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ORCIDBibTeX records: Heiko Strathmann
@article{DBLP:journals/corr/abs-2404-10179,
author = {SIMA Team and
Maria Abi Raad and
Arun Ahuja and
Catarina Barros and
Frederic Besse and
Andrew Bolt and
Adrian Bolton and
Bethanie Brownfield and
Gavin Buttimore and
Max Cant and
Sarah Chakera and
Stephanie C. Y. Chan and
Jeff Clune and
Adrian Collister and
Vikki Copeman and
Alex Cullum and
Ishita Dasgupta and
Dario de Cesare and
Julia Di Trapani and
Yani Donchev and
Emma Dunleavy and
Martin Engelcke and
Ryan Faulkner and
Frankie Garcia and
Charles Gbadamosi and
Zhitao Gong and
Lucy Gonzalez and
Kshitij Gupta and
Karol Gregor and
Arne Olav Hallingstad and
Tim Harley and
Sam Haves and
Felix Hill and
Ed Hirst and
Drew A. Hudson and
Jony Hudson and
Steph Hughes{-}Fitt and
Danilo J. Rezende and
Mimi Jasarevic and
Laura Kampis and
Nan Rosemary Ke and
Thomas Keck and
Junkyung Kim and
Oscar Knagg and
Kavya Kopparapu and
Andrew K. Lampinen and
Shane Legg and
Alexander Lerchner and
Marjorie Limont and
Yulan Liu and
Maria Loks{-}Thompson and
Joseph Marino and
Kathryn Martin Cussons and
Loic Matthey and
Siobhan Mcloughlin and
Piermaria Mendolicchio and
Hamza Merzic and
Anna Mitenkova and
Alexandre Moufarek and
Val{\'{e}}ria Oliveira and
Yanko Gitahy Oliveira and
Hannah Openshaw and
Renke Pan and
Aneesh Pappu and
Alex Platonov and
Ollie Purkiss and
David P. Reichert and
John Reid and
Pierre Harvey Richemond and
Tyson Roberts and
Giles Ruscoe and
Jaume Sanchez Elias and
Tasha Sandars and
Daniel P. Sawyer and
Tim Scholtes and
Guy Simmons and
Daniel Slater and
Hubert Soyer and
Heiko Strathmann and
Peter Stys and
Allison C. Tam and
Denis Teplyashin and
Tayfun Terzi and
Davide Vercelli and
Bojan Vujatovic and
Marcus Wainwright and
Jane X. Wang and
Zhengdong Wang and
Daan Wierstra and
Duncan Williams and
Nathaniel Wong and
Sarah York and
Nick Young},
title = {Scaling Instructable Agents Across Many Simulated Worlds},
journal = {CoRR},
volume = {abs/2404.10179},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2404.10179},
doi = {10.48550/ARXIV.2404.10179},
eprinttype = {arXiv},
eprint = {2404.10179},
timestamp = {Tue, 18 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2404-10179.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2301-05747,
author = {Pol Moreno and
Adam R. Kosiorek and
Heiko Strathmann and
Daniel Zoran and
Ros{\'{a}}lia G. Schneider and
Bj{\"{o}}rn Winckler and
Larisa Markeeva and
Th{\'{e}}ophane Weber and
Danilo J. Rezende},
title = {Laser: Latent Set Representations for 3D Generative Modeling},
journal = {CoRR},
volume = {abs/2301.05747},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2301.05747},
doi = {10.48550/ARXIV.2301.05747},
eprinttype = {arXiv},
eprint = {2301.05747},
timestamp = {Thu, 19 Jan 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2301-05747.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/DoucetGMS22,
author = {Arnaud Doucet and
Will Grathwohl and
Alexander G. de G. Matthews and
Heiko Strathmann},
editor = {Sanmi Koyejo and
S. Mohamed and
A. Agarwal and
Danielle Belgrave and
K. Cho and
A. Oh},
title = {Score-Based Diffusion meets Annealed Importance Sampling},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference
on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,
LA, USA, November 28 - December 9, 2022},
year = {2022},
url = {http://papers.nips.cc/paper\_files/paper/2022/hash/86b7128efa3950df7c0f6c0342e6dcc1-Abstract-Conference.html},
timestamp = {Mon, 08 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/DoucetGMS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2208-07698,
author = {Arnaud Doucet and
Will Grathwohl and
Alexander G. de G. Matthews and
Heiko Strathmann},
title = {Score-Based Diffusion meets Annealed Importance Sampling},
journal = {CoRR},
volume = {abs/2208.07698},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2208.07698},
doi = {10.48550/ARXIV.2208.07698},
eprinttype = {arXiv},
eprint = {2208.07698},
