Predicting Weather Uncertainty with Deep Convnets. - Peter Grönquist; Tal Ben-Nun; Nikoli Dryden; Peter Dueben; Luca Lavarini; Shigang Li 002; Torsten Hoefler (CoRR, 2019)

Deep Learning for Post-Processing Ensemble Weather Forecasts. - Peter Grönquist; Chengyuan Yao; Tal Ben-Nun; Nikoli Dryden; Peter Dueben; Shigang Li 002; Torsten Hoefler (CoRR, 2020)

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors. - Peter Grönquist; Yufan Ren; Qingyi He; Alessio Verardo; Sabine Süsstrunk (CoRR, 2023)

Unlocking Comics: The AI4VA Dataset for Visual Understanding. - Peter Grönquist; Deblina Bhattacharjee; Bahar Aydemir; Baran Ozaydin; Tong Zhang 023; Mathieu Salzmann; Sabine Süsstrunk (ECCV Workshops (5), 2024)

OSPC: Artificial VLM Features for Hateful Meme Detection. - Peter Grönquist (CoRR, 2024)

Beyond Calibration: Physically Informed Learning for Raw-to-Raw Mapping. - Peter Grönquist; Stepan Tulyakov; Dengxin Dai (CoRR, 2025)