Katja Hansen

2 papers · 2010–2012 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10) 🌟 Keyword Trendsetter Combo (6)

🧭 Keyword Pioneer 📈 Trend Setter

Venues

JMLR (1) NeurIPS (1)

Top co-authors

Klaus-Robert Müller (2) Stefan Harmeling (1) Motoaki Kawanabe (1) Timon Schroeter (1) Grégoire Montavon (1) Franziska Biegler (1) Siamac Fazli (1) Anatole V. Lilienfeld (1) David Baehrens (1) Matthias Rupp (1)

Research topics

Machine Learning (2) Core Methods (2) Artificial Intelligence (1) Deep Learning (1) Healthcare & Medicine (1) Interdisciplinary (1) Architectures (1) Bayesian & Probabilistic (1) Core AI (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Research (1) Science (1)

Keywords

feature importance (1) graph representation (1) molecular machine learning (1) quantum mechanical energies (1) graph-like molecular data (1) atomization energy prediction (1) molecular geometry (1) atomization energy (1) graph-like data (1) molecular representation (1) invariant representation (1) molecular property prediction (1) molecular representation learning (1) model interpretation (1) explainable classification (1) graph neural network (1) quantum-mechanical energy (1) instance explanation (1) black-box classifier (1) chemical accuracy (1)

Papers

Learning Invariant Representations of Molecules for Atomization Energy Prediction NeurIPS 2012 How to Explain Individual Classification Decisions JMLR 2010