timestamp = {Mon, 22 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2208-07698.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/access/FortuinDSR21,
author = {Vincent Fortuin and
Gideon Dresdner and
Heiko Strathmann and
Gunnar R{\"{a}}tsch},
title = {Sparse Gaussian Processes on Discrete Domains},
journal = {{IEEE} Access},
volume = {9},
pages = {76750--76758},
year = {2021},
url = {https://doi.org/10.1109/ACCESS.2021.3082761},
doi = {10.1109/ACCESS.2021.3082761},
timestamp = {Tue, 15 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/access/FortuinDSR21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KosiorekSZMSMR21,
author = {Adam R. Kosiorek and
Heiko Strathmann and
Daniel Zoran and
Pol Moreno and
Rosalia Schneider and
Sona Mokr{\'{a}} and
Danilo Jimenez Rezende},
editor = {Marina Meila and
Tong Zhang},
title = {NeRF-VAE: {A} Geometry Aware 3D Scene Generative Model},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
{ICML} 2021, 18-24 July 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {139},
pages = {5742--5752},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v139/kosiorek21a.html},
timestamp = {Wed, 25 Aug 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KosiorekSZMSMR21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2103-01043,
author = {Heiko Strathmann and
Mohammadamin Barekatain and
Charles Blundell and
Petar Velickovic},
title = {Persistent Message Passing},
journal = {CoRR},
volume = {abs/2103.01043},
year = {2021},
url = {https://arxiv.org/abs/2103.01043},
eprinttype = {arXiv},
eprint = {2103.01043},
timestamp = {Thu, 04 Mar 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2103-01043.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2104-00587,
author = {Adam R. Kosiorek and
Heiko Strathmann and
Daniel Zoran and
Pol Moreno and
Rosalia Schneider and
Sona Mokr{\'{a}} and
Danilo J. Rezende},
title = {NeRF-VAE: {A} Geometry Aware 3D Scene Generative Model},
journal = {CoRR},
volume = {abs/2104.00587},
year = {2021},
url = {https://arxiv.org/abs/2104.00587},
eprinttype = {arXiv},
eprint = {2104.00587},
timestamp = {Tue, 13 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2104-00587.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2107-10731,
author = {Lauro Langosco di Langosco and
Vincent Fortuin and
Heiko Strathmann},
title = {Neural Variational Gradient Descent},
journal = {CoRR},
volume = {abs/2107.10731},
year = {2021},
url = {https://arxiv.org/abs/2107.10731},
eprinttype = {arXiv},
eprint = {2107.10731},
timestamp = {Thu, 29 Jul 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2107-10731.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/FortuinHLSR19,
author = {Vincent Fortuin and
Matthias H{\"{u}}ser and
Francesco Locatello and
Heiko Strathmann and
Gunnar R{\"{a}}tsch},
title = {{SOM-VAE:} Interpretable Discrete Representation Learning on Time
Series},
booktitle = {7th International Conference on Learning Representations, {ICLR} 2019,
New Orleans, LA, USA, May 6-9, 2019},
publisher = {OpenReview.net},
year = {2019},
url = {https://openreview.net/forum?id=rygjcsR9Y7},
timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iclr/FortuinHLSR19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiSSG19,
author = {Wenliang Li and
Danica J. Sutherland and
Heiko Strathmann and
Arthur Gretton},
editor = {Kamalika Chaudhuri and
Ruslan Salakhutdinov},
title = {Learning deep kernels for exponential family densities},
booktitle = {Proceedings of the 36th International Conference on Machine Learning,
{ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {97},
pages = {6737--6746},
publisher = {{PMLR}},
year = {2019},
url = {http://proceedings.mlr.press/v97/wenliang19a.html},
timestamp = {Sun, 24 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LiSSG19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SutherlandSAG18,
author = {Danica J. Sutherland and
Heiko Strathmann and
Michael Arbel and
Arthur Gretton},
editor = {Amos J. Storkey and
Fernando P{\'{e}}rez{-}Cruz},
title = {Efficient and principled score estimation with Nystr{\"{o}}m
