✨ Excited to present our workshop paper at DataWorld at #ICML2025 tomorrow 🇨🇦

We introduce the problem of detecting cross-modal errors in tabular data that originate from other modalities.

Visit our poster:
📅 Saturday, July 19, 10:05 AM - 11:20 AM
📍 West Meeting Room 208-209

🎉 Happy to present our spotlight paper at #ICML2025 tomorrow 🇨🇦

We introduce scSSL-Bench, a benchmark evaluating 19 SSL methods across 9 single-cell multi-omics datasets🧬 and 3 tasks.

Visit our poster:
📅 Thu Jul 17, 11 AM - 1:30 PM PDT
📍 West Exhibition Hall B2-B3 #W-311

Our paper "Towards Cross-Modal Error Detection with Tables and Images" was accepted for the DataWorld workshop at ICML'25! 🥳

Thanks to @mersault.bsky.social!

Furthermore, we find that masking leads to the biggest performance improvement for creating augmented views of a cell.

Our bechmark shows that SimCLR and VICReg are the best methods for single-cell data across batch integration, query-to-reference, and missing modality prediction tasks.

📢 Our benchmark on self-supervised learning for single-cell data🧬 is accepted at the #NeurIPS2024 SSL workshop. We take a first step towards establishing best practices for SSL methods for single-cell data, and benchmark 8 SSL methods on 3 downstream tasks across 8 datasets.