Københavns Uni

∙ København , Denmark ∙ 0 followers

The university consists of six faculties comprising humanities, law, natural and life sciences, social sciences, health sciences and theology.

A Survey of Crowdsourcing in Medical Image Analysis

Rapid advances in image processing capabilities have been seen across ma...
02/25/2019 ∙ by Silas Ørting, et al. ∙ 28 ∙ share

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TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP

While state-of-the-art NLP explainability (XAI) methods focus on supervi...
12/02/2019 ∙ by Nils Rethmeier, et al. ∙ 20 ∙ share

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Uncertainty quantification in medical image segmentation with Normalizing Flows

Medical image segmentation is inherently an ambiguous task due to factor...
06/04/2020 ∙ by Raghavendra Selvan, et al. ∙ 15 ∙ share

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CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning

Approaches to Grounded Language Learning typically focus on a single tas...
06/03/2020 ∙ by Alessandro Suglia, et al. ∙ 13 ∙ share

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Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

Supervised feature learning using convolutional neural networks (CNNs) c...
06/19/2018 ∙ by Silas Nyboe Ørting, et al. ∙ 12 ∙ share

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Generating Fact Checking Explanations

Most existing work on automated fact checking is concerned with predicti...
04/13/2020 ∙ by Pepa Atanasova, et al. ∙ 12 ∙ share

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Back to the Future -- Sequential Alignment of Text Representations

Language evolves over time in many ways relevant to natural language pro...
09/08/2019 ∙ by Johannes Bjerva, et al. ∙ 10 ∙ share

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Horizontal Flows and Manifold Stochastics in Geometric Deep Learning

We introduce two constructions in geometric deep learning for 1) transpo...
09/13/2019 ∙ by Stefan Sommer, et al. ∙ 6 ∙ share

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PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

For proper generalization performance of convolutional neural networks (...
10/03/2018 ∙ by Mauricio Orbes-Arteaga, et al. ∙ 4 ∙ share

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It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction

We propose a multi-task deep-learning approach for estimating the check-...
08/19/2019 ∙ by Slavena Vasileva, et al. ∙ 4 ∙ share

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SubjQA: A Dataset for Subjectivity and Review Comprehension

Subjectivity is the expression of internal opinions or beliefs which can...
04/29/2020 ∙ by Johannes Bjerva, et al. ∙ 4 ∙ share

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A Discriminative Latent-Variable Model for Bilingual Lexicon Induction

We introduce a novel discriminative latent-variable model for the task o...
08/28/2018 ∙ by Sebastian Ruder, et al. ∙ 2 ∙ share

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3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

We present a convolutional network that is equivariant to rigid body mot...
07/06/2018 ∙ by Maurice Weiler, et al. ∙ 1 ∙ share

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Uncovering Probabilistic Implications in Typological Knowledge Bases

The study of linguistic typology is rooted in the implications we find b...
06/18/2019 ∙ by Johannes Bjerva, et al. ∙ 1 ∙ share

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Practical Hash Functions for Similarity Estimation and Dimensionality Reduction

Hashing is a basic tool for dimensionality reduction employed in several...
11/23/2017 ∙ by Søren Dahlgaard, et al. ∙ 0 ∙ share

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Sluice networks: Learning what to share between loosely related tasks

Multi-task learning is partly motivated by the observation that humans b...
05/23/2017 ∙ by Sebastian Ruder, et al. ∙ 0 ∙ share

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Deep-Learnt Classification of Light Curves

Astronomy light curves are sparse, gappy, and heteroscedastic. As a resu...
09/19/2017 ∙ by Ashish Mahabal, et al. ∙ 0 ∙ share

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Population-Contrastive-Divergence: Does Consistency help with RBM training?

Estimating the log-likelihood gradient with respect to the parameters of...
10/06/2015 ∙ by Oswin Krause, et al. ∙ 0 ∙ share

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Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing

Segmenting tree structures is common in several image processing applica...
08/07/2017 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Protein Secondary Structure Prediction with Long Short Term Memory Networks

Prediction of protein secondary structure from the amino acid sequence i...
12/25/2014 ∙ by Søren Kaae Sønderby, et al. ∙ 0 ∙ share

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Scale-Regularized Filter Learning

We start out by demonstrating that an elementary learning task, correspo...
07/10/2017 ∙ by Marco Loog, et al. ∙ 0 ∙ share

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Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy

Astrophysics and cosmology are rich with data. The advent of wide-area d...
04/15/2017 ∙ by Jan Kremer, et al. ∙ 0 ∙ share

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LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution

We conduct a thorough study of photometric stereo under nearby point lig...
07/04/2017 ∙ by Yvain Quéau, et al. ∙ 0 ∙ share

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Bridge Simulation and Metric Estimation on Landmark Manifolds

We present an inference algorithm and connected Monte Carlo based estima...
05/31/2017 ∙ by Stefan Sommer, et al. ∙ 0 ∙ share

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Multi-Dueling Bandits and Their Application to Online Ranker Evaluation

New ranking algorithms are continually being developed and refined, nece...
08/22/2016 ∙ by Brian Brost, et al. ∙ 0 ∙ share

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A Strongly Quasiconvex PAC-Bayesian Bound

