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ORCIDPaul K. Rubenstein
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2020 – today
- 2023
[c10]Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu:
SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. ASRU 2023: 1-8- [c9]Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars
, Maxim Berman:
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations. WACV 2023: 3868-3878 - [i13]Amirkeivan Mohtashami, Mauro Verzetti, Paul K. Rubenstein:
Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models. CoRR abs/2302.03491 (2023) - [i12]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 N. Sainath, Johan Schalkwyk, Matthew Sharifi, Michelle Tadmor Ramanovich, Marco Tagliasacchi, Alexandru Tudor, Mihajlo Velimirovic, Damien Vincent, Jiahui Yu, Yongqiang Wang, Vicky Zayats, Neil Zeghidour, Yu Zhang, Zhishuai Zhang, Lukas Zilka, Christian Havnø Frank:
AudioPaLM: A Large Language Model That Can Speak and Listen. CoRR abs/2306.12925 (2023) - [i11]Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Yongqiang Wang, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Zhong Meng, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu:
SLM: Bridge the thin gap between speech and text foundation models. CoRR abs/2310.00230 (2023) - 2022
- [i10]Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars, Maxim Berman:
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations. CoRR abs/2203.06127 (2022) - 2020
- [b1]Paul K. Rubenstein:
Advances in latent variable and causal models. University of Cambridge, UK, 2020 - [c8]Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic:
On Mutual Information Maximization for Representation Learning. ICLR 2020
2010 – 2019
- 2019
- [c7]Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya O. Tolstikhin:
Practical and Consistent Estimation of f-Divergences. NeurIPS 2019: 4072-4082 - [c6]Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf:
The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA. UAI 2019: 217-227 - [i9]Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf:
The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA. CoRR abs/1905.06642 (2019) - [i8]Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya O. Tolstikhin:
Practical and Consistent Estimation of f-Divergences. CoRR abs/1905.11112 (2019) - [i7]Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic:
On Mutual Information Maximization for Representation Learning. CoRR abs/1907.13625 (2019) - [i6]Julius von Kügelgen, Paul K. Rubenstein, Bernhard Schölkopf, Adrian Weller:
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks. CoRR abs/1910.03962 (2019) - 2018
- [c5]Paul K. Rubenstein, Bernhard Schölkopf, Ilya O. Tolstikhin:
Learning Disentangled Representations with Wasserstein Auto-Encoders. ICLR (Workshop) 2018 - [c4]Paul K. Rubenstein, Bernhard Schölkopf, Ilya O. Tolstikhin:
Wasserstein Auto-Encoders: Latent Dimensionality and Random Encoders. ICLR (Workshop) 2018 - [c3]Paul K. Rubenstein, Stephan Bongers, Joris M. Mooij, Bernhard Schölkopf:
From Deterministic ODEs to Dynamic Structural Causal Models. UAI 2018: 114-123 - [i5]Paul K. Rubenstein, Bernhard Schölkopf, Ilya O. Tolstikhin:
On the Latent Space of Wasserstein Auto-Encoders. CoRR abs/1802.03761 (2018) - [i4]Paul K. Rubenstein, Yunpeng Li, Dominik Roblek:
An Empirical Study of Generative Models with Encoders. CoRR abs/1812.07909 (2018) - 2017
- [c2]Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf:
Causal Consistency of Structural Equation Models. UAI 2017 - [i3]Paul K. Rubenstein, Ilya O. Tolstikhin, Philipp Hennig, Bernhard Schölkopf:
Probabilistic Active Learning of Functions in Structural Causal Models. CoRR abs/1706.10234 (2017) - [i2]Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf:
Causal Consistency of Structural Equation Models. CoRR abs/1707.00819 (2017) - 2016
- [c1]Paul K. Rubenstein, Kacper Chwialkowski, Arthur Gretton:
A Kernel Test for Three-Variable Interactions with Random Processes. UAI 2016 - [i1]Paul K. Rubenstein, Stephan Bongers, Joris M. Mooij, Bernhard Schölkopf:
From Deterministic ODEs to Dynamic Structural Causal Models. CoRR abs/1608.08028 (2016)
Coauthor Index
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