Alexander Shekhovtsov

58 papers A* 10A 2B 1Journal 31Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Multivariate Models with Parametric Conditionals. CoRR Dmitrij Schlesinger, Boris Flach, Alexander Shekhovtsov
2024	A	`conf`	Symmetric Equilibrium Learning of VAEs. AISTATS Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov
2023	A*	`conf`	Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator. ICML Alexander Shekhovtsov
2023	A*	`conf`	Generalized Differentiable RANSAC. ICCV Tong Wei, Yash Patel, Alexander Shekhovtsov, Jirí Matas, Daniel Barath
2023	J	`jnl`	Symmetric Equilibrium Learning of VAEs. CoRR Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov
2022	A*	`conf`	VAE Approximation Error: ELBO and Exponential Families. ICLR Alexander Shekhovtsov, Dmitrij Schlesinger, Boris Flach
2021	—	`conf`	Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators. GCPR Alexander Shekhovtsov
2021	J	`jnl`	Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators. CoRR Alexander Shekhovtsov
2021	—	`conf`	Initialization and Transfer Learning of Stochastic Binary Networks From Real-Valued Ones. CVPR Workshops Anastasiia Livochka, Alexander Shekhovtsov
2021	—	`conf`	Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks. GCPR Alexander Shekhovtsov, Viktor Yanush
2021	J	`jnl`	VAE Approximation Error: ELBO and Conditional Independence. CoRR Dmitrij Schlesinger, Alexander Shekhovtsov, Boris Flach
2020	A*	`conf`	Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. CVPR Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock
2020	J	`jnl`	Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. CoRR Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock
2020	J	`jnl`	MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. CoRR Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2020	A*	`conf`	Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. NeurIPS Alexander Shekhovtsov, Viktor Yanush, Boris Flach
2020	J	`jnl`	Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. CoRR Alexander Shekhovtsov, Viktor Yanush, Boris Flach
2020	J	`jnl`	Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks. CoRR Viktor Yanush, Alexander Shekhovtsov, Dmitry Molchanov, Dmitry P. Vetrov
2020	A	`conf`	Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. AISTATS Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2020	J	`jnl`	Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. CoRR Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2019	—	`conf`	Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers. ICLR (Poster) Alexander Shekhovtsov, Boris Flach
2018	J	`jnl`	Feed-forward Uncertainty Propagation in Belief and Neural Networks. CoRR Alexander Shekhovtsov, Boris Flach, Michal Busta
2018	—	`conf`	MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. ECCV (4) Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2018	J	`jnl`	Maximum Persistency via Iterative Relaxed Inference in Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
2018	J	`jnl`	Normalization of Neural Networks using Analytic Variance Propagation. CoRR Alexander Shekhovtsov, Boris Flach
2018	—	`conf`	Stochastic Normalizations as Bayesian Learning. ACCV (2) Alexander Shekhovtsov, Boris Flach
2018	J	`jnl`	Stochastic Normalizations as Bayesian Learning. CoRR Alexander Shekhovtsov, Boris Flach
2017	A*	`conf`	End-to-End Training of Hybrid CNN-CRF Models for Stereo. CVPR Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock
2017	J	`jnl`	Generative learning for deep networks. CoRR Boris Flach, Alexander Shekhovtsov, Ondrej Fikar
2017	—	`conf`	Scalable Full Flow with Learned Binary Descriptors. GCPR Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter, Thomas Pock
2017	J	`jnl`	Scalable Full Flow with Learned Binary Descriptors. CoRR Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter, Thomas Pock
2016	J	`jnl`	Automated integer programming based separation of arteries and veins from thoracic CT images. Medical Image Anal. Christian Payer, Michael Pienn, Zoltán Bálint, Alexander Shekhovtsov, Emina Talakic, Eszter Nagy, Andrea Olschewski, Horst Olschewski, Martin Urschler
2016	—	`conf`	Complexity of Discrete Energy Minimization Problems. ECCV (2) Mengtian Li, Alexander Shekhovtsov, Daniel Huber
2016	J	`jnl`	Complexity of Discrete Energy Minimization Problems. CoRR Mengtian Li, Alexander Shekhovtsov, Daniel Huber
2016	J	`jnl`	End-to-End Training of Hybrid CNN-CRF Models for Stereo. CoRR Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock
2016	J	`jnl`	Higher order maximum persistency and comparison theorems. Comput. Vis. Image Underst. Alexander Shekhovtsov
2016	—	`conf`	Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. NIPS Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2016	J	`jnl`	Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. CoRR Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
2016	J	`jnl`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
2016	J	`jnl`	Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization. CoRR Alexander Shekhovtsov, Christian Reinbacher, Gottfried Graber, Thomas Pock
2015	J	`jnl`	Higher Order Maximum Persistency and Comparison Theorems. CoRR Alexander Shekhovtsov
2015	J	`jnl`	Maximum Persistency via Iterative Relaxed Inference with Graphical Models. CoRR Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
2015	A*	`conf`	Maximum persistency via iterative relaxed inference with graphical models. CVPR Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
2014	A*	`conf`	Maximum Persistency in Energy Minimization. CVPR Alexander Shekhovtsov
2014	J	`jnl`	Maximum Persistency in Energy Minimization. CoRR Alexander Shekhovtsov
2014	J	`jnl`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
2013	J	`jnl`	A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel. Int. J. Comput. Vis. Alexander Shekhovtsov, Václav Hlavác
2012	—	`conf`	Curvature Prior for MRF-Based Segmentation and Shape Inpainting. DAGM/OAGM Symposium Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother
2011	J	`jnl`	A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel CoRR Alexander Shekhovtsov, Václav Hlavác
2011	—	`conf`	A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel. EMMCVPR Alexander Shekhovtsov, Václav Hlavác
2011	J	`jnl`	Curvature Prior for MRF-based Segmentation and Shape Inpainting CoRR Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother
2011	J	`jnl`	On Partial Opimality by Auxiliary Submodular Problems CoRR Alexander Shekhovtsov, Václav Hlavác
2010	B	`conf`	Joint Image GMM and Shading MAP Estimation. ICPR Alexander Shekhovtsov, Václav Hlavác
2009	—	`conf`	Scalable multi-view stereo. ICCV Workshops Michal Jancosek, Alexander Shekhovtsov, Tomás Pajdla
2008	—	`conf`	A discrete search method for multi-modal non-rigid image registration. CVPR Workshops Alexander Shekhovtsov, Juan D. García-Arteaga, Tomás Werner
2008	J	`jnl`	Efficient MRF deformation model for non-rigid image matching. Comput. Vis. Image Underst. Alexander Shekhovtsov, Ivan Kovtun, Václav Hlavác
2008	A*	`conf`	On partial optimality in multi-label MRFs. ICML Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov, Philip H. S. Torr
2007	A*	`conf`	Efficient MRF Deformation Model for Non-Rigid Image Matching. CVPR Alexander Shekhovtsov, Ivan Kovtun, Václav Hlavác
2004	—	`conf`	A Higher Order MRF-Model for Stereo-Reconstruction. DAGM-Symposium Dmitrij Schlesinger, Boris Flach, Alexander Shekhovtsov