Neural Attribute Machines for Program Generation. - Matthew Amodio; Swarat Chaudhuri; Thomas W. Reps (CoRR, 2017)

MAGAN: Aligning Biological Manifolds. - Matthew Amodio; Smita Krishnaswamy (ICML, 2018)

Graph Spectral Regularization for Neural Network Interpretability. - Alexander Tong 001; David van Dijk; Jay S. Stanley III; Matthew Amodio; Guy Wolf; Smita Krishnaswamy (CoRR, 2018)

Finding Archetypal Spaces Using Neural Networks. - David van Dijk; Daniel B. Burkhardt; Matthew Amodio; Alexander Tong 001; Guy Wolf; Smita Krishnaswamy (IEEE BigData, 2019)

TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. - Matthew Amodio; Smita Krishnaswamy (CVPR, 2019)

Generating and Aligning from Data Geometries with Generative Adversarial Networks. - Matthew Amodio; Smita Krishnaswamy (CoRR, 2019)

Finding Archetypal Spaces for Data Using Neural Networks. - David van Dijk; Daniel B. Burkhardt; Matthew Amodio; Alexander Tong 001; Guy Wolf; Smita Krishnaswamy (CoRR, 2019)

Interpretable Neuron Structuring with Graph Spectral Regularization. - Alexander Tong 001; David van Dijk; Jay S. Stanley III; Matthew Amodio; Kristina Yim; Rebecca Muhle; James Noonan; Guy Wolf; Smita Krishnaswamy (IDA, 2020)

Learning General Transformations of Data for Out-of-Sample Extensions. - Matthew Amodio; David van Dijk; Guy Wolf; Smita Krishnaswamy (MLSP, 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)

Multiple-manifold Generation with an Ensemble GAN and Learned Noise Prior. - Matthew Amodio; Smita Krishnaswamy (IDA, 2021)

Noise Space Optimization for GANs. - Matthew Amodio; Smita Krishnaswamy (IJCNN, 2021)

Canvas GAN: Bootstrapped Image-Conditional Models. - Matthew Amodio; Smita Krishnaswamy (IJCNN, 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)

CUTS: A Fully Unsupervised Framework for Medical Image Segmentation. - Matthew Amodio; Feng Gao; Arman Avesta; Sanjay Aneja; Luciano V. Del Priore; Jay Wang; Smita Krishnaswamy (CoRR, 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 Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation. - Chen Liu 020; Matthew Amodio; Liangbo L. Shen; Feng Gao; Arman Avesta; Sanjay Aneja; Jay C. Wang; Luciano V. Del Priore; Smita Krishnaswamy (MICCAI (8), 2024)