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Paul K. Rubenstein

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AudioPaLM: A Large Language Model That Can Speak and Listen

Jun 22, 2023
Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, Ankur Bapna, Zalán Borsos, Félix de Chaumont Quitry, Peter Chen, Dalia El Badawy, Wei Han, Eugene Kharitonov, Hannah Muckenhirn, Dirk Padfield, James Qin, Danny Rozenberg, Tara Sainath, Johan Schalkwyk, Matt Sharifi, Michelle Tadmor Ramanovich, Marco Tagliasacchi, Alexandru Tudor, Mihajlo Velimirović, Damien Vincent, Jiahui Yu, Yongqiang Wang, Vicky Zayats, Neil Zeghidour, Yu Zhang, Zhishuai Zhang, Lukas Zilka, Christian Frank

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Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models

Feb 07, 2023
Amirkeivan Mohtashami, Mauro Verzetti, Paul K. Rubenstein

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Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations

Mar 11, 2022
Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars, Maxim Berman

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On Mutual Information Maximization for Representation Learning

Jul 31, 2019
Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic

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Practical and Consistent Estimation of f-Divergences

May 27, 2019
Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya Tolstikhin

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The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA

May 16, 2019
Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf

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An Empirical Study of Generative Models with Encoders

Dec 19, 2018
Paul K. Rubenstein, Yunpeng Li, Dominik Roblek

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From Deterministic ODEs to Dynamic Structural Causal Models

Jul 09, 2018
Paul K. Rubenstein, Stephan Bongers, Bernhard Schoelkopf, Joris M. Mooij

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On the Latent Space of Wasserstein Auto-Encoders

Feb 11, 2018
Paul K. Rubenstein, Bernhard Schoelkopf, Ilya Tolstikhin

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Causal Consistency of Structural Equation Models

Jul 04, 2017
Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf

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