Kirill Struminsky
6 papers · 2018–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (8) π Cross-Pollinator (6) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(17)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
Conferences
NIPS (2)
AAAI (1)
AISTATS (1)
ICLR (1)
WACV (1)
Top co-authors
Keywords
learning theory
(1)
image generation
(1)
approximate inference
(1)
black-box optimization
(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)
diffusion model
(1)
control variate
(1)
differentiable rendering
(1)
neural radiance field
(1)
score distillation sampling
(1)
view synthesis
(1)
combinatorial space
(1)
monte carlo estimate
(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
NIPS 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
NIPS 2018