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07/19/2023
Revisiting invariances and introducing priors in Gromov-Wasserstein distances
Gromov-Wasserstein distance has found many applications in machine learn...
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07/11/2023
One-Versus-Others Attention: Scalable Multimodal Integration
Multimodal learning models have become increasingly important as they su...
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06/17/2022
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis
Alzheimer's Disease (AD) is the most common neurodegenerative disorder w...
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05/30/2022
Unbalanced CO-Optimal Transport
Optimal transport (OT) compares probability distributions by computing a...
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09/12/2021
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation
We present a joint graph convolution-image convolution neural network as...
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07/10/2018
DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications
Computational methods that predict differential gene expression from his...
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10/30/2017
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification
One of the fundamental tasks in understanding genomics is the problem of...
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08/01/2017
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
The past decade has seen a revolution in genomic technologies that enabl...
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04/24/2017
GaKCo: a Fast GApped k-mer string Kernel using COunting
String Kernel (SK) techniques, especially those using gapped k-mers as f...
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02/22/2017
Memory Matching Networks for Genomic Sequence Classification
When analyzing the genome, researchers have discovered that proteins bin...
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08/12/2016
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
Deep neural network (DNN) models have recently obtained state-of-the-art...
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05/11/2016