep Anomaly Detection in Astronomical Images
In this work, we propose several enhancements to a geometric transformat...
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Pattern Spotting in Historical Documents Using Convolutional Models
Pattern spotting consists of searching in a collection of historical doc...
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Spectral Mixture Kernels for MultiOutput Gaussian Processes
Early approaches to multipleoutput Gaussian processes (MOGPs) relied on...
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Improving Sparsity in Kernel Adaptive Filters Using a UnitNorm Dictionary
Kernel adaptive filters, a class of adaptive nonlinear timeseries model...
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Initialising Kernel Adaptive Filters via Probabilistic Inference
We present a probabilistic framework for both (i) determining the initia...
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A review of learning vector quantization classifiers
In this work we present a review of the state of the art of Learning Vec...
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DeepHiTS: Rotation Invariant Convolutional Neural Network for Transient Detection
We introduce DeepHiTS, a rotation invariant convolutional neural networ...
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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 ...
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Bayesian Causal Induction
Discovering causal relationships is a hard task, often hindered by the n...
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Convergence of Bayesian Control Rule
Recently, new approaches to adaptive control have sought to reformulate ...
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A conversion between utility and information
Rewards typically express desirabilities or preferences over a set of al...
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A Bayesian Rule for Adaptive Control based on Causal Interventions
Explaining adaptive behavior is a central problem in artificial intellig...
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Veamy: an extensible objectoriented C++ library for the virtual element method
This paper summarizes the development of Veamy, an objectoriented C++ l...
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Organic Visualization of Document Evolution
Recent availability of data of writing processes at keystrokegranularit...
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Text Indexing and Searching in Sublinear Time
We introduce the first index that can be built in o(n) time for a text o...
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Approximating Geometric Knapsack via Lpackings
We study the twodimensional geometric knapsack problem (2DK) in which w...
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A Note on the QuasiStationary Distribution of the Shiryaev Martingale on the Positive HalfLine
We obtain a closedform formula for the quasistationary distribution of...
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A Grammar Compression Algorithm based on Induced Suffix Sorting
We introduce GCIS, a grammar compression algorithm based on the induced ...
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Depth Distribution in High Dimensions
Motivated by the analysis of range queries in databases, we introduce th...
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Strong Algorithms for the Ordinal Matroid Secretary Problem
In the ordinal Matroid Secretary Problem (MSP), elements from a weighted...
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TwoDimensional Block Trees
The Block Tree (BT) is a novel compact data structure designed to compre...
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Compact Representations of Event Sequences
We introduce a new technique for the efficient management of large seque...
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Learning nonGaussian Time Series using the BoxCox Gaussian Process
Gaussian processes (GPs) are Bayesian nonparametric generative models th...
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Universal Compressed Text Indexing
The rise of repetitive datasets has lately generated a lot of interest i...
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Software Engineering for Millennials, by Millennials
Software engineers need to manage both technical and professional skills...
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IRT scoring and the principle of consistent order
IRT models are being increasingly used worldwide for test construction a...
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Computing Coverage Kernels Under Restricted Settings
We consider the Minimum Coverage Kernel problem: given a set B of ddime...
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Quasipolynomial time approximation schemes for packing and covering problems in planar graphs
We consider two optimization problems in planar graphs. In Maximum Weigh...
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Bayesian Nonparametric Spectral Estimation
Spectral estimation (SE) aims to identify how the energy of a signal (e....
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Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks
Deep Reinforcement Learning (DRL) has become a powerful strategy to solv...
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Relative compression of trajectories
We present RCT, a new compact data structure to represent trajectories o...
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Prophet Inequalities for Independent Random Variables from an Unknown Distribution
A central object in optimal stopping theory is the singlechoice prophet...
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Visual SLAMbased Localization and Navigation for Service Robots: The Pepper Case
We propose a VisualSLAM based localization and navigation system for se...
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Towards LongTerm Memory for Social Robots: Proposing a New Challenge for the RoboCup@Home League
Longterm memory is essential to feel like a continuous being, and to be...
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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...
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On the Turing Completeness of Modern Neural Network Architectures
Alternatives to recurrent neural networks, in particular, architectures ...
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Faster RepetitionAware Compressed Suffix Trees based on Block Trees
Suffix trees are a fundamental data structure in stringology, but their ...
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Fast, Small, and Simple Document Listing on Repetitive Text Collections
Document listing on string collections is the task of finding all docume...
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On the extension complexity of scheduling
Linear programming is a powerful method in combinatorial optimization wi...
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A More General Theory of Static Approximations for Conjunctive Queries
Conjunctive query (CQ) evaluation is NPcomplete, but becomes tractable ...
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Negative Prices in Network Pricing Games
In a Stackelberg network pricing game, a leader sets prices for a given ...
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Computational Complexity of Restricted Diffusion Limited Aggregation
We introduce a restricted version of the Diffusion Limited Aggregation (...
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Approximate Normalization for Gradual Dependent Types
Dependent types help programmers write highly reliable code. However, th...
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CompositionallyWarped Gaussian Processes
The Gaussian process (GP) is a nonparametric prior distribution over fun...
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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 ...
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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...
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Note on distributed certification of minimum spanning trees
A distributed proof (also known as local certification, or prooflabelin...
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An Introduction to QuaternionValued Recurrent Projection Neural Networks
Hypercomplexvalued neural networks, including quaternionvalued neural ...
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Universidad de Chile
Main State Institution in Public Higher Education, founded in 1842. Undergraduate, postgraduate and postgraduate studies, research and extension.