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Results: 6
Number of items: 6
  • Open Access
    Pervez, A., Lippe, P., & Gavves, E. (2023). Scalable Subset Sampling with Neural Conditional Poisson Networks. In The Eleventh International Conference on Learning Representations: ICLR 2023 https://openreview.net/forum?id=p8hMBcPtvju
  • Open Access
    Pervez, A. A. (2023). Structural constraints in neural network representations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Pervez, A., Lippe, P., & Gavves, E. (2023). Differentiable Mathematical Programming for Object-Centric Representation Learning. In The Eleventh International Conference on Learning Representations: ICLR 2023 https://openreview.net/forum?id=1J-ZTr7aypY
  • Open Access
    Pervez, A., & Gavves, E. (2022). Stability Regularization for Discrete Representation Learning. In The Tenth International Conference on Learning Representations: ICLR 2022 https://openreview.net/forum?id=6tmjoym9LR6
  • Open Access
    Pervez, A., & Gavves, E. (2021). Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders. Proceedings of Machine Learning Research, 139, 8536-8545. https://proceedings.mlr.press/v139/pervez21a.html
  • Open Access
    Pervez, A., Cohen, T., & Gavves, E. (2020). Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks. Proceedings of Machine Learning Research, 119, 7632-7640. http://proceedings.mlr.press/v119/pervez20a.html
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