Matthew Amodio

According to our database, Matthew Amodio authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation.

Chen Liu, Matthew Amodio, Liangbo L. Shen, Feng Gao, Arman Avesta, Sanjay Aneja, Jay C. Wang, Lucian V. Del Priore, Smita Krishnaswamy

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022

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

Matthew Amodio, Scott E. Youlten, Aarthi Venkat, Beatriz P. San Juan, Christine L. Chaffer, Smita Krishnaswamy

Patterns, 2022

CUTS: A Fully Unsupervised Framework for Medical Image Segmentation.

Matthew Amodio, Feng Gao, Arman Avesta, Sanjay Aneja, Lucian V. Del Priore, Jay Wang, Smita Krishnaswamy

CoRR, 2022

2021

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

Matthew Amodio, Dennis L. Shung, Daniel B. Burkhardt, Patrick Wong, Michael Simonov, Yu Yamamoto, David van Dijk, Francis Perry Wilson, Akiko Iwasaki, Smita Krishnaswamy

Patterns, 2021

Canvas GAN: Bootstrapped Image-Conditional Models.

Matthew Amodio, Smita Krishnaswamy

Proceedings of the International Joint Conference on Neural Networks, 2021

Noise Space Optimization for GANs.

Matthew Amodio, Smita Krishnaswamy

Proceedings of the International Joint Conference on Neural Networks, 2021

Multiple-manifold Generation with an Ensemble GAN and Learned Noise Prior.

Matthew Amodio, Smita Krishnaswamy

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020

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

Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy, Yoshua Bengio

CoRR, 2020

Learning General Transformations of Data for Out-of-Sample Extensions.

Matthew Amodio, David van Dijk, Guy Wolf, Smita Krishnaswamy

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Interpretable Neuron Structuring with Graph Spectral Regularization.

Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf, Smita Krishnaswamy

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019

Finding Archetypal Spaces for Data Using Neural Networks.

David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy

CoRR, 2019

Generating and Aligning from Data Geometries with Generative Adversarial Networks.

Matthew Amodio, Smita Krishnaswamy

CoRR, 2019

TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning.

Matthew Amodio, Smita Krishnaswamy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Finding Archetypal Spaces Using Neural Networks.

David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Graph Spectral Regularization for Neural Network Interpretability.

Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Guy Wolf, Smita Krishnaswamy

CoRR, 2018

MAGAN: Aligning Biological Manifolds.

Matthew Amodio, Smita Krishnaswamy

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Neural Attribute Machines for Program Generation.

Matthew Amodio, Swarat Chaudhuri, Thomas W. Reps

CoRR, 2017