Publications

Please find below a list of my publications, workshop papers and preprints. The full list can also be found on my my Google Scholar profile.

Peer-reviewed articles

Schrodi, S.*, Farid, K.*, Argus, M., & Brox, T. Latent Diffusion Counterfactual Explanations. GCPR 2024. arXiv link. Code link.

Birinxhiku, L., Stoll, D., Schrodi, S., & Hutter, F. Beyond Graph-Based Modeling for Hierarchical Neural Architecture Search. AutoML 2024 (Workshop Track). OpenReview link. Code link.

Briegel, F., Schrodi, S., Sulzer, M., Brox, T., Christen, A., Pinto, J. G. Downscaling climate projections to map future outdoor thermal comfort in cities based on a deep learning approach. EGU General Assembly 2024. Paper link.

Schrodi, S.*, Hoffmann, D. T.*, Argus, M., Fischer, V., & Brox, T. Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Representation Learning. ME-FoMo @ ICLR 2024. arXiv link, OpenReview link. Oral.

Hoffmann, D. T., Schrodi, S., Behrmann, N., Fischer, V., & Brox, T. Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems. ICML 2024. arXiv link. Earlier version was presented at the ME-FoMo workshop @ ICLR 2024 OpenReview link.

Grazzi, R.*, Siems, J.*, Schrodi, S., Brox, T., & Hutter, F. Is Mamba Capable of In-Context Learning?. AutoML Conference 2024. arXiv link. Earlier version was presented at the ME-FoMo workshop @ ICLR 2024 OpenReview link, code link.

Schrodi, S., Briegel, F., Argus, M., Christen, A., & Brox, T. Climate-sensitive Urban Planning through Optimization of Tree Placements. NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning. arXiv link. Code link. Video link

Schrodi, S., Stoll, D., Ru, B., Sukthanker, R. S., Brox, T., & Hutter, F. Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars. In NeurIPS 2023. arXiv link. OpenReview link. Code link. Video link

Schrodi, S., Saikia, T., & Brox, T. Towards understanding adversarial robustness of optical flow networks. In CVPR 2022. arXiv link. CVF link. Code link. Video link.

Izquierdo, S., Guerrero-Viu, J., Hauns, S., Miotto, G., Schrodi, S., Biedenkapp, A., Elsken, T., Deng, D., Lindauer, M., & Hutter, F. Bag of baselines for multi-objective joint neural architecture search and hyperparameter optimization. In ICML 2021 Workshop: Automated Machine Learning (AutoML). arXiv link. OpenReview link. Code link. Video link

Preprints

Schrodi, S.*, Schur, J.*, Argus, M., & Brox, T. Concept Bottleneck Models Without Predefined Concepts. arXiv 2024. arXiv link.