Navve Wasserman

I'm a PhD student at the Weizmann Institute of Science in the Department of Computer Science, advised by Michal Irani. I am currently based in Boston, continuing my PhD and working on machine-learning interpretability with a focus on brain interpretability, in collaboration with Tamar Rott Shaham and Antonio Torralba from MIT.

My research focuses on machine learning, computer vision, and computational neuroscience, with an emphasis on multimodal models. On the image–text side, I work on tasks such as image editing and multimodal retrieval. On the vision–brain side, I develop models and tools for modeling, exploring, and interpreting the human visual system from brain activity.

Email / Scholar / LinkedIn

Publications

	BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain Navve Wasserman, Matias Cosarinsky, Yuval Golbari, Aude Oliva, Antonio Torralba, Tamar Rott Shaham, Michal Irani arXiv Project Page / Paper / Demo
	Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer Roman Beliy, Amit Zalcher, Jonathan Kogman, Navve Wasserman, Michal Irani ICLR , 2026 Project Page / Paper
	Functional Brain-to-Brain Transformation without shared stimuli Navve Wasserman, Roman Beliy, Roy Urbach, Michal Irani NeuroImage, 2026 Paper
	ImpMIA: Leveraging Implicit Bias for Membership Inference under Realistic Scenarios Yuval Golbari, Navve Wasserman, Gal Vardi, Michal Irani arXiv, 2025 Project Page / Paper
	DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers Navve Wasserman, Oliver Heinimann, Yuval Golbari, Tal Zimbalist, Eli Schwartz, Michal Irani EMNLP, 2025 Project Page / Paper
	REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark Navve Wasserman, Roi Pony, Oshri Naparstek , Adi Raz Goldfarb, Eli Schwartz, Udi Barzelay, Leonid Karlinsky ACL, 2025 Project Page / Paper / Benchmark
	Don't Judge Before You CLIP: A Unified Approach for Perceptual Tasks Amit Zalcher* , Navve Wasserman, Roman Beliy, Oliver Heinimann, Michal Irani TMLR*, 2025 Project Page / Paper / Models / Demo
	Paint by Inpaint: Learning to Add Image Objects by Removing Them First Navve Wasserman, Noam Rotstein, Roy Ganz , Ron Kimmel CVPR, 2025 Project Page / Paper / Code / Dataset / Video
	The Wisdom of a Crowd of Brains: A Universal Brain Encoder Roman Beliy, Navve Wasserman, Amit Zalcher* , Michal Irani arXiv Paper

Template based on Jon Barron's website.