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Marco Fumero

Riccardo Cadei

Francesco Locatello

Berker Demirel

Dingling Yao

Shimeng Huang

Clementine Domine

Adeel Pervez

Walter Nelson

Francesco Montagna

Dario Rancati



87 Publications

2020 | Published | Conference Paper | IST-REx-ID: 14326 | OA
Locatello, Francesco, et al. “Object-Centric Learning with Slot Attention.” 34th International Conference on Neural Information Processing Systems, vol. 33, Neural Information Processing Systems Foundation, 2020, pp. 11525–38.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14184 | OA
Locatello, Francesco, et al. “Disentangling Factors of Variation Using Few Labels.” 8th International Conference on Learning Representations, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14189 | OA
Gresele, Luigi, et al. “The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA.” Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence, vol. 115, ML Research Press, 2019, pp. 217–27.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | 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
 
2019 | Published | Conference Paper | IST-REx-ID: 14191 | OA
Locatello, Francesco, et al. “Stochastic Frank-Wolfe for Composite Convex Minimization.” Advances in Neural Information Processing Systems, vol. 32, 2019, pp. 14291–14301.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14193 | OA
Steenkiste, Sjoerd van, et al. “Are Disentangled Representations Helpful for Abstract Visual Reasoning?” Advances in Neural Information Processing Systems, vol. 32, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 14197 | OA
Locatello, Francesco, et al. “On the Fairness of Disentangled Representations.” Advances in Neural Information Processing Systems, vol. 32, 2019, pp. 14611–14624.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Published | 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
 
2018 | Published | 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 | Published | 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 | Published | 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 | Published | 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 | Published | 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 | Published | 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 | Submitted | 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 | Published | 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
 
2017 | Published | 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
 

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