Zalan Fabian

According to our database1, Zalan Fabian authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2016
2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models.
CoRR, 2024

Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models.
CoRR, 2024

DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization.
Trans. Mach. Learn. Res., 2023

Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images.
CoRR, 2023

Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory.
CoRR, 2023

A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction.
CoRR, 2022

HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Data augmentation for deep learning based accelerated MRI reconstruction with limited data.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian.
CoRR, 2019

Generalization, Adaptation and Low-Rank Representation in Neural Networks.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2017
Coordination of balanced leader-follower swarms with time-varying social potential functions.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Coordination of multi-agent leader-follower system with time-varying objective function.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016


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