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Mousavi, Hamid and Drefs, Jakob and Hirschberger, Florian and Lücke , Jörg (2023) Generic unsupervised optimization for a latent variable model with exponential family observables. Journal of machine learning research, 24 (285). pp. 1-59. ISSN 1533-7928
Drefs, Jakob and Guiraud, Enrico and Lücke, Jörg (2022) Evolutionary variational optimization of generative models. Journal of machine learning research, 23 (21). pp. 1-51. ISSN 1533-7928
Boos, Moritz and Lücke, Jörg and Rieger, Jochem W. (2021) Generalizable dimensions of human cortical auditory processing of speech in natural soundscapes: a data-driven ultra high field fMRI approach. NeuroImage, 237 (118106). pp. 1-16. ISSN 1053 - 8119 - 1095-9572
Mousavi, Hamid and Buhl, Mareike and Guiraud, Enrico and Drefs, Jakob and Lücke, Jörg (2021) Inference and learning in a latent variable model for beta distributed interval data. Entropy, 23 (5, 552). pp. 1-28. ISSN 1099-4300
Rau, Nikita and Lücke, Jörg and Hartmann, Alexander K. (2021) Phase transition for parameter learning of hidden Markov models. Physical review. E, 104 (4). pp. 1-10. ISSN 2470-0045 - 2470-0053
Sheikh, Abdul-Saboor and Harper, Nicol S. and Drefs, Jakob and Singer, Yosef and Dai, Zhenwen and Turner, Richard E. and Lücke, Jörg (2019) STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. PLOS Computational Biology, 15 (1). e1006595. ISSN 1553-7358
Sheikh, Abdul-Saboor and Harper, Nicol S. and Drefs, Jakob and Singer, Yosef and Dai, Zhenwen and Turner, Richard E. and Lücke, Jörg (2019) STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. PLOS Computational Biology, 15 (1). e1006595. ISSN 1553-7358
Lücke, Jörg and Forster, Dennis (2019) k-means as a variational EM approximation of Gaussian mixture models. Pattern recognition letters, 125. pp. 349-356. ISSN 0167-8655
Monk, Travis and Savin, Cristina and Lücke, Jörg (2018) Optimal neural inference of stimulus intensities. Scientific reports, 8 (1). p. 10038. ISSN 2045-2322
Forster, Dennis and Sheikh, Abdul-Saboor and Lücke , Jörg (2018) Neural simpletrons: learning in the limit of few labels with directed generative networks. Neural computation, 30 (8). pp. 2113-2174. ISSN 1530-888X
Drgas, Szymon and Virtanen, Tuomas and Lücke , Jörg and Hurmalainen, Antti (2017) Binary non-negative matrix deconvolution for audio dictionary learning. IEEE/ACM transactions on audio, speech, and language processing, 25 (8). pp. 1644-1656. ISSN 2329-9290
Exarchakis, Georgios and Lücke, Jörg (2017) Discrete sparse coding. Neural computation, 29 (11). pp. 2979-3013. ISSN 1530-888X
Shelton, Jacquelyn A. and Gasthaus, Jan and Dai, Zhenwen and Lücke , Jörg and Gretton, Arthur (2017) GP-select: accelerating EM using adaptive subspace preselection. Neural computation, 29 (8). pp. 2177-2202. ISSN 1530-888X
Holca-Lamarre, Raphaël and Lücke, Jörg and Obermayer, Klaus (2017) Models of acetylcholine and dopamine signals differentially improve neural representations. Frontiers in computational neuroscience, 11. p. 54.
Mousavi, S. Hamid and Drefs, Jakob and Lücke, Jörg (2021) A double-dictionary approach learns component means and variances for V1 encoding. In: Machine Learning, Optimization, and Data Science. Lecture notes in computer science (12566). Springer International Publishing AG, Cham, pp. 240-244. ISBN 978-3-030-64580-9
Drefs, Jakob and Guiraud, Enrico and Panagiotou, Filippos and Lücke , Jörg (2023) Direct evolutionary optimization of variational autoencoders with binary latents. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, September 19–23, 2022, Grenoble, France.
Damm, Simon and Forster, Dennis and Velychko, Dmytro and Dai, Zhenwen and Fischer, Asja and Lücke , Jörg (2023) The ELBO of variational autoencoders converges to a sum of entropies. In: International Conference on Artificial Intelligence and Statistics (AISTATS), 25-27 April 2023, Valencia, Spain.
Forster, Dennis and Lücke, Jörg (2018) Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means. In: AISTATS 2018, The 21st International Conference on Artificial Intelligence and Statistics, April 9 - 11, 2018, Playa Blanca, Lanzarote, Canary Islands, Spain.
Guiraud, Enrico and Drefs, Jakob and Lücke, Jörg (2018) Evolutionary expectation maximization. In: GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, Kyoto, Japan, July 15-19, 2018.
Lücke, Jörg and Dai, Zhenwen and Exarchakis, Georgios (2018) Truncated variational sampling for 'black box' optimization of generative models. In: Latent Variable Analysis and Signal Separation, July 2–5, 2018, Guildford, UK.
Forster, Dennis and Lücke , Jörg (2017) Truncated variational EM for semi-supervised neural simpletrons. In: IJCNN 2017 : the International Joint Conference on Neural Networks, 2017.05.14-19, Anchorage, Alaska.
