Jonathan Heek

6 papers · 2023–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

ICML (3) NeurIPS (2) CVPR (1)

Top co-authors

Tim Salimans (4) Emiel Hoogeboom (4) Thomas Mensink (3) Piotr Padlewski (2) Mathilde Caron (2) Mostafa Dehghani (2) Robert Geirhos (2) Avital Oliver (2) Joan Puigcerver (2) Neil Houlsby (2)

Research topics

Deep Learning (5) Computer Vision (4) Machine Learning (4) Models (4) Generation (3) Application Areas (2) Architectures (2) Learning Types (2) Artificial Intelligence (1) Analysis (1) Core AI (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

diffusion model (3) image generation (3) high-resolution image (2) latent diffusion (2) high resolution (2) vision transformer (2) moment matching (1) denoising diffusion (1) model scaling (1) parameter efficiency (1) conditional expectation (1) sampling step (1) noise schedule (1) contrastive pre-training (1) temporal data (1) pixel-space diffusion (1) shape texture bia (1) image-text pre-training (1) sequence packing (1) native resolution (1)

Papers

Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion CVPR 2025 Multistep Distillation of Diffusion Models via Moment Matching NeurIPS 2024 Rolling Diffusion Models ICML 2024 Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution NeurIPS 2023 Scaling Vision Transformers to 22 Billion Parameters ICML 2023 simple diffusion: End-to-end diffusion for high resolution images ICML 2023