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71 Publications
2020 | Conference Paper | IST-REx-ID: 14186 | 
Locatello, Francesco, et al. “A Commentary on the Unsupervised Learning of Disentangled Representations.” The 34th AAAI Conference on Artificial Intelligence, vol. 34, no. 9, Association for the Advancement of Artificial Intelligence, 2020, pp. 13681–84, doi:10.1609/aaai.v34i09.7120.
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2020 | Conference Paper | IST-REx-ID: 14188 |
Locatello, Francesco, et al. “Weakly-Supervised Disentanglement without Compromises.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, 2020, pp. 6348–6359.
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2020 | Conference Paper | IST-REx-ID: 14187 |
Négiar, Geoffrey, et al. “Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, 2020, pp. 7253–62.
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2020 | Journal Article | IST-REx-ID: 14195 |
Locatello, Francesco, et al. “A Sober Look at the Unsupervised Learning of Disentangled Representations and Their Evaluation.” Journal of Machine Learning Research, vol. 21, 209, MIT Press, 2020.
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2020 | Conference Paper | IST-REx-ID: 14326 |
Locatello, Francesco, et al. “Object-Centric Learning with Slot Attention.” Advances in Neural Information Processing Systems, vol. 33, Curran Associates, 2020, pp. 11525–38.
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2019 | Conference Paper | IST-REx-ID: 14184 |
Locatello, Francesco, et al. “Disentangling Factors of Variation Using Few Labels.” 8th International Conference on Learning Representations, 2019.
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2019 | Conference Paper | IST-REx-ID: 14189 |
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.
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2019 | Conference Paper | IST-REx-ID: 14197 |
Locatello, Francesco, et al. “On the Fairness of Disentangled Representations.” Advances in Neural Information Processing Systems, vol. 32, 2019, pp. 14611–14624.
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2019 | Conference Paper | IST-REx-ID: 14191 |
Locatello, Francesco, et al. “Stochastic Frank-Wolfe for Composite Convex Minimization.” Advances in Neural Information Processing Systems, vol. 32, 2019, pp. 14291–14301.
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2019 | Conference Paper | IST-REx-ID: 14193 |
Steenkiste, Sjoerd van, et al. “Are Disentangled Representations Helpful for Abstract Visual Reasoning?” Advances in Neural Information Processing Systems, vol. 32, 2019.
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2019 | Conference Paper | IST-REx-ID: 14200 |
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.
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2019 | Conference Paper | IST-REx-ID: 14190 |
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.
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2018 | Conference Paper | IST-REx-ID: 14202 |
Locatello, Francesco, et al. “Boosting Black Box Variational Inference.” Advances in Neural Information Processing Systems, vol. 31, Neural Information Processing Systems Foundation, 2018.
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2018 | Conference Paper | IST-REx-ID: 14201 |
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.
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2018 | Conference Paper | IST-REx-ID: 14198 |
Fortuin, Vincent, et al. “SOM-VAE: Interpretable Discrete Representation Learning on Time Series.” International Conference on Learning Representations, 2018.
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2018 | Conference Paper | IST-REx-ID: 14203 |
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.
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2018 | Conference Paper | IST-REx-ID: 14204 |
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.
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2018 | Conference Paper | IST-REx-ID: 14224 |
Locatello, Francesco, et al. “Clustering Meets Implicit Generative Models.” 6th International Conference on Learning Representations, 2018.
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2018 | Preprint | IST-REx-ID: 14327 |
Locatello, Francesco, et al. “Competitive Training of Mixtures of Independent Deep Generative Models.” ArXiv, 1804.11130, doi:10.48550/arXiv.1804.11130.
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2017 | Conference Paper | IST-REx-ID: 14206 |
Locatello, Francesco, et al. “Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees.” Advances in Neural Information Processing Systems, 2017.
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