A content-based digital image watermarking algorithm robust against JPEG compression. - Amir Najafi 002; Ali Siahkoohi; Mohammad B. Shamsollahi (ISSPIT, 2011)

Sum capacity bounds and design of errorless codes for binary asynchronous CDMA systems. - Shayan Dashmiz; S. M. Mansouri; Amir Najafi 002; Farrokh Marvasti (ICT, 2012)

Fundamental Limits of Pooled-DNA Sequencing. - Amir Najafi 002; Damoun Nashta-ali; Abolfazl Seyed Motahari; Mehrdad Khani Shirkoohi; Babak Hossein Khalaj; Hamid R. Rabiee (CoRR, 2016)

Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping. - Amir Najafi 002; Amir Joudaki; Emad Fatemizadeh (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Reliable Learning of Bernoulli Mixture Models. - Amir Najafi 002; Abolfazl S. Motahari; Hamid R. Rabiee (CoRR, 2017)

On Statistical Learning of Simplices: Unmixing Problem Revisited. - Amir Najafi 002; Saeed Ilchi; Amir H. Saberi; Abolfazl S. Motahari; Babak H. Khalaj; Hamid R. Rabiee (CoRR, 2018)

Manifold Mixup: Better Representations by Interpolating Hidden States. - Vikas Verma; Alex Lamb; Christopher Beckham; Amir Najafi 002; Ioannis Mitliagkas; David Lopez-Paz; Yoshua Bengio (ICML, 2019)

Robustness to Adversarial Perturbations in Learning from Incomplete Data. - Amir Najafi 002; Shin-ichi Maeda; Masanori Koyama; Takeru Miyato (NeurIPS, 2019)

Statistical Association Mapping of Population-Structured Genetic Data. - Amir Najafi 002; Sepehr Janghorbani; Seyed Abolfazl Motahari; Emad Fatemizadeh (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Regularizing Recurrent Neural Networks via Sequence Mixup. - Armin Karamzade; Amir Najafi 002; Seyed Abolfazl Motahari (CoRR, 2020)

Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes. - Amir Hossein Saberi; Amir Najafi 002; Seyed Abolfazl Motahari; Babak H. Khalaj (CoRR, 2022)

Out-Of-Domain Unlabeled Data Improves Generalization. - Seyed Amir Hossein Saberi; Amir Najafi 002; Alireza Heidari; Mohammad Hosein Movasaghinia; Abolfazl S. Motahari; Babak H. Khalaj (ICLR, 2024)

Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization. - Amir Hossein Saberi; Amir Najafi 002; Ala Emrani; Amin Behjati; Yasaman Zolfimoselo; Mahdi Shadrooy; Abolfazl S. Motahari; Babak H. Khalaj (CoRR, 2024)

Robust Model Evaluation over Large-scale Federated Networks. - Amir Najafi 002; Samin Mahdizadeh Sani; Farzan Farnia (CoRR, 2024)

Robust Learnability of Sample-Compressible Distributions under Noisy or Adversarial Perturbations. - Arefe Boushehrian; Amir Najafi 002 (CoRR, 2025)

Fundamental Limits of Learning High-dimensional Simplices in Noisy Regimes. - Seyed Amir Hossein Saberi; Amir Najafi 002; Abolfazl S. Motahari; Babak Hossein Khalaj (CoRR, 2025)