Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. - Ali Mohebbi 001; Alexander Rosenberg Johansen; Nicklas Hansen 002; Peter Ebert Christensen; Jens Magelund Tarp; Morten Lind Jensen; Henrik Bengtsson; Morten Mørup (EMBC, 2020)

Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. - Kavi Gupta; Peter Ebert Christensen; Xinyun Chen; Dawn Song (NeurIPS, 2020)

Autoencoding undirected molecular graphs with neural networks. - Jeppe Johan Waarkjær Olsen; Peter Ebert Christensen; Martin Hangaard Hansen; Alexander Rosenberg Johansen (CoRR, 2020)

Searching for Structure in Unfalsifiable Claims. - Peter Ebert Christensen; Frederik Warburg; Menglin Jia; Serge J. Belongie (CoRR, 2022)

Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning. - Peter Ebert Christensen; Srishti Yadav; Serge J. Belongie (CoRR, 2023)

Volumetric Disentanglement for 3D Scene Manipulation. - Sagie Benaim; Frederik Warburg; Peter Ebert Christensen; Serge J. Belongie (WACV, 2024)

Assessing Neural Network Robustness via Adversarial Pivotal Tuning. - Peter Ebert Christensen; Vésteinn Snæbjarnarson; Andrea Dittadi; Serge J. Belongie; Sagie Benaim (WACV, 2024)

A Template Is All You Meme. - Luke Bates; Peter Ebert Christensen; Preslav Nakov; Iryna Gurevych (NAACL (Long Papers), 2025)

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes. - Shiling Deng; Serge J. Belongie; Peter Ebert Christensen (CoRR, 2025)