Alexander Shekhovtsov
13 papers · 2014–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(28)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(53)
π
Century Club
(13)
π
Trend Setter
π₯
Unstoppable
(7)
π
Conference Pioneer
Conferences
CVPR (4)
AISTATS (2)
ICLR (2)
NIPS (2)
ECCV (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
graphical model
(5)
map inference
(3)
combinatorial optimization
(3)
gradient estimation
(2)
latent variable model
(2)
variance reduction
(2)
label assignment
(2)
convolutional neural network
(2)
straight-through estimator
(2)
sampling distribution
(1)
differentiable programming
(1)
semi-supervised learning
(1)
robust estimation
(1)
stereo matching
(1)
linear programming
(1)
constraint satisfaction
(1)
energy minimization
(1)
generative model
(1)
parametric optimization
(1)
submodular minimization
(1)
Papers
Symmetric Equilibrium Learning of VAEs
AISTATS 2024
Generalized Differentiable RANSAC
ICCV 2023
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator
ICML 2023
VAE Approximation Error: ELBO and Exponential Families
ICLR 2022
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks
NIPS 2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
CVPR 2020
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization
AISTATS 2020
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers
ICLR 2019
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models
ECCV 2018
End-To-End Training of Hybrid CNN-CRF Models for Stereo
CVPR 2017
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
NIPS 2016
Maximum Persistency via Iterative Relaxed Inference With Graphical Models
CVPR 2015
Maximum Persistency in Energy Minimization
CVPR 2014