Two papers accepted at TMLR

We have two new papers accepted at TMLR:

• Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models, M. Fatima, S. Jung, M. Keuper, Transactions on Machine Learning Research 2025.
• FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization, S. Agnihotri, J. Y. Caspary, L. Schwarz, J. Schmalfuss, A. Bruhn, M. Keuper, Transactions on Machine Learning Research (TMLR) 2025.

Congrats to all co-authors!