Boris Flach

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 15

Top Topics

Dempster Shafer

Variational Bayesian Learning

Conditional Independence

Probabilistic Neural Networks

Top Venues

Publications

Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov
Symmetric Equilibrium Learning of VAEs. AISTATS (2024)
Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov
Symmetric Equilibrium Learning of VAEs. CoRR (2023)
Alexander Shekhovtsov, Dmitrij Schlesinger, Boris Flach
VAE Approximation Error: ELBO and Exponential Families. ICLR (2022)
Dmitrij Schlesinger, Alexander Shekhovtsov, Boris Flach
VAE Approximation Error: ELBO and Conditional Independence. CoRR (2021)
Tomás Sixta, Jiahui Cao, Jochen Seebach, Hans Schnittler, Boris Flach
Coupling cell detection and tracking by temporal feedback. Mach. Vis. Appl. 31 (4) (2020)
Alexander Shekhovtsov, Viktor Yanush, Boris Flach
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. NeurIPS (2020)
Alexander Shekhovtsov, Viktor Yanush, Boris Flach
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. CoRR (2020)
Alexander Shekhovtsov, Boris Flach
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers. ICLR (Poster) (2019)
Alexander Shekhovtsov, Boris Flach
Stochastic Normalizations as Bayesian Learning. CoRR (2018)
Alexander Shekhovtsov, Boris Flach, Michal Busta
Feed-forward Uncertainty Propagation in Belief and Neural Networks. CoRR (2018)
Alexander Shekhovtsov, Boris Flach
Stochastic Normalizations as Bayesian Learning. ACCV (2) (2018)
Alexander Shekhovtsov, Boris Flach
Normalization of Neural Networks using Analytic Variance Propagation. CoRR (2018)
Boris Flach, Alexander Shekhovtsov, Ondrej Fikar
Generative learning for deep networks. CoRR (2017)
Tomás Sixta, Boris Flach
Multiple Object Segmentation and Tracking by Bayes Risk Minimization. MICCAI (2) (2016)
Boris Flach, Archibald Pontier
Joint Segmentation and Registration Through the Duality of Congealing and Maximum Likelihood Estimate. IPMI (2015)
Michail I. Schlesinger, Boris Flach, Evgeniy Vodolazskiy
M-best solutions for a class of fuzzy constraint satisfaction problems. CoRR (2014)
Boris Flach, Tomás Sixta
Unsupervised (parameter) learning for MRFs on bipartite graphs. BMVC (2013)
Boris Flach
A Class of Random Fields on Complete Graphs with Tractable Partition Function. IEEE Trans. Pattern Anal. Mach. Intell. 35 (9) (2013)
Boris Flach
A class of random fields on complete graphs with tractable partition function CoRR (2012)
Boris Flach, Dmitrij Schlesinger
Modelling composite shapes by Gibbs random fields. CVPR (2011)
Boris Flach, Dmitrij Schlesinger
Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order CoRR (2011)
Boris Flach, Dmitrij Schlesinger
Combining Shape Priors and MRF-Segmentation. SSPR/SPR (2008)
Dmitrij Schlesinger, Boris Flach
A Probabilistic Segmentation Scheme. DAGM-Symposium (2008)
Boris Flach, Radim Sára
Joint Non-rigid Motion Estimation and Segmentation. IWCIA (2004)
Dmitrij Schlesinger, Boris Flach, Alexander Shekhovtsov
A Higher Order MRF-Model for Stereo-Reconstruction. DAGM-Symposium (2004)
Boris Flach, Eeri Kask, Dmitrij Schlesinger, Andriy Skulish
Unifying Registration and Segmentation for Multi-sensor Images. DAGM-Symposium (2002)
Boris Flach, Michail I. Schlesinger
A Class of Solvable Consistent Labeling Problems. SSPR/SPR (2000)
C. Brock, Boris Flach, Eeri Kask, R. Osterland
Objektsegmentierung durch Textur- und Randextraktion. DAGM-Symposium (1996)
Frank K. H. A. Dehne, Jörg-Rüdiger Sack, Natana Valiveti, Boris Flach
Analog Parallel Algorithms for Computational Geometry. Parallel Algorithms Appl. 5 (1-2) (1995)
Boris Flach, Eeri Kask, R. Osterland
Neuronales Sysem zur Objektsegmentierung in der Mikrostrukturvermessung. DAGM-Symposium (1993)
Boris Flach, H. Guth, R. Osterland
Lokale Neuronale Filter. DAGM-Symposium (1992)