Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. - Ali Abbasi 008; Parsa Nooralinejad; Vladimir Braverman; Hamed Pirsiavash; Soheil Kolouri (CoLLAs, 2022)

PRANC: Pseudo RAndom Networks for Compacting deep models. - Parsa Nooralinejad; Ali Abbasi 008; Soheil Kolouri; Hamed Pirsiavash (CoRR, 2022)

PRANC: Pseudo RAndom Networks for Compacting deep models. - Parsa Nooralinejad; Ali Abbasi 008; Soroush Abbasi Koohpayegani; Kossar Pourahmadi Meibodi; Rana Muhammad Shahroz Khan; Soheil Kolouri; Hamed Pirsiavash (ICCV, 2023)

CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation. - Ali Abbasi 008; Chayne Thrash; Elaheh Akbari; Daniel Zhang; Soheil Kolouri (CoRR, 2023)

Multi-Agent Lifelong Implicit Neural Learning. - Soheil Kolouri; Ali Abbasi 008; Soroush Abbasi Koohpayegani; Parsa Nooralinejad; Hamed Pirsiavash (IEEE Signal Process. Lett., 2023)

BrainWash: A Poisoning Attack to Forget in Continual Learning. - Ali Abbasi 008; Parsa Nooralinejad; Hamed Pirsiavash; Soheil Kolouri (CVPR, 2024)

Dynamic Online Modulation Recognition using Incremental Learning. - Ali Owfi; Ali Abbasi 008; Fatemeh Afghah; Jonathan D. Ashdown; Kurt A. Turck (ICNC, 2024)

Teaching Networks to Solve Optimization Problems. - Xinran Liu; Yuzhe Lu; Ali Abbasi 008; Meiyi Li; Javad Mohammadi; Soheil Kolouri (IEEE Access, 2024)

One Category One Prompt: Dataset Distillation using Diffusion Models. - Ali Abbasi 008; Ashkan Shahbazi; Hamed Pirsiavash; Soheil Kolouri (CoRR, 2024)

MCNC: Manifold Constrained Network Compression. - Chayne Thrash; Ali Abbasi 008; Parsa Nooralinejad; Soroush Abbasi Koohpayegani; Reed Andreas; Hamed Pirsiavash; Soheil Kolouri (CoRR, 2024)

Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. - Chenyang An; Shima Imani; Feng Yao; Chengyu Dong; Ali Abbasi 008; Harsh Shrivastava 001; Samuel Buss; Jingbo Shang; Gayathri Mahalingam; Pramod Sharma; Maurice Diesendruck (CoRR, 2024)

Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation. - Ali Abbasi 008; Shima Imani; Chenyang An; Gayathri Mahalingam; Harsh Shrivastava 001; Maurice Diesendruck; Hamed Pirsiavash; Pramod Sharma; Soheil Kolouri (CoRR, 2024)

MCNC: Manifold-Constrained Reparameterization for Neural Compression. - Chayne Thrash; Reed Andreas; Ali Abbasi 008; Parsa Nooralinejad; Soroush Abbasi Koohpayegani; Hamed Pirsiavash; Soheil Kolouri (ICLR, 2025)