Application of semi-supervised deep learning to lung sound analysis. - Daniel Chamberlain; Rahul Kodgule; Daniela Ganelin; Vivek Miglani; Richard Ribón Fletcher (EMBC, 2016)

Captum: A unified and generic model interpretability library for PyTorch. - Narine Kokhlikyan; Vivek Miglani; Miguel Martin 001; Edward Wang; Bilal Alsallakh; Jonathan Reynolds; Alexander Melnikov; Natalia Kliushkina; Carlos Araya; Siqi Yan; Orion Reblitz-Richardson (CoRR, 2020)

Investigating Saturation Effects in Integrated Gradients. - Vivek Miglani; Narine Kokhlikyan; Bilal Alsallakh; Miguel Martin 001; Orion Reblitz-Richardson (CoRR, 2020)

Mind the Pad - CNNs Can Develop Blind Spots. - Bilal Alsallakh; Narine Kokhlikyan; Vivek Miglani; Jun Yuan; Orion Reblitz-Richardson (ICLR, 2021)

Investigating sanity checks for saliency maps with image and text classification. - Narine Kokhlikyan; Vivek Miglani; Bilal Alsallakh; Miguel Martin 001; Orion Reblitz-Richardson (CoRR, 2021)

Bias Mitigation Framework for Intersectional Subgroups in Neural Networks. - Narine Kokhlikyan; Bilal Alsallakh; Fulton Wang; Vivek Miglani; Oliver Aobo Yang; David Adkins (CoRR, 2022)

Mind the Pool: Convolutional Neural Networks Can Overfit Input Size. - Bilal Alsallakh; David Yan; Narine Kokhlikyan; Vivek Miglani; Orion Reblitz-Richardson; Pamela Bhattacharya (ICLR, 2023)

Using Captum to Explain Generative Language Models. - Vivek Miglani; Oliver Aobo Yang; Aram H. Markosyan; Diego Garcia-Olano; Narine Kokhlikyan (CoRR, 2023)

On Symmetries in Convolutional Weights. - Bilal Alsallakh; Timothy Wroge; Vivek Miglani; Narine Kokhlikyan (CoRR, 2025)