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Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning.

A. Dittadi, F. Träuble, M. Wüthrich, F. Widmaier, P. Gehler, O. Winther, F. Locatello, O. Bachem, B. Schölkopf, and S. Bauer. CoRR, (2021)

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Francesco Bettella

Protein secondary structure prediction using optimized scoring functions: a comparative statistical methodF. Bettella. FU Berlin, (2009)

Francesco Pinosa

Francesco Solimena

Francesco Knechtli

Francesco Virili

Other publications of authors with the same name

Boosting Variational Inference: an Optimization Perspective.F. Locatello, R. Khanna, J. Ghosh, and G. Rätsch. AISTATS, volume 84 of Proceedings of Machine Learning Research, page 464-472. PMLR, (2018)Disentangling Factors of Variations Using Few Labels.F. Locatello, M. Tschannen, S. Bauer, G. Rätsch, B. Schölkopf, and O. Bachem. ICLR, OpenReview.net, (2020)A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation.F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, and O. Bachem. J. Mach. Learn. Res., (2020)Towards Causal Representation Learning.B. Schölkopf, F. Locatello, S. Bauer, N. Ke, N. Kalchbrenner, A. Goyal, and Y. Bengio. CoRR, (2021)Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.G. Négiar, G. Dresdner, A. Tsai, L. Ghaoui, F. Locatello, and F. Pedregosa. CoRR, (2020)Multi-View Causal Representation Learning with Partial Observability.D. Yao, D. Xu, S. Lachapelle, S. Magliacane, P. Taslakian, G. Martius, J. von Kügelgen, and F. Locatello. CoRR, (2023)A Sparsity Principle for Partially Observable Causal Representation Learning.D. Xu, D. Yao, S. Lachapelle, P. Taslakian, J. von Kügelgen, F. Locatello, and S. Magliacane. CoRR, (2024)Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations.A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, and T. Brox. CoRR, (2022)Stochastic Frank-Wolfe for Composite Convex Minimization.F. Locatello, A. Yurtsever, O. Fercoq, and V. Cevher. NeurIPS, page 14246-14256. (2019)Visual Representation Learning Does Not Generalize Strongly Within the Same Domain.L. Schott, J. von Kügelgen, F. Träuble, P. Gehler, C. Russell, M. Bethge, B. Schölkopf, F. Locatello, and W. Brendel. ICLR, OpenReview.net, (2022)

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Disambiguation of "Locatello, Francesco"

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Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning.

Please choose a person to relate this publication to

Francesco Bettella

Francesco Pinosa

Francesco Solimena

Francesco Knechtli

Francesco Virili

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Locatello, Francesco"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning.

Please choose a person to relate this publication to

Francesco Bettella

Francesco Pinosa

Francesco Solimena

Francesco Knechtli

Francesco Virili

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning.