11 citations · 16 across the 6 of their papers we have counts for
6 papers
LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural Counterfactuals
Gilat Toker, Nitay Calderon, Ohad Amosy +1
Concept-based explanations quantify how high-level concepts (e.g., gender or experience) influence model behavior, which is crucial for decision-makers in high-stakes domains. Rece…
Text2Model: Text-based Model Induction for Zero-shot Image Classification
Ohad Amosy, Tomer Volk, Eilam Shapira +3
We address the challenge of building task-agnostic classifiers using only text descriptions, demonstrating a unified approach to image classification, 3D point cloud classification…
Iterative-Free Quantum Approximate Optimization Algorithm Using Neural Networks
Ohad Amosy, Tamuz Danzig, Ely Porat +2
The quantum approximate optimization algorithm (QAOA) is a leading iterative variational quantum algorithm for heuristically solving combinatorial optimization problems. A large po…
Example-based Hypernetworks for Out-of-Distribution Generalization
Tomer Volk, Eyal Ben-David, Ohad Amosy +2
As Natural Language Processing (NLP) algorithms continually achieve new milestones, out-of-distribution generalization remains a significant challenge. This paper addresses the iss…
On-Demand Unlabeled Personalized Federated Learning
Ohad Amosy, Gal Eyal, Gal Chechik
In Federated Learning (FL), multiple clients collaborate to learn a shared model through a central server while keeping data decentralized. Personalized Federated Learning (PFL) fu…
Teacher-Student Consistency For Multi-Source Domain Adaptation
Ohad Amosy, Gal Chechik
In Multi-Source Domain Adaptation (MSDA), models are trained on samples from multiple source domains and used for inference on a different, target, domain. Mainstream domain adapta…