Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
Recommended citation: I. Matos, A. Saoud, E. Iakovleva, V. Pastore and E. Tartaglione. "Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models." In CVPR'26.
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Published in IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
Recommended citation: N. Roos, E. Iakovleva, A. Gjergji, V. Pastore and E. Tartaglione. "How I Met Your Bias: Investigating Bias Amplification in Diffusion Models." In WACV'26.
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Published in British Machine Vision Conference, 2025
Recommended citation: E. Iakovleva, F. Pizzati, P. Torr and S. Lathuilière. "Specify and Edit: Overcoming Ambiguity in Text-Based Image Editing." In BMVC'25.
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Published in International Conference on Machine Learning, 2020
Recommended citation: E. Iakovleva, J. Verbeek and K. Alahari. "Meta-Learning with Shared Amortized Variational Inference." In ICML'20.
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Published in arXiv, 2023
Recommended citation: E. Iakovleva, K. Alahari and J. Verbeek. "Multi-Domain Learning with Modulation Adapters." In arXiv:2307.08528'23.
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Published in MSc Thesis at Grenoble INP, 2018
Recommended citation: E. Iakovleva. "Exploring Generative Image Modeling with Block PixelCNNs." MSc Thesis at Grenoble INP, 2018.
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Published in MSc Thesis at Skoltech, 2017
Recommended citation: E. Iakovleva. "Multimodal Distributions in Variational Autoencoders." MSc Thesis at Skoltech, 2017.
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