Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Zahra Atashgahi
About me
Page not in menu
This is a page not in th emain menu
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Topological insights into sparse neural networks
Published in ECML PKDD 2020, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020
Recommended citation: Liu, S., Van der Lee, T., Yaman, A., Atashgahi, Z., Ferraro, D., Sokar, G., ... & Mocanu, D. C. (2020). Topological insights into sparse neural networks. In Proceedings of European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, Research Track https://arxiv.org/pdf/2006.14085.pdf
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Published in Accepted at NeurIPS 2021, 2021
Recommended citation: Liu, S., Chen, T., Chen, X., Atashgahi, Z., Yin, L., Kou, H., ... & Mocanu, D. C. (2021). Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. arXiv preprint arXiv:2106.10404. https://arxiv.org/pdf/2106.10404.pdf
[Extended Abstract] Unsupervised Online Memory-free Change-point Detection using an Ensemble of LSTM-Autoencoder-based Neural Networks
Published in , 2021
Extended abstract at ACMwomENcourage 2021
Recommended citation: Atashgahi, Z., Mocanu, D. C., Veldhuis, R., & Pechenizkiy, M. Unsupervised Online Memory-free Change-point Detection using an Ensemble of LSTM-Autoencoder-based Neural Networks. https://womencourage.acm.org/2021/wp-content/uploads/2021/07/65_extendedabstract.pdf
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
Published in In Press: Machine Learning (ECML-PKDD 2022 journal track), 2022
Feature selection using sparse neural networks
Recommended citation: Atashgahi, Z., Sokar, G., van der Lee, T., Mocanu, E., Mocanu, D. C., Veldhuis, R., & Pechenizkiy, M. (2022). Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders. Machine Learning, 111(1), 377-414. https://arxiv.org/abs/2012.00560
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Published in International Conference on Learning Representations (ICLR 2022), 2022
Recommended citation: Liu, S., Chen, T., Atashgahi, Z., Chen, X., Sokar, G., Mocanu, E., ... & Mocanu, D. C. (2021). FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. arXiv preprint arXiv:2106.14568. https://arxiv.org/pdf/2106.14568.pdf
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks
Published in Accepted for publication at Machine Learning Journal - ECML PKDD Journal track, 2022
Training highly sparse neural networks
Recommended citation: Atashgahi, Z., Pieterse, J., Liu, S., Mocanu, D. C., Veldhuis, R., & Pechenizkiy, M. (2022). A Brain-inspired Algorithm for Training Highly Sparse Neural Networks. arXiv preprint arXiv:1903.07138. https://arxiv.org/abs/1903.07138
talks
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
Published:
I’ve presented our paper “Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders” at University of Luxembourg at BNAIC/BENELEARN 2021. Find more information here. (paper, code)
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks
Published:
I’ve presented our paper “A Brain-inspired Algorithm for Training Highly Sparse Neural Networks” at Eindhoven University of Technology at ICLR 2022 local event. Find more information here. (paper, code)