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71 Publications


2019 | Conference Paper | IST-REx-ID: 14200 | OA
Locatello, Francesco, et al. “Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.” Proceedings of the 36th International Conference on Machine Learning, vol. 97, ML Research Press, 2019, pp. 4114–24.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Conference Paper | IST-REx-ID: 14190 | OA
Gondal, Muhammad Waleed, et al. “On the Transfer of Inductive Bias from Simulation to the Real World: A New Disentanglement Dataset.” Advances in Neural Information Processing Systems, vol. 32, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 | Conference Paper | IST-REx-ID: 14202 | OA
Locatello, Francesco, et al. “Boosting Black Box Variational Inference.” Advances in Neural Information Processing Systems, vol. 31, Neural Information Processing Systems Foundation, 2018.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 | Conference Paper | IST-REx-ID: 14201 | OA
Locatello, Francesco, et al. “Boosting Variational Inference: An Optimization Perspective.” Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, vol. 84, ML Research Press, 2018, pp. 464–72.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 | Conference Paper | IST-REx-ID: 14198 | OA
Fortuin, Vincent, et al. “SOM-VAE: Interpretable Discrete Representation Learning on Time Series.” International Conference on Learning Representations, 2018.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 | Conference Paper | IST-REx-ID: 14203 | OA
Yurtsever, Alp, et al. “A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, ML Research Press, 2018, pp. 5727–36.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 | Conference Paper | IST-REx-ID: 14204 | OA
Locatello, Francesco, et al. “On Matching Pursuit and Coordinate Descent.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, ML Research Press, 2018, pp. 3198–207.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 | Conference Paper | IST-REx-ID: 14224 | OA
Locatello, Francesco, et al. “Clustering Meets Implicit Generative Models.” 6th International Conference on Learning Representations, 2018.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 | Preprint | IST-REx-ID: 14327 | OA
Locatello, Francesco, et al. “Competitive Training of Mixtures of Independent Deep Generative Models.” ArXiv, 1804.11130, doi:10.48550/arXiv.1804.11130.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2017 | Conference Paper | IST-REx-ID: 14206 | OA
Locatello, Francesco, et al. “Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees.” Advances in Neural Information Processing Systems, 2017.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2017 | Conference Paper | IST-REx-ID: 14205 | OA
Locatello, Francesco, et al. “A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe.” Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, vol. 54, ML Research Press, 2017, pp. 860–68.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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