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• Ipsen NB, Mattei P-A, Frellsen J (2024) not-MIWAE: Deep Generative Modelling with Missing not at Random Data. arXiv: 伕理http
• Mallasto A, Frellsen J, Boomsma W, Feragen A (2024) (q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs. arXiv: 1902.03642

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1. Mattei P-A, 伕理http (2024) MIWAE: Deep Generative Modelling and Imputation of Incomplete Data. Proceedings of the 36th International Conference on Machine Learning (ICML 2024). Online version, arXiv: 1812.02633
2. Wiqvist S, Mattei P-A, Picchini U, 伕理http (2024) Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. Proceedings of the 36th International Conference on Machine Learning (ICML 2024). Online version, arXiv: 1901.10230
3. Mattei P-A, Frellsen J (2018) Leveraging the Exact Likelihood of Deep Latent Variable Models. Advances in Neural Information Processing Systems 31 (NeurIPS 2018). Online version, arXiv: 1802.04826
4. Mattei P-A, Frellsen J (2018) Refit your Encoder when New Data Comes by. Third workshop on Bayesian Deep Learning (at NeurIPS 2018). Online version
5. Mattei P-A, 伕理http (2018) missIWAE: Deep Generative Modelling and Imputation of Incomplete Data. Third workshop on Bayesian Deep Learning (at NeurIPS 2018). Online version
6. Mardia KV, Foldager JI, Frellsen J (2018) Directional Statistics in Protein Bioinformatics. In: Ley C, Verdebout T (eds.), Applied Directional Statistics: Modern Methods and Case Studies. CRC Press. doi:10.1201/9781315228570
7. Boomsma W, Frellsen J (2017) Spherical convolutions and their application in molecular modelling. 机灵伕理-最新免费HTTP伕理ip软件_国内专业爬虫socks5 ...:2021-7-5 · 机灵伕理主要提供伕理IP、伕理服务器服务，要更换IP地址的项目均适用，HTTP伕理,免费伕理ip支持api批量提取ip，伕理ip池中的ip可用为广大用户解决IP受限制的问题。 注意: 不提供境外伕理IP服务，不得利用本站资源做违法活动。 机灵伕理ip产品提供:HTTP伕理,免费伕理ip,最新伕理IP,爬虫伕理,Socks5伕理 .... 墙翻伕理网址. 墙翻伕理网址
8. Brouwer T, Frellsen J, Liò P (2017) Comparative Study of Inference Methods for Bayesian Matrix Factorisation. 如何基于http伕理解决Java固定ip问题_java_脚本之家:2021-3-25 · 这篇文章主要介绍了如何基于http伕理解决Java固定ip问题,文中通过示例伕码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值,需要的朋友可众参考下. arXiv: 1707.05147
9. Navarro AKW, Frellsen J, Turner RE (2017) The Multivariate Generalised von Mises: Inference and applications. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2394-2400. arXiv: 1602.05003
10. Brouwer T, 墙翻伕理网址, Liò P (2016) Fast Bayesian non-negative matrix factorisation and tri-factorisation. Advances in Approximate Bayesian Inference Workshop at NeurIPS 2016, Barcelona, Spain. arXiv: 1610.08127
11. Frellsen J, Winther O, Ghahramani Z, Ferkinghoff-Borg J (2016) Bayesian generalised ensemble Markov chain Monte Carlo. Proceedings of the 19^th International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain. JMLR: W&CP volume 41. [pdf] [supplementary]
12. Hamelryck T, Boomsma W, Ferkinghoff-Borg J, Foldager J, Frellsen J, Haslett J, Theobald D (2015) Proteins, physics and probability kinematics: a Bayesian formulation of the protein folding problem. In: Dryden IL, Kent JT (eds.), Geometry Driven Statistics. Wiley. doi:10.1002/9781118866641.ch18
13. Boomsma W, Tian P, Frellsen J, Jesper Ferkinghoff-Borg, Thomas Hamelryck, Kresten Lindorff-Larsen, and Michele Vendruscolo (2014) Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts. 伕理http, 111(38):13852-13857. doi:10.1073/pnas.1404948111
14. Kerpedjiev P*, 伕理http*, Lindgreen S, Krogh A (2014) Adaptable probabilistic mapping of short reads using position specific scoring matrices. BMC Bioinformatics 15:100. doi:10.1186/1471-2105-15-100
    *Joint first author.
15. Frellsen J*, Menzel P*, Krogh A (2014) Algorithms for mapping high-throughput DNA sequences. In: Brahme A (ed.), Comprehensive Biomedical Physics, Volume 6: Bioinformatics. Elsevier. pp 41-50. doi:10.1016/B978-0-444-53632-7.01103-5.
    *Joint first author.
16. 墙翻伕理网址, Hamelryck T, Ferkinghoff-Borg J (2013) Combining the multicanonical ensemble with generative probabilistic models of local biomolecular structure. Proceedings 59^th ISI World Statistics Congress, pp 139-144, 25-30 August 2013, Hong Kong. International Statistical Institute, The Hague, The Netherlands, December 2013. Online version
17. Menzel P*, 伕理http*, Plass M, Rasmussen SH, Krogh A (2013) On the Accuracy of Short Read Mapping. In: Shomron N (ed.), Deep Sequencing Data Analysis, Methods in Molecular Biology. Humana Press. pp. 39-59. doi:10.1007/978-1-62703-514-9_3.
    *Joint first author.
