Zahra Atashgahi

According to our database, Zahra Atashgahi authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Sparsity Level During Training for Efficient Time Series Forecasting with Transformers.

Zahra Atashgahi, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Unveiling the Power of Sparse Neural Networks for Feature Selection.

Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks.

Kaiting Liu, Zahra Atashgahi, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks.

Zahra Atashgahi, Xuhao Zhang, Neil Kichler, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu

Trans. Mach. Learn. Res., 2023

Cost-effective Artificial Neural Networks.

Zahra Atashgahi

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.

Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy

Mach. Learn., 2022

A brain-inspired algorithm for training highly sparse neural networks.

Zahra Atashgahi, Joost Pieterse, Shiwei Liu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy

Mach. Learn., 2022

Memory-free Online Change-point Detection: A Novel Neural Network Approach.

Zahra Atashgahi, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy

CoRR, 2022

Where to Pay Attention in Sparse Training for Feature Selection?

Ghada Sokar, Zahra Atashgahi, Mykola Pechenizkiy, Decebal Constantin Mocanu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.

Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.

Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

CoRR, 2021

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.

Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Topological Insights in Sparse Neural Networks.

Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu

CoRR, 2020

Topological Insights into Sparse Neural Networks.

Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020