Injecting Knowledge in Data-driven Vehicle Trajectory Predictors. - Mohammadhossein Bahari; Ismail Nejjar; Alexandre Alahi (CoRR, 2021)

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning. - Ismail Nejjar; Jean Meunier-Pion; Gaëtan Frusque; Olga Fink (DCASE, 2022)

DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices. - Ismail Nejjar; Qin Wang 013; Olga Fink (CVPR, 2023)

SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization. - Hao Dong 011; Ismail Nejjar; Han Sun; Eleni N. Chatzi; Olga Fink (NeurIPS, 2023)

Semi-Supervised Health Index Monitoring with Feature Generation and Fusion. - Gaëtan Frusque; Ismail Nejjar; Majid Nabavi; Olga Fink (CoRR, 2023)

Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression. - Ismail Nejjar; Gaëtan Frusque; Florent Forest; Olga Fink (CoRR, 2024)

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion. - Keivan Faghih Niresi; Ismail Nejjar; Olga Fink (CoRR, 2024)

IM-Context: In-Context Learning for Imbalanced Regression Tasks. - Ismail Nejjar; Faez Ahmed; Olga Fink (Trans. Mach. Learn. Res., 2024)

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction. - Ismail Nejjar; Fabian Geissmann; Mengjie Zhao; Cees Taal; Olga Fink (Reliab. Eng. Syst. Saf., 2024)

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation. - Han Sun; Rui Gong; Ismail Nejjar; Olga Fink (ICLR, 2025)

Recall and Refine: A Simple but Effective Source-free Open- set Domain Adaptation Framework. - Ismail Nejjar; Hao Dong 011; Olga Fink (Trans. Mach. Learn. Res., 2025)