Kirill Struminsky

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Expectation Propagation

Variational Inference

Prior Distribution

Latent Variables

Top Venues

Publications

Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry P. Vetrov, Kirill Struminsky
Differentiable Rendering with Reparameterized Volume Sampling. AISTATS (2024)
Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry P. Vetrov, Kirill Struminsky
Differentiable Rendering with Reparameterized Volume Sampling. CoRR (2023)
Kirill Struminsky, Artyom Gadetsky, Denis Rakitin, Danil Karpushkin, Dmitry P. Vetrov
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces. NeurIPS (2021)
Kirill Struminsky, Artyom Gadetsky, Denis Rakitin, Danil Karpushkin, Dmitry P. Vetrov
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces. CoRR (2021)
Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution. AAAI (2020)
Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling
The Deep Weight Prior. ICLR (Poster) (2019)
Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov
Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution. CoRR (2019)
Kirill Struminsky, Dmitry P. Vetrov
A Simple Method to Evaluate Support Size and Non-uniformity of a Decoder-Based Generative Model. AIST (2019)
Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling
The Deep Weight Prior. Modeling a prior distribution for CNNs using generative models. CoRR (2018)
Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates. CoRR (2018)
Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates. NeurIPS (2018)
Michael Figurnov, Kirill Struminsky, Dmitry P. Vetrov
Robust Variational Inference. CoRR (2016)
Kirill Struminsky, Stanislav Kruglik, Dmitry P. Vetrov, Ivan V. Oseledets
A new approach for sparse Bayesian channel estimation in SCMA uplink systems. WCSP (2016)