Interpretable Online Banking Fraud Detection Based On Hierarchical Attention Mechanism. - Idan Achituve; Sarit Kraus; Jacob Goldberger (MLSP, 2019)

Auxiliary Learning by Implicit Differentiation. - Aviv Navon; Idan Achituve; Haggai Maron; Gal Chechik; Ethan Fetaya (ICLR, 2021)

GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning. - Idan Achituve; Aviv Navon; Yochai Yemini; Gal Chechik; Ethan Fetaya (ICML, 2021)

Personalized Federated Learning With Gaussian Processes. - Idan Achituve; Aviv Shamsian; Aviv Navon; Gal Chechik; Ethan Fetaya (NeurIPS, 2021)

Self-Supervised Learning for Domain Adaptation on Point Clouds. - Idan Achituve; Haggai Maron; Gal Chechik (WACV, 2021)

Multi-Task Learning as a Bargaining Game. - Aviv Navon; Aviv Shamsian; Idan Achituve; Haggai Maron; Kenji Kawaguchi; Gal Chechik; Ethan Fetaya (ICML, 2022)

Functional Ensemble Distillation. - Coby Penso; Idan Achituve; Ethan Fetaya (NeurIPS, 2022)

Equivariant Architectures for Learning in Deep Weight Spaces. - Aviv Navon; Aviv Shamsian; Idan Achituve; Ethan Fetaya; Gal Chechik; Haggai Maron (ICML, 2023)

Guided Deep Kernel Learning. - Idan Achituve; Gal Chechik; Ethan Fetaya (UAI, 2023)

GD-VDM: Generated Depth for better Diffusion-based Video Generation. - Ariel Lapid; Idan Achituve; Lior Bracha; Ethan Fetaya (CoRR, 2023)

Data Augmentations in Deep Weight Spaces. - Aviv Shamsian; David W. Zhang; Aviv Navon; Yan Zhang; Miltiadis Kofinas; Idan Achituve; Riccardo Valperga; Gertjan J. Burghouts; Efstratios Gavves; Cees G. M. Snoek; Ethan Fetaya; Gal Chechik; et al. (CoRR, 2023)

Communication Efficient Distributed Learning Over Wireless Channels. - Idan Achituve; Wenbo Wang 004; Ethan Fetaya; Amir Leshem (IEEE Signal Process. Lett., 2023)

De-confusing Pseudo-labels in Source-Free Domain Adaptation. - Idit Diamant; Amir Rosenfeld; Idan Achituve; Jacob Goldberger; Arnon Netzer (ECCV (79), 2024)

Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning. - Idan Achituve; Idit Diamant; Arnon Netzer; Gal Chechik; Ethan Fetaya (ICML, 2024)

De-Confusing Pseudo-Labels in Source-Free Domain Adaptation. - Idit Diamant; Idan Achituve; Arnon Netzer (CoRR, 2024)

Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors. - Ohad Rahamim; Hilit Segev; Idan Achituve; Yuval Atzmon; Yoni Kasten; Gal Chechik (CoRR, 2024)

Efficient Image Restoration via Latent Consistency Flow Matching. - Elad Cohen; Idan Achituve; Idit Diamant; Arnon Netzer; Hai Victor Habi (CoRR, 2025)

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. - Idan Achituve; Hai Victor Habi; Amir Rosenfeld; Arnon Netzer; Idit Diamant; Ethan Fetaya (CoRR, 2025)

Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes. - Neta Glazer; David Chernin; Idan Achituve; Sharon Gannot; Ethan Fetaya (CoRR, 2025)