conftrace_

Bubacarr Bah

3 papers · 2016–2024 · 3 conferences · across top CS/AI conferences

Achievements

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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🏃 Academic Marathon (8) 🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer

🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Conferences

AISTATS (1) MICCAI (1) MIDL (1)

Top co-authors

Laura Kühlewein (2) Philipp Berens (2) Christian F. Baumgartner (1) Lisa Koch (1) Kerol R. Djoumessi Donteu (1) Anastasios Kyrillidis (1) Hanna Faber (1) Luca Baldassarre (1) Lisa M. Koch (1) Rouzbeh Hasheminezhad (1)

Keywords

convex optimization (1) linear regression (1) saliency map (1) sparse matrix (1) sparse linear model (1) interpretable model (1) block-sparse recovery (1) diabetic retinopathy (1) disease grading (1) deep bag-of-local features (1) expander matrix (1)

Papers

This actually looks like that: Proto-BagNets for local and global interpretability-by-design MICCAI 2024 Sparse Activations for Interpretable Disease Grading MIDL 2023 Convex Block-sparse Linear Regression with Expanders – Provably AISTATS 2016