Publications

Grigory Malinovsky, Umberto Michieli, Hasan Abed Al Kader Hammoud, Taha Ceritli, Hayder Elesedy, Mete Ozay, Peter Richtárik (2024). Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation. Featured Theory.

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Hasan Abed Al Kader Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay (2024). Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. EMNLP 2024.

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Hasan Abed Al Kader Hammoud, Shuming Liu, Mohammed Alkhrashi, Fahad Albalawi, Bernard Ghanem (2024). Look Listen and Attack: Backdoor Attacks Against Video Action Recognition. CVPRW 2024.

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Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem (2024). Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. ICML 2024.

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Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem (2024). On Pretraining Data Diversity for Self-Supervised Learning. ECCV 2024.

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Hasan Abed Al Kader Hammoud, Hani Itani, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem (2024). SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?. SynthCLIP.

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Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem (2023). CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society. In NeurIPS23.

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Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem (2023). Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?. in ICCV23.

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Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piękos, Aditya Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanić, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber (2023). Mindstorms in Natural Language-Based Societies of Mind. Arxiv.

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Hasan Abed Al Kader Hammoud, Adel Bibi, Philip H.S. Torr, Bernard Ghanem (2023). Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. In CVPRW23.

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Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem (2023). Real-Time Evaluation in Online Continual Learning: A New Hope. Highlight in CVPR23.

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Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem (2023). Generalizability of Adversarial Robustness Under Distribution Shifts. Featured Certification.

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Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet Dokania, Philip H.S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi (2023). Computationally Budgeted Continual Learning: What Does Matter?. In CVPR23.

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Suliman Abdelwahid, Mohammad Rafi Malik, Hasan Abed Al Kader Hammoud, Francisco E. Hernandez Perez, Bernard Ghanem, Hong Im (2023). Large eddy simulations of NH3-H2 jet flame at elevated pressure using PCA with inclusion of NH3/H2 ratio variation. In AIAA SCITECH 2023 Forum.

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Suliman Abdelwahid, Mohammad Rafi Malik, Hasan Abed Al Kader Hammoud, Francisco E. Hernandez Perez, Bernard Ghanem, Hong Im (2023). Large eddy simulations of ammonia-hydrogen jet flames at elevated pressure using principal component analysis and deep neural networks. In AIAA SCITECH 2023 Forum.

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Motasem Alfarra, Adel Bibi, Hasan Abed Al Kader Hammoud, Mohamed Gaafar, Bernard Ghanem (2022). On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective. In PAMI22.

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Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Abed Al Kader Hammoud, Mohamed Elhoseiny, Bernard Ghanem (2022). PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies. in NeurIPS22.

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Hasan Abed Al Kader Hammoud, Bernard Ghanem (2022). Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain. In BMVC2022.

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Guocheng Qian, Hasan Abed Al Kader Hammoud, Guohao Li, Ali Thabet, Bernard Ghanem (2021). ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning. in NeurIPS21.

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