Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 913 | 2016 |

Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ... arXiv preprint arXiv:1605.02688, 2016 | 197 | 2016 |

Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016 | 41 | 2016 |

Variational bi-lstms S Shabanian, D Arpit, A Trischler, Y Bengio arXiv preprint arXiv:1711.05717, 2017 | 38 | 2017 |

Harm de Vries, David Warde-Farley, Dustin J R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, and …, 2016 | 30 | 2016 |

Bidirectional helmholtz machines J Bornschein, S Shabanian, A Fischer, Y Bengio International Conference on Machine Learning, 2511-2519, 2016 | 28 | 2016 |

On the learning dynamics of deep neural networks R Tachet, M Pezeshki, S Shabanian, A Courville, Y Bengio arXiv preprint arXiv:1809.06848, 2018 | 26 | 2018 |

Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688 R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... URL http://arxiv. org/abs/1605.02688, 2016 | 26 | 2016 |

Benchmarking bias mitigation algorithms in representation learning through fairness metrics C Reddy | 20 | 2022 |

A minimax inequality and its applications to fixed point theorems in CAT (0) spaces S Shabanian, SM Vaezpour Fixed Point Theory and Applications 2011 (1), 1-9, 2011 | 15 | 2011 |

Operators Defined on *n*-Modular SpacesK Nourouzi, S Shabanian Mediterranean journal of mathematics 6, 431-446, 2009 | 15 | 2009 |

Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688, May 2016 R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... URL http://arxiv. org/abs/1605.02688. Project URL http://github. com/Theano …, 2016 | 11 | 2016 |

On the learning dynamics of deep neural networks RT Combes, M Pezeshki, S Shabanian, A Courville, Y Bengio arXiv preprint arXiv:1809.06848, 2018 | 7 | 2018 |

Learning to limit data collection via scaling laws: A computational interpretation for the legal principle of data minimization D Shanmugam, F Diaz, S Shabanian, M Finck, A Biega Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 6 | 2022 |

The KKM theorem in modular spaces and applications to minimax inequalities S Shabanian, SM Vaezpour Bulletin of the Malaysian Mathematical Sciences Society 39, 921-931, 2016 | 6 | 2016 |

On solution and stability of a two-variable functional equations YJ Cho, R Saadati, S Shabanian, SM Vaezpour Discrete Dynamics in Nature and Society 2011, 2011 | 4 | 2011 |

Training opposing directed models using geometric mean matching J Bornschein, S Shabanian, A Fischer, Y Bengio CoRR, abs/1506.03877, 2015 | 3 | 2015 |

Deep learning on a healthy data diet: Finding important examples for fairness A Zayed, P Parthasarathi, G Mordido, H Palangi, S Shabanian, S Chandar Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14593 …, 2023 | 2 | 2023 |

Convexity and boundedness relaxation for fixed point theorems in modular spaces F Lael, S Shabanian Applied General Topology 22 (1), 91-108, 2021 | 2 | 2021 |

Convergence properties of deep neural networks on separable data RT des Combes, M Pezeshki, S Shabanian, A Courville, Y Bengio | 2 | 2018 |