To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing? - Avi Cooper; Xavier Boix; Daniel Harari; Spandan Madan; Hanspeter Pfister; Tomotake Sasaki; Pawan Sinha (CoRR, 2021)

Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization. - Ravi Francesco Srinivasan; Francesca Mignacco; Martino Sorbaro 001; Maria Refinetti; Avi Cooper; Gabriel Kreiman; Giorgia Dellaferrera (ICLR, 2024)

Rethinking VLMs and LLMs for Image Classification. - Avi Cooper; Keizo Kato; Chia-Hsien Shih; Hiroaki Yamane; Kasper Vinken; Kentaro Takemoto; Taro Sunagawa; Hao-Wei Yeh; Jin Yamanaka; Ian Mason; Xavier Boix (CoRR, 2024)

Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations. - Avi Cooper; Daniel Harari; Tomotake Sasaki; Spandan Madan; Hanspeter Pfister; Pawan Sinha; Xavier Boix (Trans. Mach. Learn. Res., 2025)

Merge to Mix: Mixing Datasets via Model Merging. - Zhixu Silvia Tao; Kasper Vinken; Hao-Wei Yeh; Avi Cooper; Xavier Boix (CoRR, 2025)