
Coupled Ensembles of Neural Networks
We investigate in this paper the architecture of deep convolutional netw...
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Observable dictionary learning for highdimensional statistical inference
This paper introduces a method for efficiently inferring a highdimensio...
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Clustering with phylogenetic tools in astrophysics
Phylogenetic approaches are finding more and more applications outside t...
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Regret Minimization in Repeated Games: A SetValued Dynamic Programming Approach
The regretminimization paradigm has emerged as an effective technique f...
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Effective persistent homology of digital images
In this paper, three Computational Topology methods (namely effective ho...
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A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments
Most speech and language technologies are trained with massive amounts o...
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Disentangling ASR and MT Errors in Speech Translation
The main aim of this paper is to investigate automatic quality assessmen...
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SPEECHCOCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set
This paper presents an augmentation of MSCOCO dataset where speech is ad...
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LIGCRIStAL System for the WMT17 Automatic PostEditing Task
This paper presents the LIGCRIStAL submission to the shared Automatic P...
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Multitask Learning for FineGrained Twitter Sentiment Analysis
Traditional sentiment analysis approaches tackle problems like ternary (...
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Spatial point processes intensity estimation with a diverging number of covariates
Feature selection procedures for spatial point processes parametric inte...
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Sparse multivariate factorization by mean of a few bivariate factorizations
We describe an algorithm to factor sparse multivariate polynomials using...
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Approximation intensity for pairwise interaction Gibbs point processes using determinantal point processes
The intensity of a Gibbs point process is usually an intractable functio...
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Enhancing Translation Language Models with Word Embedding for Information Retrieval
In this paper, we explore the usage of Word Embedding semantic resources...
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A Tableaux Calculus for Reducing Proof Size
A tableau calculus is proposed, based on a compressed representation of ...
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Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation
Recent works in spoken language translation (SLT) have attempted to buil...
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NearOptimality Recovery of Linear and NConvex Functions on Unions of Convex Sets
In this paper, following the line of research on "statistical inference ...
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Socioeconomic Dependencies of Linguistic Patterns in Twitter: A Multivariate Analysis
Our usage of language is not solely reliant on cognition but is arguably...
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NearOptimal Recovery of Linear and NConvex Functions on Unions of Convex Sets
In this paper, following the line of research on "statistical inference ...
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Crosslingual Document Retrieval using Regularized Wasserstein Distance
Many information retrieval algorithms rely on the notion of a good dista...
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Tokenlevel and sequencelevel loss smoothing for RNN language models
Despite the effectiveness of recurrent neural network language models, t...
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Exponential Integrators with ParallelinTime Rational Approximations for Climate and Weather Simulations
Highperformance computing trends towards manycore systems are expected...
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Checking DeadlockFreedom of Parametric ComponentBased Systems
We propose an automated method for computing inductive invariants applie...
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Beyond admissibility: Dominance between chains of strategies
Admissible strategies, i.e. those that are not dominated by any other st...
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Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists
Network measurements are an important tool in understanding the Internet...
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Trapezoidal rule and sampling designs for the nonparametric estimation of the regression function in models with correlated errors
The problem of estimating the regression function in a fixed design mode...
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Unsupervised Word Segmentation from Speech with Attention
We present a first attempt to perform attentional word segmentation dire...
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Deep kMeans: Jointly Clustering with kMeans and Learning Representations
We study in this paper the problem of jointly clustering and learning re...
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Proofofwork certificates that can be efficiently computed in the cloud
In an emerging computing paradigm, computational capabilities, from proc...
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Formalizing the CoxRossRubinstein pricing of European derivatives in Isabelle/HOL
We formalize in the proof assistant Isabelle essential basic notions and...
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A small GrikoItalian speech translation corpus
This paper presents an extension to a very lowresource parallel corpus ...
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Pervasive Attention: 2D Convolutional Neural Networks for SequencetoSequence Prediction
Current stateoftheart machine translation systems are based on encode...
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Handwriting styles: benchmarks and evaluation metrics
Evaluating the style of handwriting generation is a challenging problem,...
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Classification Algorithms for SemiBlind Uplink/Downlink Decoupling in sub6 GHz/mmWave 5G Networks
Reliability and latency challenges in future mixed sub6 GHz/millimeter ...
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The reproducing kernel Hilbert space approach in nonparametric regression problems with correlated observations
In this paper we investigate the problem of estimating the regression fu...
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Exponential Integrators with ParallelinTime Rational Approximations for the ShallowWater Equations on the Rotating Sphere
Highperformance computing trends towards manycore systems are expected...
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Dealing with Uncertain Inputs in Regression Trees
Treebased ensemble methods, as Random Forests and Gradient Boosted Tree...
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Global sensitivity analysis for models described by stochastic differential equations
Many mathematical models involve input parameters, which are not precise...
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Style Transfer and Extraction for the Handwritten Letters Using Deep Learning
How can we learn, transfer and extract handwriting styles using deep neu...
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Exploration of Interesting Dense Regions in Spatial Data
Nowadays, spatial data are ubiquitous in various fields of science, such...
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Signal recovery by Stochastic Optimization
We discuss an approach to signal recovery in Generalized Linear Models (...
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Scaling limits for random triangulations on the torus
We study the scaling limit of essentially simple triangulations on the t...
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Empirical Evaluation of SequencetoSequence Models for Word Discovery in Lowresource Settings
Since Bahdanau et al. [1] first introduced attention for neural machine ...
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Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method
We propose an approach to construction of robust nonEuclidean iterative...
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Analysis of a MemoryEfficient SelfStabilizing BFS Spanning Tree
We present results on the last topic we collaborate with our late friend...
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Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance
This paper analyzes the gender representation in four major corpora of F...
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Offline identification of surgical deviations in laparoscopic rectopexy
Objective: A median of 14.4 during surgery and a third of them are preve...
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SemiSupervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
In Natural Language Generation (NLG), EndtoEnd (E2E) systems trained t...
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How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages
For language documentation initiatives, transcription is an expensive re...
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Semisupervised Wrapper Feature Selection with Imperfect Labels
In this paper, we propose a new wrapper approach for semisupervised fea...
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