Signal Processing and Speech Communication Laboratory
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Sebastian Tschiatschek

Profile Picture Sebastian Tschiatschek
PhD Theses
Publications
  • Journal article Roth W., Schindler G., Klein B., Peharz R., Tschiatschek S., Fröning H., Pernkopf F. & Ghaharamani Z. (2024) Resource-Efficient Neural Networks for Embedded Systems. in Journal of Machine Learning Research, 25. [more info]
  • Technical report Roth W., Schindler G., Zöhrer M., Pfeifenberger L., Peharz R., Tschiatschek S., Fröning H., Pernkopf F. & Ghahramani Z. (2019) Resource-Efficient Neural Networks for Embedded Systems.. [more info]
  • Preprint Ratajczak M., Tschiatschek S. & Pernkopf F. (2018) Sum-Product Networks for Structured Prediction.. [more info]
  • Journal article Roth W., Peharz R., Tschiatschek S. & Pernkopf F. (2018) Hybrid generative-discriminative training of Gaussian mixture models. in Pattern Recognition Letters , 112, p. 131-137. [more info] [doi]
  • Conference paper Ratajczak M., Tschiatschek S. & Pernkopf F. (2017) Frame and Segment Level Recurrent Neural Networks for Phone Classification.. [more info]
  • Conference paper Ratajczak M., Tschiatschek S. & Pernkopf F. (2016) Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification.. [more info]
  • Conference paper Knoll C., Rath M., Tschiatschek S. & Pernkopf F. (2015) Message Scheduling Methods for Belief Propagation. in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016 (pp. 295). [more info] [doi]
  • Conference paper Tschiatschek S. & Pernkopf F. (2015) Learning of Bayesian Network Classifiers Under Computational Constraints. (pp. x-x). [more info]
  • Conference paper Ratajczak M., Tschiatschek S. & Pernkopf F. (2015) Structured Regularizer for Neural Higher-Order Sequence Models. (pp. x-x). [more info]
  • Conference paper Ratajczak M., Tschiatschek S. & Pernkopf F. (2015) Neural Higher-Order Factors in Conditional Random Fields for Phoneme Classification. (pp. x-x). [more info]
  • Conference paper Peharz R., Tschiatschek S., Pernkopf F. & Domingos P. (2015) On theoretical properties of sum-product networks. (pp. X-x). [more info]
  • Conference paper Tschiatschek S. & Pernkopf F. (2015) Generatively Optimized Bayesian Network Classifiers Under Computational Constraints. (pp. x-x). [more info]
  • Journal article Tschiatschek S. & Pernkopf F. (2015) On Bayesian Network Classifiers with Reduced Precision Parameters. in IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(4), p. 774-785. [more info] [doi]
  • Conference paper Tschiatschek S., Paul K. & Pernkopf F. (2014) Integer Bayesian Networks. (pp. x-x). [more info]
  • Conference paper Ratajczak M., Tschiatschek S. & Pernkopf F. (2014) Context-Specic Deep Conditional Random Fields for Structured Prediction. (pp. 1-8). [more info]
  • Chapter Pernkopf F., Peharz R. & Tschiatschek S. (2014) Introduction to Probabilistic Graphical Models. . [more info]
  • Conference paper Tschiatschek S. & Pernkopf F. (2013) On the Asymptotic Optimality of Maximum Margin Bayesian Networks. in International Conference on Artificial Intelligence and Statistics (pp. 590-598). [more info]
  • Conference paper Peharz R., Tschiatschek S. & Pernkopf F. (2013) The Most Generative Maximum Margin Bayesian Networks. (pp. 235-243). [more info]
  • Conference paper Tschiatschek S., Chacon C. & Pernkopf F. (2013) Bound for Bayesian Network Classifiers with Reduced Precision Parameters. (pp. 3357 -3361). [more info]
  • Conference paper Tschiatschek S., Reinprecht P., Mücke M., Pernkopf F. & Mücke M. (2012) Discriminative Bayesian Network Classiers with Reduced Precision Parameters. (pp. 74-89). [more info]
  • Conference paper Tschiatschek S., Mutsam N. & Pernkopf F. (2012) Handling Missing Features in Maximum Margin Bayesian Network Classifiers. (pp. X-X). [more info]
  • Journal article Pernkopf F., Wohlmayr M. & Tschiatschek S. (2012) Maximum Margin Bayesian Network Classifiers. in IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(3), p. 521-532. [more info] [doi]
  • Conference paper Tschiatschek S. & Pernkopf F. (2012) Convex Combinations of Maximum Margin Bayesian Network Classifiers.. [more info]