Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. - Hedda Cohen Indelman; Tamir Hazan (ICML, 2021)

Learning Constrained Structured Spaces with Application to Multi-Graph Matching. - Hedda Cohen Indelman; Tamir Hazan (AISTATS, 2023)

Learning Latent Partial Matchings with Gumbel-IPF Networks. - Hedda Cohen Indelman; Tamir Hazan (AISTATS, 2024)

InDi: Informative and Diverse Sampling for Dense Retrieval. - Nachshon Cohen; Hedda Cohen Indelman; Yaron Fairstein; Guy Kushilevitz (ECIR (3), 2024)

Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models. - Hedda Cohen Indelman; Elay Dahan; Angeles M. Perez-Agosto; Carmit Shiran; Doron Shaked; Nati Daniel (EMBC, 2024)

On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions. - Hedda Cohen Indelman; Tamir Hazan (CoRR, 2024)

CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation. - Elay Dahan; Hedda Cohen Indelman; Angeles M. Perez-Agosto; Carmit Shiran; Gopal Avinash; Doron Shaked; Nati Daniel (CoRR, 2024)