Matthew Amodio

According to our database1, Matthew Amodio authored at least 16 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Single-cell multi-modal GAN reveals spatial patterns in single-cell data from triple-negative breast cancer.
Patterns, 2022

CUTS: A Fully Unsupervised Framework for Medical Image Segmentation.
CoRR, 2022

2021
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference.
Patterns, 2021

Canvas GAN: Bootstrapped Image-Conditional Models.
Proceedings of the International Joint Conference on Neural Networks, 2021

Noise Space Optimization for GANs.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multiple-manifold Generation with an Ensemble GAN and Learned Noise Prior.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer.
CoRR, 2020

Learning General Transformations of Data for Out-of-Sample Extensions.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Interpretable Neuron Structuring with Graph Spectral Regularization.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019
Finding Archetypal Spaces for Data Using Neural Networks.
CoRR, 2019

Generating and Aligning from Data Geometries with Generative Adversarial Networks.
CoRR, 2019

TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Finding Archetypal Spaces Using Neural Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Graph Spectral Regularization for Neural Network Interpretability.
CoRR, 2018

MAGAN: Aligning Biological Manifolds.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Neural Attribute Machines for Program Generation.
CoRR, 2017


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