Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization. - Shir Gur; Ameen Ali; Lior Wolf (AAAI, 2021)

Intersection Regularization for Extracting Semantic Attributes. - Ameen Ali; Tomer Galanti; Evgeniy Zheltonozhskiy; Chaim Baskin; Lior Wolf (CoRR, 2021)

Explainability Guided Multi-Site COVID-19 CT Classification. - Ameen Ali; Tal Shaharabany; Lior Wolf (CoRR, 2021)

Weakly Supervised Discovery of Semantic Attributes. - Ameen Ali; Tomer Galanti; Evgenii Zheltonozhskii; Chaim Baskin; Lior Wolf (CLeaR, 2022)

XAI for Transformers: Better Explanations through Conservative Propagation. - Ameen Ali; Thomas Schnake; Oliver Eberle; Grégoire Montavon; Klaus-Robert Müller; Lior Wolf (ICML, 2022)

Explainability Guided COVID-19 Detection in CT Scans. - Ameen Ali; Tal Shaharabany; Lior Wolf (MIDL, 2022)

Video and Text Matching with Conditioned Embeddings. - Ameen Ali; Idan Schwartz; Tamir Hazan; Lior Wolf (WACV, 2022)

Degree-based stratification of nodes in Graph Neural Networks. - Ameen Ali; Lior Wolf; Hakan Cevikalp (ACML, 2023)

A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models. - Itamar Zimerman; Ameen Ali; Lior Wolf (CoRR, 2024)

Mitigating Copy Bias in In-Context Learning through Neuron Pruning. - Ameen Ali; Lior Wolf; Ivan Titov (CoRR, 2024)

The Hidden Attention of Mamba Models. - Ameen Ali; Itamar Zimerman; Lior Wolf (ACL (1), 2025)

Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation. - Itamar Zimerman; Ameen Ali; Lior Wolf (ICLR, 2025)

Centered Self-attention Layers. - Ameen Ali; Tomer Galanti; Lior Wolf (SCIA (1), 2025)

Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models. - Ameen Ali; Shahar Katz; Lior Wolf; Ivan Titov (CoRR, 2025)