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06/28/2023
Latent SDEs on Homogeneous Spaces
We consider the problem of variational Bayesian inference in a latent va...
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04/28/2023
Inverse Consistency by Construction for Multistep Deep Registration
Inverse consistency is a desirable property for image registration. We p...
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06/13/2022
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
Many registration approaches exist with early work focusing on optimizat...
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02/16/2022
On Measuring Excess Capacity in Neural Networks
We study the excess capacity of deep networks in the context of supervis...
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07/30/2021
Comparing object recognition in humans and deep convolutional neural networks – An eye tracking study
Deep convolutional neural networks (DCNNs) and the ventral visual pathwa...
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07/19/2021
Topological Attention for Time Series Forecasting
The problem of (point) forecasting univariate time series is considered....
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05/10/2021
ICON: Learning Regular Maps Through Inverse Consistency
Learning maps between data samples is fundamental. Applications range fr...
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05/01/2021
Sparse Pose Trajectory Completion
We propose a method to learn, even using a dataset where objects appear ...
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02/17/2021
Dissecting Supervised Constrastive Learning
Minimizing cross-entropy over the softmax scores of a linear map compose...
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06/18/2020
A Shooting Formulation of Deep Learning
Continuous-depth neural networks can be viewed as deep limits of discret...
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02/12/2020
Topologically Densified Distributions
We study regularization in the context of small sample-size learning wit...
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07/17/2019
Deep Multi-View Learning via Task-Optimal CCA
Canonical Correlation Analysis (CCA) is widely used for multimodal data ...
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06/21/2019
Connectivity-Optimized Representation Learning via Persistent Homology
We study the problem of learning representations with controllable conne...
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05/27/2019
Graph Filtration Learning
We propose an approach to learning with graph-structured data in the pro...
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04/21/2019
Metric Learning for Image Registration
Image registration is a key technique in medical image analysis to estim...
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03/07/2018
Stochastic Block Models with Multiple Continuous Attributes
The stochastic block model (SBM) is a probabilistic model for community ...
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01/13/2018
Feature Space Transfer for Data Augmentation
The problem of data augmentation in feature space is considered. A new a...
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11/15/2017
Fast Predictive Simple Geodesic Regression
Deformable image registration and regression are important tasks in medi...
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11/15/2017
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach
Brain extraction from 3D medical images is a common pre-processing step....
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07/13/2017
Deep Learning with Topological Signatures
Inferring topological and geometrical information from data can offer an...
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03/31/2017
Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach
Registration involving one or more images containing pathologies is chal...
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03/31/2017
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach
This paper introduces Quicksilver, a fast deformable image registration ...
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03/31/2017
Fast Predictive Multimodal Image Registration
We introduce a deep encoder-decoder architecture for image deformation p...
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12/08/2016
AGA: Attribute Guided Augmentation
We consider the problem of data augmentation, i.e., generating artificia...
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07/08/2016
Fast Predictive Image Registration
We present a method to predict image deformations based on patch-wise im...
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04/30/2015
Proceedings of The 39th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2015
The 39th annual workshop of the Austrian Association for Pattern Recogni...
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12/21/2014