18. Olsson S, Frellsen J, Boomsma W, Mardia KV, Hamelryck T (2013) Inference of structure ensembles of flexible biomolecules from sparse, averaged data. PLoS ONE 8(11): e79439. doi:伕理http
19. Valentin JB, Andreetta C, Boomsma W, Bottaro S, Ferkinghoff-Borg J, 墙翻伕理网址, Mardia KV, Tian P, Hamelryck T (2013) Formulation of probabilistic models of protein structure in atomic detail using the reference ratio method. Proteins 82: 288-299. doi:10.1002/prot.24386
20. Boomsma W, Frellsen J, Harder T, Bottaro S, Johansson KE, et al. (2013) PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure. 广东远东招标伕理有限公司:2021-6-15 · 广东远东招标伕理有限公司 地址：广东省广州市越秀区越秀北路222号608-612室 联系电话：020-83642820 网址：www.gdydzb.com 技术支持：广东比比信息技术服务有限公司 … 34(19):1697-1705. doi:10.1002/jcc.23292
21. Hamelryck T, Haslett J, Mardia K, Kent JT, Valentin J, 伕理http, Ferkinghoff-Borg J (2013) On the reference ratio method and its application to statistical protein structure prediction. Proceedings of the 32^th Leeds Annual Statistical Research Workshop, pp 53-57. Leeds University Press. Online version
22. Frellsen J, Mardia KV, Borg M, Ferkinghoff-Borg J, Thomas Hamelryck (2012) Towards a General Probabilistic Model of Protein Structure: The Reference Ratio Method. Hamelryck T et al. (eds.), Bayesian Methods in Structural Bioinformatics, Statistics for Biology and Health. Springer-Verlag. doi:10.1007/978-3-642-27225-7_4
23. Mardia KV and Frellsen J (2012) Statistics of Bivariate von Mises Distributions. Hamelryck T et al. (eds.), Bayesian Methods in Structural Bioinformatics, Statistics for Biology and Health. Springer-Verlag. doi:10.1007/978-3-642-27225-7_6 [errata]
24. Boomsma W, Frellsen J, and Hamelryck T (2012) Probabilistic Models of Local Biomolecular Structure and Their Applications. Hamelryck T et al. (eds.), Bayesian Methods in Structural Bioinformatics, Statistics for Biology and Health. Springer-Verlag. doi:10.1007/978-3-642-27225-7_10
25. Olsson S, Boomsma W, Frellsen J, Bottaro S, Harder T, Ferkinghoff-Borg J, Hamelryck T (2011) Generative probabilistic models extend the scope of inferential structure determination. Journal of Magnetic Resonance 213(1):182-186. doi:10.1016/j.jmr.2011.08.039
26. Mardia KV, Frellsen J, Borg M, Ferkinghoff-Borg J, Hamelryck T (2011) A statistical view on the reference ratio method. Proceedings of the 30^th Leeds Annual Statistical Research Workshop, pp 55-61. Leeds University Press. 伕理http
27. Hamelryck T, Borg M, Paluszewski M, Paulsen, Frellsen J, Andreetta C, Boomsma W, Bottaro S, Ferkinghoff-Borg J (2010) Potentials of Mean Force for Protein Structure Prediction Vindicated, Formalized and Generalized. PLoS ONE 5:e13714. doi:10.1371/journal.pone.0013714
28. Harder T, Boomsma W, Paluszewski M, Frellsen J, Johansson KE, Hamelryck T (2010) Beyond rotamers: a generative, probabilistic model of side chains in proteins. BMC Bioinformatics 11:306. doi:10.1186/1471-2105-11-306
29. Borg M, Mardia KV, Boomsma W, Frellsen J, Harder T, Stovgaard K, Ferkinghoff-Borg J, Røgen P, Hamelryck T (2009) A probabilistic approach to protein structure prediction: PHAISTOS in CASP9. The 28th Leeds Annual Statistical Research Workshop, pp 65-70. Leeds University Press. 墙翻伕理网址
30. Frellsen J*, Moltke I*, Thiim M, Mardia KV, Ferkinghoff-Borg J, Hamelryck T (2009) A Probabilistic Model of RNA Conformational Space. PLoS Computational Biology 5(6): e1000406. doi:10.1371/journal.pcbi.1000406. *Joint first author.
31. Boomsma W, Borg M, Frellsen J, Harder T, Stovgaard K, Ferkinghoff-Borg J, Krogh A, Mardia KV and Hamelryck, T (2008) PHAISTOS: protein structure prediction using a probabilistic model of local structure. Proceedings of CASP8, pp 82-83. Cagliari, Sardinia, Italy, December 3-7 2008.
32. Marstrand TT, Frellsen J, Moltke I, Thiim M, Valen E, Retelska D, Krogh A (2008) Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites. PLoS ONE 3(2): e1623. doi:10.1371/journal.pone.0001623

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• Deep Learning Workshop: Theory, Algorithms, and Applications, Copenhagen, April 2024.
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• The 33^rd Leeds Annual Statistical Research Workshop, University of Leeds, UK, July 2015.
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• Signal Processing and Communications Lab Seminars, Department of Engineering, University of Cambridge, January 2015.
• Oxford Robotics Research Group Seminars, Department of Engineering Science, University of Oxford, August 2014.
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• Pierre-Alexandre Mattei (Postdoc at ITU)
• Niels Bruun Ipsen (Visiting PhD fellow at ITU)
• Jesper Illemann Foldager (Visiting PhD fellow at ITU)