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05/31/2023
A Unified Framework for U-Net Design and Analysis
U-Nets are a go-to, state-of-the-art neural architecture across numerous...
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01/19/2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
U-Net architectures are ubiquitous in state-of-the-art deep learning, ho...
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03/01/2022
Neural Score Matching for High-Dimensional Causal Inference
Traditional methods for matching in causal inference are impractical for...
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11/30/2021
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021
A collection of the accepted abstracts for the Machine Learning for Heal...
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06/09/2021
Multi-Facet Clustering Variational Autoencoders
Work in deep clustering focuses on finding a single partition of data. H...
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02/04/2021
Ivy: Templated Deep Learning for Inter-Framework Portability
We introduce Ivy, a templated Deep Learning (DL) framework which abstrac...
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11/19/2020
ML4H Abstract Track 2020
A collection of the accepted abstracts for the Machine Learning for Heal...
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02/24/2020
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM
Generally capable Spatial AI systems must build persistent scene represe...
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02/05/2020
ML4H Abstract Track 2019
A collection of the accepted abstracts for the Machine Learning for Heal...
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11/12/2019
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
Monitoring physiological responses to hemodynamic stress can help in det...
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10/23/2018