| 2026 | WACV | Network-agnostic distortion-robust projections for wide-angle image understanding. | Akshaya Athwale, Ola Ahmad, Jean-Franois Lalonde |
| 2025 | ICRA | Promi: an Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations. | Florent Chiaroni, Ali Ayub, Ola Ahmad |
| 2025 | WACV | DarSwin-Unet: Distortion Aware Architecture. | Akshaya Athwale, Ichrak Shili, mile Bergeron, Ola Ahmad, Jean-Franois Lalonde |
| 2024 | ICML | Randomized Confidence Bounds for Stochastic Partial Monitoring. | Maxime Heuillet, Ola Ahmad, Audrey Durand |
| 2024 | QCE | QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting. | Abdallah Aaraba, Soumaya Cherkaoui, Ola Ahmad, Jean Frdric Laprade, Olivier Nahman-Lvesque, Alexis Vieloszynski, Shengrui Wang |
| 2024 | WACV | Causal Analysis for Robust Interpretability of Neural Networks. | Ola Ahmad, Nicolas Breux, Loc Baret, Vahid Hashemi, Freddy Lcu |
| 2024 | WACV | MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. | Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz |
| 2024 | UAI | Neural Active Learning Meets the Partial Monitoring Framework. | Maxime Heuillet, Ola Ahmad, Audrey Durand |
| 2023 | AAAI | Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract). | Arnaud Gardille, Ola Ahmad |
| 2023 | ICCV | DarSwin: Distortion Aware Radial Swin Transformer. | Akshaya Athwale, Arman Afrasiyabi, Justin Lage, Ichrak Shili, Ola Ahmad, Jean-Franois Lalonde |
| 2022 | AAAI | FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition. | Ola Ahmad, Freddy Lcu |
| 2016 | MICCAI | Longitudinal Scoliotic Trunk Analysis via Spectral Representation and Statistical Analysis. | Ola Ahmad, Herve Lombaert, Stefan Parent, Hubert Labelle, Jean Dansereau, Farida Cheriet |
| 2015 | ICIP | Spatio-spectral Gaussian random field modeling approach for target detection on hyperspectral data obtained in very low SNR. | Ola Ahmad, Christophe Collet, Fabien Salzenstein |