Publications
2022
- Shekhovtsov, A., Schlesinger, D., & Flach, B. (2022). VAE Approximation Error: ELBO and Exponential Families. International Conference on Learning Representations. https://openreview.net/forum?id=OIs3SxU5Ynl
2020
- Sixta, T., Cao, J., Seebach, J., Schnittler, H., & Flach, B. (2020). Coupling cell detection and tracking by temporal feedback. Machine Vision and Applications, 31(4). https://doi.org/10.1007/s00138-020-01072-7
- Shekhovtsov, A., Yanush, V., & Flach, B. (2020). Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), Advances in Neural Information Processing Systems (Vol. 33, pp. 12884–12894). Curran Associates, Inc. https://proceedings.neurips.cc/paper/2020/file/96fca94df72984fc97ee5095410d4dec-Paper.pdf
2019
- Shekhovtsov, A., & Flach, B. (2019). Stochastic Normalizations as Bayesian Learning. In C. V. Jawahar, H. Li, G. Mori, & K. Schindler (Eds.), Computer Vision – ACCV 2018 (pp. 463–479). Springer International Publishing.
- Shekhovtsov, A., & Flach, B. (2019). Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers. International Conference on Learning Representations. https://openreview.net/forum?id=SkMuPjRcKQ
2018
- Schlesinger, M. I., Flach, B., & Vodolazskiy, E. (2018). Finding a Given Number of Solutions to a System of Fuzzy Constraints. Cybernetics and Systems Analysis, 54(1), 60–74. https://doi.org/10.1007/s10559-018-0007-2
2017
- Cao, J., Ehling, M., März, S., Seebach, J., Tarbashevich, K., Sixta, T., Pitulescu, M. E., Werner, A. C., Flach, B., Montanez, E., Raz, E., Adams, R. H., & Schnittler, H. (2017). Polarized actin and VE-cadherin dynamics regulate junctional remodelling and cell migration during sprouting angiogenesis. Nature Communications, 8(1), 2210–. https://doi.org/10.1038/s41467-017-02373-8
Selected
- Vodolazskii, E. V., Flach, B., & Schlesinger, M. I. (2014). Minimax Problems of Discrete Optimization Invariant under Majority Operators. Computational Mathematics and Mathematical Physics, 54(8), 1327–1336. https://doi.org/10.1134/S0965542514080144
- Quincey, D. J., Bishop, M. P., Kääb, A., Berthier, E., Flach, B., Bolch, T., Buchroithner, M., Kamp, U., Khalsa, S. J. S., Toutin, T., Haritashya, U. K., Racoviteanu, A., Shroder, J. F., & Raup, B. H. (2014). Digital Terrain Modeling and Glacier Topographic Characterization. In J. S. Kargel, G. J. Leonard, M. P. Bishop, A. Kääb, & B. H. Raup (Eds.), Global Land Ice Measurements from Space (pp. 113–144). Springer. https://doi.org/10.1007/978-3-540-79818-7_5
- Flach, B., & Hlavac, V. (2014). Expectation Maximization Algorithm. In K. Ikeuchi (Ed.), Computer Vision: A Reference Guide (pp. 265–268). Springer.
- Flach, B. (2013). A Class of Random Fields on Complete Graphs with Tractable Partition Function. Pattern Analysis and Machine Intelligence, IEEE Transactions On, 35(9), 2304–2306. https://doi.org/10.1109/TPAMI.2013.99
- Flach, B., & Sixta, T. (2013). Unsupervised (parameter) learning for MRFs on bipartite graphs. Proceedings of the British Machine Vision Conference, 72.1–72.11.
- Flach, B., & Schlesinger, D. (2011). Modelling composite shapes by Gibbs Random Fields. CVPR 2011: Proceedings of the 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2177–2182. https://doi.org/10.1109/CVPR.2011.5995726
- Steinborn, A., Taut, S., Brendler, V., Geipel, G., & Flach, B. (2008). TRLFS: Analysing Spectra with an Expectation-Maximization (EM) Algorithm. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 71(4), 1425–1432. https://doi.org/10.1016/j.saa.2008.04.018
- Schlesinger, D., & Flach, B. (2006). Transforming an arbitrary MinSum problem into a binary one (TUD-FI06-01; Number TUD-FI06-01). Dresden University of Technology.
- Flach, B., & Schlesinger, D. (2004). Best Labeling Search for a Class of Higher Order Gibbs Models. Journ. f. Pattern Recognition and Image Analysis, 14(2), 249–254.
- Flach, B., Kask, E., Schlesinger, D., & Skulish, A. (2002). Unifying Registration and Segmentation for Multi-Sensor Images. In L. V. Gool (Ed.), Pattern Recognition (Vol. 2449, pp. 190–197). Springer Verlag.
- Schlesinger, M. I., & Flach, B. (2000). Some solvable subclasses of structural recognition problems. In T. Svoboda (Ed.), Czech Pattern Recognition Workshop 2000 (pp. 55–61).