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Boris Flach
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2020 – today
- 2024
- [c18]Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov:
Symmetric Equilibrium Learning of VAEs. AISTATS 2024: 3214-3222 - 2023
- [i10]Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov:
Symmetric Equilibrium Learning of VAEs. CoRR abs/2307.09883 (2023) - 2022
- [c17]Alexander Shekhovtsov, Dmitrij Schlesinger, Boris Flach:
VAE Approximation Error: ELBO and Exponential Families. ICLR 2022 - 2021
- [i9]Dmitrij Schlesinger, Alexander Shekhovtsov, Boris Flach:
VAE Approximation Error: ELBO and Conditional Independence. CoRR abs/2102.09310 (2021) - 2020
- [j3]Tomás Sixta, Jiahui Cao, Jochen Seebach, Hans Schnittler, Boris Flach:
Coupling cell detection and tracking by temporal feedback. Mach. Vis. Appl. 31(4): 24 (2020) - [c16]Alexander Shekhovtsov, Viktor Yanush, Boris Flach:
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. NeurIPS 2020 - [i8]Alexander Shekhovtsov, Viktor Yanush, Boris Flach:
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. CoRR abs/2006.03143 (2020)
2010 – 2019
- 2019
- [c15]Alexander Shekhovtsov, Boris Flach:
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers. ICLR (Poster) 2019 - 2018
- [c14]Alexander Shekhovtsov, Boris Flach:
Stochastic Normalizations as Bayesian Learning. ACCV (2) 2018: 463-479 - [i7]Alexander Shekhovtsov, Boris Flach:
Normalization of Neural Networks using Analytic Variance Propagation. CoRR abs/1803.10560 (2018) - [i6]Alexander Shekhovtsov, Boris Flach, Michal Busta:
Feed-forward Uncertainty Propagation in Belief and Neural Networks. CoRR abs/1803.10590 (2018) - [i5]Alexander Shekhovtsov, Boris Flach:
Stochastic Normalizations as Bayesian Learning. CoRR abs/1811.00639 (2018) - 2017
- [i4]Boris Flach, Alexander Shekhovtsov, Ondrej Fikar:
Generative learning for deep networks. CoRR abs/1709.08524 (2017) - 2016
- [c13]Tomás Sixta, Boris Flach:
Multiple Object Segmentation and Tracking by Bayes Risk Minimization. MICCAI (2) 2016: 607-615 - 2015
- [c12]Boris Flach, Archibald Pontier:
Joint Segmentation and Registration Through the Duality of Congealing and Maximum Likelihood Estimate. IPMI 2015: 351-362 - 2014
- [r2]Boris Flach, Václav Hlavác:
Dynamic Programming. Computer Vision, A Reference Guide 2014: 229-230 - [r1]Boris Flach, Václav Hlavác:
Expectation Maximization Algorithm. Computer Vision, A Reference Guide 2014: 265-268 - [i3]Michail I. Schlesinger, Boris Flach, Evgeniy Vodolazskiy:
M-best solutions for a class of fuzzy constraint satisfaction problems. CoRR abs/1407.6166 (2014) - 2013
- [j2]Boris Flach:
A Class of Random Fields on Complete Graphs with Tractable Partition Function. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2304-2306 (2013) - [c11]Boris Flach, Tomás Sixta:
Unsupervised (parameter) learning for MRFs on bipartite graphs. BMVC 2013 - 2012
- [i2]Boris Flach:
A class of random fields on complete graphs with tractable partition function. CoRR abs/1212.2136 (2012) - 2011
- [c10]Boris Flach, Dmitrij Schlesinger:
Modelling composite shapes by Gibbs random fields. CVPR 2011: 2177-2182 - [i1]Boris Flach, Dmitrij Schlesinger:
Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order. CoRR abs/1107.2807 (2011)
2000 – 2009
- 2008
- [c9]Dmitrij Schlesinger, Boris Flach:
A Probabilistic Segmentation Scheme. DAGM-Symposium 2008: 183-192 - [c8]Boris Flach, Dmitrij Schlesinger:
Combining Shape Priors and MRF-Segmentation. SSPR/SPR 2008: 177-186 - 2006
- [e1]Ralf Reulke, Ulrich Eckardt, Boris Flach, Uwe Knauer, Konrad Polthier:
Combinatorial Image Analysis, 11th International Workshop, IWCIA 2006, Berlin, Germany, June 19-21, 2006, Proceedings. Lecture Notes in Computer Science 4040, Springer 2006, ISBN 3-540-35153-1 [contents] - 2004
- [c7]Dmitrij Schlesinger, Boris Flach, Alexander Shekhovtsov:
A Higher Order MRF-Model for Stereo-Reconstruction. DAGM-Symposium 2004: 440-446 - [c6]Boris Flach, Radim Sára:
Joint Non-rigid Motion Estimation and Segmentation. IWCIA 2004: 631-638 - 2002
- [c5]Boris Flach, Eeri Kask, Dmitrij Schlesinger, Andriy Skulish:
Unifying Registration and Segmentation for Multi-sensor Images. DAGM-Symposium 2002: 190-197 - 2000
- [c4]Boris Flach, Michail I. Schlesinger:
A Class of Solvable Consistent Labeling Problems. SSPR/SPR 2000: 462-471
1990 – 1999
- 1996
- [c3]C. Brock, Boris Flach, Eeri Kask, R. Osterland:
Objektsegmentierung durch Textur- und Randextraktion. DAGM-Symposium 1996: 55-62 - 1995
- [j1]Frank K. H. A. Dehne, Jörg-Rüdiger Sack, Natana Valiveti, Boris Flach:
Analog Parallel Algorithms for Computational Geometry. Parallel Algorithms Appl. 5(1-2): 1-14 (1995) - 1993
- [c2]Boris Flach, Eeri Kask, R. Osterland:
Neuronales Sysem zur Objektsegmentierung in der Mikrostrukturvermessung. DAGM-Symposium 1993: 624-630 - 1992
- [c1]Boris Flach, H. Guth, R. Osterland:
Lokale Neuronale Filter. DAGM-Symposium 1992: 323-328
Coauthor Index
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