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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.
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
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
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 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.
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
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.
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.
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.