kernel exponential families},
booktitle = {International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands,
Spain},
series = {Proceedings of Machine Learning Research},
volume = {84},
pages = {652--660},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v84/sutherland18a.html},
timestamp = {Sun, 24 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/aistats/SutherlandSAG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1806-02199,
author = {Vincent Fortuin and
Matthias H{\"{u}}ser and
Francesco Locatello and
Heiko Strathmann and
Gunnar R{\"{a}}tsch},
title = {Deep Self-Organization: Interpretable Discrete Representation Learning
on Time Series},
journal = {CoRR},
volume = {abs/1806.02199},
year = {2018},
url = {http://arxiv.org/abs/1806.02199},
eprinttype = {arXiv},
eprint = {1806.02199},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1806-02199.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1810-10368,
author = {Vincent Fortuin and
Gideon Dresdner and
Heiko Strathmann and
Gunnar R{\"{a}}tsch},
title = {Scalable Gaussian Processes on Discrete Domains},
journal = {CoRR},
volume = {abs/1810.10368},
year = {2018},
url = {http://arxiv.org/abs/1810.10368},
eprinttype = {arXiv},
eprint = {1810.10368},
timestamp = {Thu, 01 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1810-10368.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1811-08357,
author = {Wenliang Li and
Danica J. Sutherland and
Heiko Strathmann and
Arthur Gretton},
title = {Learning deep kernels for exponential family densities},
journal = {CoRR},
volume = {abs/1811.08357},
year = {2018},
url = {http://arxiv.org/abs/1811.08357},
eprinttype = {arXiv},
eprint = {1811.08357},
timestamp = {Sun, 24 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1811-08357.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/SutherlandTSDRS17,
author = {Danica J. Sutherland and
Hsiao{-}Yu Tung and
Heiko Strathmann and
Soumyajit De and
Aaditya Ramdas and
Alexander J. Smola and
Arthur Gretton},
title = {Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy},
booktitle = {5th International Conference on Learning Representations, {ICLR} 2017,
Toulon, France, April 24-26, 2017, Conference Track Proceedings},
publisher = {OpenReview.net},
year = {2017},
url = {https://openreview.net/forum?id=HJWHIKqgl},
timestamp = {Sun, 24 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/iclr/SutherlandTSDRS17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/pkdd/SchusterSPS17,
author = {Ingmar Schuster and
Heiko Strathmann and
Brooks Paige and
Dino Sejdinovic},
editor = {Michelangelo Ceci and
Jaakko Hollm{\'{e}}n and
Ljupco Todorovski and
Celine Vens and
Saso Dzeroski},
title = {Kernel Sequential Monte Carlo},
booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference,
{ECML} {PKDD} 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings,
Part {I}},
series = {Lecture Notes in Computer Science},
volume = {10534},
pages = {390--409},
publisher = {Springer},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-71249-9\_24},
doi = {10.1007/978-3-319-71249-9\_24},
timestamp = {Tue, 14 May 2019 10:00:47 +0200},
biburl = {https://dblp.org/rec/conf/pkdd/SchusterSPS17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/SutherlandSAG17,
author = {Danica J. Sutherland and
Heiko Strathmann and
Michael Arbel and
Arthur Gretton},
title = {Efficient and principled score estimation},
journal = {CoRR},
volume = {abs/1705.08360},
year = {2017},
url = {http://arxiv.org/abs/1705.08360},
eprinttype = {arXiv},
eprint = {1705.08360},
timestamp = {Sun, 24 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/SutherlandSAG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChwialkowskiSG16,
author = {Kacper Chwialkowski and
Heiko Strathmann and
Arthur Gretton},
editor = {Maria{-}Florina Balcan and
Kilian Q. Weinberger},
title = {A Kernel Test of Goodness of Fit},
booktitle = {Proceedings of the 33nd International Conference on Machine Learning,