We propose a new PAC-Bayesian bound and a way of constructing a hypothes...
08/19/2016 ∙ by Niklas Thiemann, et al. ∙ 0 ∙ share

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Extraction of airway trees using multiple hypothesis tracking and template matching

Knowledge of airway tree morphology has important clinical applications ...
11/24/2016 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Most Likely Separation of Intensity and Warping Effects in Image Registration

This paper introduces a class of mixed-effects models for joint modeling...
04/18/2016 ∙ by Line Kuhnel, et al. ∙ 0 ∙ share

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Significant Subgraph Mining with Multiple Testing Correction

The problem of finding itemsets that are statistically significantly enr...
07/01/2014 ∙ by Mahito Sugiyama, et al. ∙ 0 ∙ share

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Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures

Automatic description generation from natural images is a challenging pr...
01/15/2016 ∙ by Raffaella Bernardi, et al. ∙ 0 ∙ share

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Higher-order Spatial Accuracy in Diffeomorphic Image Registration

We discretize a cost functional for image registration problems by deriv...
12/23/2014 ∙ by Henry O. Jacobs, et al. ∙ 0 ∙ share

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Sparse group lasso and high dimensional multinomial classification

The sparse group lasso optimization problem is solved using a coordinate...
05/06/2012 ∙ by Martin Vincent, et al. ∙ 0 ∙ share

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Geodesic Exponential Kernels: When Curvature and Linearity Conflict

We consider kernel methods on general geodesic metric spaces and provide...
11/02/2014 ∙ by Aasa Feragen, et al. ∙ 0 ∙ share

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All-at-once Optimization for Coupled Matrix and Tensor Factorizations

Joint analysis of data from multiple sources has the potential to improv...
05/17/2011 ∙ by Evrim Acar, et al. ∙ 0 ∙ share

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Geometric tree kernels: Classification of COPD from airway tree geometry

Methodological contributions: This paper introduces a family of kernels ...
03/29/2013 ∙ by Aasa Feragen, et al. ∙ 0 ∙ share

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Towards a theory of statistical tree-shape analysis

In order to develop statistical methods for shapes with a tree-structure...
07/23/2012 ∙ by Aasa Feragen, et al. ∙ 0 ∙ share

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Higher-Order Momentum Distributions and Locally Affine LDDMM Registration

To achieve sparse parametrizations that allows intuitive analysis, we ai...
12/14/2011 ∙ by Stefan Sommer, et al. ∙ 0 ∙ share

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Tracking Typological Traits of Uralic Languages in Distributed Language Representations

Although linguistic typology has a long history, computational approache...
11/15/2017 ∙ by Johannes Bjerva, et al. ∙ 0 ∙ share

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Limitations of Cross-Lingual Learning from Image Search

Cross-lingual representation learning is an important step in making NLP...
09/18/2017 ∙ by Mareike Hartmann, et al. ∙ 0 ∙ share

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End-to-End Information Extraction without Token-Level Supervision

Most state-of-the-art information extraction approaches rely on token-le...
07/16/2017 ∙ by Rasmus Berg Palm, et al. ∙ 0 ∙ share

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Cross-lingual and cross-domain discourse segmentation of entire documents

Discourse segmentation is a crucial step in building end-to-end discours...
04/13/2017 ∙ by Chloé Braud, et al. ∙ 0 ∙ share

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A Study of Metrics of Distance and Correlation Between Ranked Lists for Compositionality Detection

Compositionality in language refers to how much the meaning of some phra...
03/10/2017 ∙ by Christina Lioma, et al. ∙ 0 ∙ share

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Identifying beneficial task relations for multi-task learning in deep neural networks

Multi-task learning (MTL) in deep neural networks for NLP has recently r...
02/27/2017 ∙ by Joachim Bingel, et al. ∙ 0 ∙ share

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Improving sentence compression by learning to predict gaze

We show how eye-tracking corpora can be used to improve sentence compres...
04/12/2016 ∙ by Sigrid Klerke, et al. ∙ 0 ∙ share

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Euclidean Distance Degree for Chemical Reaction Networks

In this paper we investigate the complexity of model selection and model...
07/24/2017 ∙ by Michael F Adamer, et al. ∙ 0 ∙ share

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Learning Large Scale Ordinary Differential Equation Systems

Learning large scale nonlinear ordinary differential equation (ODE) syst...
10/25/2017 ∙ by Frederik Vissing Mikkelsen, et al. ∙ 0 ∙ share

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Cons-free Programming with Immutable Functions

We investigate the power of non-determinism in purely functional program...
11/09/2017 ∙ by Cynthia Kop, et al. ∙ 0 ∙ share

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Computational Anatomy in Theano

To model deformation of anatomical shapes, non-linear statistics are req...
06/15/2017 ∙ by Line Kuhnel, et al. ∙ 0 ∙ share

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Stochastic Development Regression on Non-Linear Manifolds

We introduce a regression model for data on non-linear manifolds. The mo...
03/01/2017 ∙ by Line Kuhnel, et al. ∙ 0 ∙ share

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Non-deterministic Characterisations

In this paper, we extend Jones' result -- that cons-free programming wit...
11/09/2017 ∙ by Cynthia Kop, et al. ∙ 0 ∙ share

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