IMEXnet A Forward Stable Deep Neural Network. - Eldad Haber; Keegan Lensink; Eran Treister; Lars Ruthotto (ICML, 2019)

Fully Hyperbolic Convolutional Neural Networks. - Keegan Lensink; Eldad Haber; Bas Peters (CoRR, 2019)

Fluid Flow Mass Transport for Generative Networks. - Jingrong Lin; Keegan Lensink; Eldad Haber (CoRR, 2019)

Symmetric block-low-rank layers for fully reversible multilevel neural networks. - Bas Peters; Eldad Haber; Keegan Lensink (CoRR, 2019)

Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing. - Bas Peters; Eldad Haber; Keegan Lensink (CoRR, 2020)

Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients. - Keegan Lensink; Issam H. Laradji; Marco Law; Paolo Emilio Barbano; Savvas Nicolaou; William Parker; Eldad Haber (CoRR, 2020)

A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. - Issam H. Laradji; Pau Rodríguez; Frederic Branchaud-Charron; Keegan Lensink; Parmida Atighehchian; William Parker; David Vázquez 001; Derek Nowrouzezahrai (CoRR, 2020)

A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. - Issam H. Laradji; Pau Rodríguez; Oscar Mañas; Keegan Lensink; Marco Law; Lironne Kurzman; William Parker; David Vázquez 001; Derek Nowrouzezahrai (WACV, 2021)

Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data. - Bas Peters; Eldad Haber; Keegan Lensink (CoRR, 2024)