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09/21/2023
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization
Efficient training of large-scale graph neural networks (GNNs) has been ...
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09/05/2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Artificial Intelligence (AI) is currently spearheaded by machine learnin...
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03/17/2023
Operating critical machine learning models in resource constrained regimes
The accelerated development of machine learning methods, primarily deep ...
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01/13/2023
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis
Medical imaging plays a vital role in modern diagnostics and treatment. ...
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10/12/2022
Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search
The demand for large-scale computational resources for Neural Architectu...
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08/23/2022
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation
Learning discriminative representations of unlabelled data is a challeng...
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07/20/2022
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods
Generative models such as Generative Adversarial Networks (GANs) and Var...
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03/04/2022
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis
The increasing energy consumption and carbon footprint of deep learning ...
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09/15/2021
Patch-based medical image segmentation using Quantum Tensor Networks
Tensor networks are efficient factorisations of high dimensional tensors...
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09/14/2021
Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space
Precise identification of mouse brain microscopy images is a crucial fir...
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02/13/2021
Segmenting two-dimensional structures with strided tensor networks
Tensor networks provide an efficient approximation of operations involvi...
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02/10/2021
Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals
While insects are the largest and most diverse group of animals, constit...
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01/06/2021
Detection of foraging behavior from accelerometer data using U-Net type convolutional networks
Narwhal is one of the most mysterious marine mammals, due to its isolate...
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11/13/2020
Multi-layered tensor networks for image classification
The recently introduced locally orderless tensor network (LoTeNet) for s...
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09/25/2020
Locally orderless tensor networks for classifying two- and three-dimensional medical images
Tensor networks are factorisations of high rank tensors into networks of...
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07/06/2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Deep learning (DL) can achieve impressive results across a wide variety ...
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06/04/2020
Uncertainty quantification in medical image segmentation with Normalizing Flows
Medical image segmentation is inherently an ambiguous task due to factor...
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05/20/2020
Lung Segmentation from Chest X-rays using Variational Data Imputation
Pulmonary opacification is the inflammation in the lungs caused by many ...
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04/21/2020
Tensor Networks for Medical Image Classification
With the increasing adoption of machine learning tools like neural netwo...
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08/22/2019
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
We present an end-to-end deep learning segmentation method by combining ...
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02/28/2019
Segmentation of Roots in Soil with U-Net
Plant root research can provide a way to attain stress-tolerant crops th...
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11/21/2018
Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks
Graph refinement, or the task of obtaining subgraphs of interest from ov...
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06/23/2018
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses
In this work, we adapt a method based on multiple hypothesis tracking (M...
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04/12/2018
Extraction of Airways using Graph Neural Networks
We present extraction of tree structures, such as airways, from image da...
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04/10/2018
Mean Field Network based Graph Refinement with application to Airway Tree Extraction
We present tree extraction in 3D images as a graph refinement task, of o...
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08/07/2017
Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing
Segmenting tree structures is common in several image processing applica...
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11/24/2016
