Kirill Struminsky
6 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
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Research topics
Keywords
learning theory
(1)
image generation
(1)
approximate inference
(1)
black-box optimization
(1)
variational inference
(1)
bayesian inference
(1)
volume sampling
(1)
sample complexity
(1)
causal structure learning
(1)
gradient estimation
(1)
texture synthesis
(1)
monte carlo estimation
(1)
multi-class classification
(1)
variance reduction
(1)
generative model
(1)
diffusion model
(1)
convolutional neural network
(1)
control variate
(1)
differentiable rendering
(1)
neural radiance field
(1)
Papers
CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shading
WACV 2026
Differentiable Rendering with Reparameterized Volume Sampling
AISTATS 2024
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
NeurIPS 2021
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution
AAAI 2020
The Deep Weight Prior
ICLR 2019
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
NeurIPS 2018