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Babak Esmaeili
Babak Esmaeili
Eindhoven University of Technology (TU/e)
Verified email at tue.nl - Homepage
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Cited by
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Structured disentangled representations
B Esmaeili, H Wu, S Jain, A Bozkurt, N Siddharth, B Paige, DH Brooks, ...
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
188*2019
Nested variational inference
H Zimmermann, H Wu, B Esmaeili, JW van de Meent
Advances in Neural Information Processing Systems 34, 20423-20435, 2021
212021
Structured neural topic models for reviews
B Esmaeili, H Huang, B Wallace, JW van de Meent
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
16*2019
Rate-regularization and generalization in variational autoencoders
A Bozkurt, B Esmaeili, JB Tristan, D Brooks, J Dy, JW van de Meent
International Conference on Artificial Intelligence and Statistics, 3880-3888, 2021
14*2021
Conjugate energy-based models
H Wu, B Esmaeili, M Wick, JB Tristan, JW Van De Meent
International Conference on Machine Learning, 11228-11239, 2021
72021
Can VAEs Generate Novel Examples?
A Bozkurt, B Esmaeili, DH Brooks, JG Dy, JW van de Meent
arXiv preprint arXiv:1812.09624, 2018
52018
Rate-regularization and generalization in VAEs
A Bozkurt, B Esmaeili, JB Tristan, DH Brooks, JG Dy, JW van de Meent
arXiv preprint arXiv:1911.04594, 2019
32019
Variational Stochastic Gradient Descent for Deep Neural Networks
H Chen, A Kuzina, B Esmaeili, JM Tomczak
arXiv preprint arXiv:2404.06549, 2024
2024
Topological Obstructions and How to Avoid Them
B Esmaeili, R Walters, H Zimmermann, JW van de Meent
Advances in Neural Information Processing Systems 36, 2024
2024
Learning useful representations with variational autoencoders
B Esmaeili
2024
Understanding Optimization Challenges when Encoding to Geometric Structures
B Esmaeili, R Walters, H Zimmermann, JW van de Meent
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
2022
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Articles 1–11