Coordination of multi-agent leader-follower system with time-varying objective function. - Zalan Fabian; Se Young Yoon (CDC, 2016)

Coordination of balanced leader-follower swarms with time-varying social potential functions. - Zalan Fabian; Se Young Yoon (CDC, 2017)

Generalization, Adaptation and Low-Rank Representation in Neural Networks. - Samet Oymak; Zalan Fabian; Mingchen Li; Mahdi Soltanolkotabi (ACSSC, 2019)

Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian. - Samet Oymak; Zalan Fabian; Mingchen Li; Mahdi Soltanolkotabi (CoRR, 2019)

3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow. - Zalan Fabian; Justin P. Haldar; Richard M. Leahy; Mahdi Soltanolkotabi (EUSIPCO, 2020)

Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. - Seyed Mohammadreza Mousavi Kalan; Zalan Fabian; Salman Avestimehr; Mahdi Soltanolkotabi (NeurIPS, 2020)

Data augmentation for deep learning based accelerated MRI reconstruction with limited data. - Zalan Fabian; Reinhard Heckel; Mahdi Soltanolkotabi (ICML, 2021)

HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI Reconstruction. - Zalan Fabian; Berk Tinaz; Mahdi Soltanolkotabi (NeurIPS, 2022)

HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction. - Zalan Fabian; Mahdi Soltanolkotabi (CoRR, 2022)

A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks. - Sara Babakniya; Zalan Fabian; Chaoyang He 001; Mahdi Soltanolkotabi; Salman Avestimehr (NeurIPS, 2023)

Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory. - Sara Babakniya; Zalan Fabian; Chaoyang He 001; Mahdi Soltanolkotabi; Salman Avestimehr (CoRR, 2023)

Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images. - Zalan Fabian; Zhongqi Miao; Chunyuan Li; Yuanhan Zhang; Ziwei Liu 002; Andrés Hernández; Andrés Montes-Rojas; Rafael Escucha; Laura Siabatto; Andrés Link; Pablo Arbeláez; Rahul Dodhia; et al. (CoRR, 2023)

mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization. - Yue Niu; Zalan Fabian; Sunwoo Lee 001; Mahdi Soltanolkotabi; Salman Avestimehr (Trans. Mach. Learn. Res., 2023)

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models. - Zalan Fabian; Berk Tinaz; Mahdi Soltanolkotabi (ICML, 2024)

DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency. - Zalan Fabian; Berk Tinaz; Mahdi Soltanolkotabi (ICML, 2024)

Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models. - Mohammad Shahab Sepehri; Zalan Fabian; Mahdi Soltanolkotabi (CoRR, 2024)

HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models. - Erum Mushtaq; Zalan Fabian; Yavuz Faruk Bakman; Anil Ramakrishna; Mahdi Soltanolkotabi; Salman Avestimehr (CVPR Workshops, 2025)

MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models. - Mohammad Shahab Sepehri; Zalan Fabian; Maryam Soltanolkotabi; Mahdi Soltanolkotabi (ICLR, 2025)

Emergence and Evolution of Interpretable Concepts in Diffusion Models. - Berk Tinaz; Zalan Fabian; Mahdi Soltanolkotabi (CoRR, 2025)

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization. - Haosheng Gan; Berk Tinaz; Mohammad Shahab Sepehri; Zalan Fabian; Mahdi Soltanolkotabi (CoRR, 2025)

Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs. - Mohammad Shahab Sepehri; Berk Tinaz; Zalan Fabian; Mahdi Soltanolkotabi (CoRR, 2025)