{ICML} 2016, New York City, NY, USA, June 19-24, 2016},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {48},
pages = {2606--2615},
publisher = {JMLR.org},
year = {2016},
url = {http://proceedings.mlr.press/v48/chwialkowski16.html},
timestamp = {Wed, 29 May 2019 08:41:46 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChwialkowskiSG16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/SutherlandTSDRS16,
author = {Danica J. Sutherland and
Hsiao{-}Yu Fish Tung and
Heiko Strathmann and
Soumyajit De and
Aaditya Ramdas and
Alexander J. Smola and
Arthur Gretton},
title = {Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy},
journal = {CoRR},
volume = {abs/1611.04488},
year = {2016},
url = {http://arxiv.org/abs/1611.04488},
eprinttype = {arXiv},
eprint = {1611.04488},
timestamp = {Sun, 24 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/SutherlandTSDRS16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/StrathmannSLSG15,
author = {Heiko Strathmann and
Dino Sejdinovic and
Samuel Livingstone and
Zolt{\'{a}}n Szab{\'{o}} and
Arthur Gretton},
editor = {Corinna Cortes and
Neil D. Lawrence and
Daniel D. Lee and
Masashi Sugiyama and
Roman Garnett},
title = {Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential
Families},
booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference
on Neural Information Processing Systems 2015, December 7-12, 2015,
Montreal, Quebec, Canada},
pages = {955--963},
year = {2015},
url = {https://proceedings.neurips.cc/paper/2015/hash/8ebda540cbcc4d7336496819a46a1b68-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/StrathmannSLSG15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/StrathmannSG15,
author = {Heiko Strathmann and
Dino Sejdinovic and
Mark A. Girolami},
title = {Unbiased Bayes for Big Data: Paths of Partial Posteriors},
journal = {CoRR},
volume = {abs/1501.03326},
year = {2015},
url = {http://arxiv.org/abs/1501.03326},
eprinttype = {arXiv},
eprint = {1501.03326},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/StrathmannSG15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SejdinovicSGAG14,
author = {Dino Sejdinovic and
Heiko Strathmann and
Maria Lomeli Garcia and
Christophe Andrieu and
Arthur Gretton},
title = {Kernel Adaptive Metropolis-Hastings},
booktitle = {Proceedings of the 31th International Conference on Machine Learning,
{ICML} 2014, Beijing, China, 21-26 June 2014},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {32},
pages = {1665--1673},
publisher = {JMLR.org},
year = {2014},
url = {http://proceedings.mlr.press/v32/sejdinovic14.html},
timestamp = {Wed, 29 May 2019 08:41:45 +0200},
biburl = {https://dblp.org/rec/conf/icml/SejdinovicSGAG14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/SejdinovicGSAG13,
author = {Dino Sejdinovic and
Maria Lomeli Garcia and
Heiko Strathmann and
Christophe Andrieu and
Arthur Gretton},
title = {Kernel Adaptive Metropolis-Hastings},
journal = {CoRR},
volume = {abs/1307.5302},
year = {2013},
url = {http://arxiv.org/abs/1307.5302},
eprinttype = {arXiv},
eprint = {1307.5302},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/SejdinovicGSAG13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/GrettonSSSBPF12,
author = {Arthur Gretton and
Bharath K. Sriperumbudur and
Dino Sejdinovic and
Heiko Strathmann and
Sivaraman Balakrishnan and
Massimiliano Pontil and
Kenji Fukumizu},
editor = {Peter L. Bartlett and
Fernando C. N. Pereira and
Christopher J. C. Burges and
L{\'{e}}on Bottou and
Kilian Q. Weinberger},
title = {Optimal kernel choice for large-scale two-sample tests},
booktitle = {Advances in Neural Information Processing Systems 25: 26th Annual
Conference on Neural Information Processing Systems 2012. Proceedings
of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States},
pages = {1214--1222},
year = {2012},
url = {https://proceedings.neurips.cc/paper/2012/hash/dbe272bab69f8e13f14b405e038deb64-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/GrettonSSSBPF12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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