Fabrication and programming of large physically evolving networks. - Alfred W. Hübler; Cory Stephenson; Dave Lyon; Ryan Swindeman (Complex., 2011)

Monaural speaker separation using source-contrastive estimation. - Cory Stephenson; Patrick Callier; Abhinav Ganesh; Karl Ni (SiPS, 2017)

Monaural Audio Speaker Separation with Source Contrastive Estimation. - Cory Stephenson; Patrick Callier; Abhinav Ganesh; Karl S. Ni (CoRR, 2017)

Deep Speech Denoising with Vector Space Projections. - Jeffrey Hetherly; Paul Gamble; Maria Alejandra Barrios; Cory Stephenson; Karl Ni (INTERSPEECH, 2018)

Voices Obscured in Complex Environmental Settings (VOiCES) Corpus. - Colleen Richey; María Auxiliadora Barrios; Zeb Armstrong; Chris Bartels; Horacio Franco; Martin Graciarena; Aaron Lawson; Mahesh Kumar Nandwana; Allen R. Stauffer; Julien van Hout; Paul Gamble; Jeffrey Hetherly; et al. (INTERSPEECH, 2018)

Adversarially Trained Autoencoders for Parallel-data-free Voice Conversion. - Orhan Ocal; Oguz H. Elibol; Gokce Keskin; Cory Stephenson; Anil Thomas; Kannan Ramchandran (ICASSP, 2019)

Semi-Supervised Voice Conversion with Amortized Variational Inference. - Cory Stephenson; Gokce Keskin; Anil Thomas; Oguz H. Elibol (INTERSPEECH, 2019)

Untangling in Invariant Speech Recognition. - Cory Stephenson; Jenelle Feather; Suchismita Padhy; Oguz H. Elibol; Hanlin Tang; Josh H. McDermott; SueYeon Chung (NeurIPS, 2019)

A Comparison of Loss Weighting Strategies for Multi task Learning in Deep Neural Networks. - Ting Gong; Tyler Lee; Cory Stephenson; Venkata Renduchintala; Suchismita Padhy; Anthony Ndirango; Gokce Keskin; Oguz H. Elibol (IEEE Access, 2019)

Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support. - Gokce Keskin; Tyler Lee; Cory Stephenson; Oguz H. Elibol (CoRR, 2019)

Emergence of Separable Manifolds in Deep Language Representations. - Jonathan Mamou; Hang Le 002; Miguel Del Rio; Cory Stephenson; Hanlin Tang; Yoon Kim; SueYeon Chung (ICML, 2020)

On the geometry of generalization and memorization in deep neural networks. - Cory Stephenson; Suchismita Padhy; Abhinav Ganesh; Yue Hui; Hanlin Tang; SueYeon Chung (ICLR, 2021)

When and how epochwise double descent happens. - Cory Stephenson; Tyler Lee (CoRR, 2021)

Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates. - Jacob P. Portes; Davis W. Blalock; Cory Stephenson; Jonathan Frankle (CoRR, 2022)

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images. - Aaron Gokaslan; A. Feder Cooper; Jasmine Collins; Landan Seguin; Austin Jacobson; Mihir Patel; Jonathan Frankle; Cory Stephenson; Volodymyr Kuleshov (CoRR, 2023)

Common Canvas: Open Diffusion Models Trained on Creative-Commons Images. - Aaron Gokaslan; A. Feder Cooper; Jasmine Collins; Landan Seguin; Austin Jacobson; Mihir Patel; Jonathan Frankle; Cory Stephenson; Volodymyr Kuleshov (CVPR, 2024)