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Dissecting Supervised Constrastive Learning
Minimizing cross-entropy over the softmax scores of a linear map compose...
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A Shooting Formulation of Deep Learning
Continuous-depth neural networks can be viewed as deep limits of discret...
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Topologically Densified Distributions
We study regularization in the context of small sample-size learning wit...
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Deep Multi-View Learning via Task-Optimal CCA
Canonical Correlation Analysis (CCA) is widely used for multimodal data ...
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Connectivity-Optimized Representation Learning via Persistent Homology
We study the problem of learning representations with controllable conne...
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Graph Filtration Learning
We propose an approach to learning with graph-structured data in the pro...
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Metric Learning for Image Registration
Image registration is a key technique in medical image analysis to estim...
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Stochastic Block Models with Multiple Continuous Attributes
The stochastic block model (SBM) is a probabilistic model for community ...
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Feature Space Transfer for Data Augmentation
The problem of data augmentation in feature space is considered. A new a...
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Fast Predictive Simple Geodesic Regression
Deformable image registration and regression are important tasks in medi...
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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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Deep Learning with Topological Signatures
Inferring topological and geometrical information from data can offer an...
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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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Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach
This paper introduces Quicksilver, a fast deformable image registration ...
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Fast Predictive Multimodal Image Registration
We introduce a deep encoder-decoder architecture for image deformation p...
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AGA: Attribute Guided Augmentation
We consider the problem of data augmentation, i.e., generating artificia...
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Fast Predictive Image Registration
We present a method to predict image deformations based on patch-wise im...
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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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A Stable Multi-Scale Kernel for Topological Machine Learning
Topological data analysis offers a rich source of valuable information t...
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