Simon Schrodi

Simon Schrodi

PhD student at the University of Freiburg

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. Since reproducibility and open science are important to me all of my first-author publications have code available.

Peer-reviewed articles

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. Also appeared 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. Also appeared 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.

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.

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.

Preprints

Farid, K.*, Schrodi, S.*, Argus, M., & Brox, T. Latent Diffusion Counterfactual Explanations. arXiv 2023. arXiv link. Code link.