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Simon Schrodi
Simon Schrodi
PhD student, University of Freiburg
Bestätigte E-Mail-Adresse bei cs.uni-freiburg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Bag of baselines for multi-objective joint neural architecture search and hyperparameter optimization
S Izquierdo, J Guerrero-Viu, S Hauns, G Miotto, S Schrodi, A Biedenkapp, ...
8th ICML Workshop on Automated Machine Learning (AutoML), 2021
29*2021
Towards understanding adversarial robustness of optical flow networks
S Schrodi, T Saikia, T Brox
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
19*2022
Is mamba capable of in-context learning?
R Grazzi, J Siems, S Schrodi, T Brox, F Hutter
arXiv preprint arXiv:2402.03170, 2024
122024
Construction of hierarchical neural architecture search spaces based on context-free grammars
S Schrodi, D Stoll, B Ru, R Sukthanker, T Brox, F Hutter
Advances in Neural Information Processing Systems 36, 2024
9*2024
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
DT Hoffmann, S Schrodi, N Behrmann, V Fischer, T Brox
arXiv preprint arXiv:2310.12956, 2023
32023
Latent Diffusion Counterfactual Explanations
K Farid, S Schrodi, M Argus, T Brox
arXiv preprint arXiv:2310.06668, 2023
32023
Concept Bottleneck Models Without Predefined Concepts
S Schrodi, J Schur, M Argus, T Brox
arXiv preprint arXiv:2407.03921, 2024
2024
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Representation Learning
S Schrodi, DT Hoffmann, M Argus, V Fischer, T Brox
arXiv preprint arXiv:2404.07983, 2024
2024
Downscaling climate projections to map future outdoor thermal comfort in cities based on a deep learning approach
F Briegel, S Schrodi, M Sulzer, T Brox, A Christen, JG Pinto
EGU24, 2024
2024
Climate-sensitive Urban Planning through Optimization of Tree Placements
S Schrodi, F Briegel, M Argus, A Christen, T Brox
arXiv preprint arXiv:2310.05691, 2023
2023
Method and device for determining an optimal architecture of a neural network
D Stoll, F Hutter, S Schrodi
US Patent App. 18/184,379, 2023
2023
Latent Diffusion Counterfactual Explanations
S Schrodi, K Farid, M Argus, T Brox
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