Heek, Jonathan

7 publications

CVPR 2025 Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-Space Diffusion Emiel Hoogeboom, Thomas Mensink, Jonathan Heek, Kay Lamerigts, Ruiqi Gao, Tim Salimans

NeurIPS 2024 Multistep Distillation of Diffusion Models via Moment Matching Tim Salimans, Thomas Mensink, Jonathan Heek, Emiel Hoogeboom

ICML 2024 Rolling Diffusion Models David Ruhe, Jonathan Heek, Tim Salimans, Emiel Hoogeboom

NeurIPS 2023 Patch N’ Pack: NaViT, a Vision Transformer for Any Aspect Ratio and Resolution Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim M Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey Gritsenko, Mario Lucic, Neil Houlsby

ICML 2023 Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd Van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby

ICML 2023 Simple Diffusion: End-to-End Diffusion for High Resolution Images Emiel Hoogeboom, Jonathan Heek, Tim Salimans

NeurIPSW 2022 Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Jonas Ngnawe, Marianne ABEMGNIGNI Njifon, Jonathan Heek, Yann Dauphin