Kirill Struminsky

15 papers A* 3A 1Misc 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shading. CoRR Mishan Aliev, Dmitry Baranchuk, Kirill Struminsky
2025	J	`jnl`	MADrive: Memory-Augmented Driving Scene Modeling. CoRR Polina Karpikova, Daniil Selikhanovych, Kirill Struminsky, Ruslan Musaev, Maria Golitsyna, Dmitry Baranchuk
2024	A	`conf`	Differentiable Rendering with Reparameterized Volume Sampling. AISTATS Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry P. Vetrov, Kirill Struminsky
2023	J	`jnl`	Differentiable Rendering with Reparameterized Volume Sampling. CoRR Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry P. Vetrov, Kirill Struminsky
2021	A*	`conf`	Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces. NeurIPS Kirill Struminsky, Artyom Gadetsky, Denis Rakitin, Danil Karpushkin, Dmitry P. Vetrov
2021	J	`jnl`	Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces. CoRR Kirill Struminsky, Artyom Gadetsky, Denis Rakitin, Danil Karpushkin, Dmitry P. Vetrov
2020	A*	`conf`	Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution. AAAI Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov
2019	Misc	`conf`	A Simple Method to Evaluate Support Size and Non-uniformity of a Decoder-Based Generative Model. AIST Kirill Struminsky, Dmitry P. Vetrov
2019	J	`jnl`	Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution. CoRR Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov
2019	—	`conf`	The Deep Weight Prior. ICLR (Poster) Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling
2018	A*	`conf`	Quantifying Learning Guarantees for Convex but Inconsistent Surrogates. NeurIPS Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin
2018	J	`jnl`	Quantifying Learning Guarantees for Convex but Inconsistent Surrogates. CoRR Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin
2018	J	`jnl`	The Deep Weight Prior. Modeling a prior distribution for CNNs using generative models. CoRR Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling
2016	—	`conf`	A new approach for sparse Bayesian channel estimation in SCMA uplink systems. WCSP Kirill Struminsky, Stanislav Kruglik, Dmitry P. Vetrov, Ivan V. Oseledets
2016	J	`jnl`	Robust Variational Inference. CoRR Michael Figurnov, Kirill Struminsky, Dmitry P. Vetrov