SinFusion: Training Diffusion Models on a Single Image or Video. - Yaniv Nikankin; Niv Haim; Michal Irani (ICML, 2023)

Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses. - Gon Buzaglo; Niv Haim; Gilad Yehudai; Gal Vardi; Yakir Oz; Yaniv Nikankin; Michal Irani (NeurIPS, 2023)

Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics. - Yaniv Nikankin; Anja Reusch; Aaron Mueller; Yonatan Belinkov (ICLR, 2025)

MIB: A Mechanistic Interpretability Benchmark. - Aaron Mueller; Atticus Geiger; Sarah Wiegreffe; Dana Arad; Iván Arcuschin; Adam Belfki; Yik Siu Chan; Jaden Fiotto-Kaufman; Tal Haklay; Michael Hanna 001; Jing Huang; Rohan Gupta; et al. (CoRR, 2025)

Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs. - Yaniv Nikankin; Dana Arad; Yossi Gandelsman; Yonatan Belinkov (CoRR, 2025)