Grigory Bartosh

17 papers A* 7Misc 1Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Towards Latent Diffusion Suitable For Text.
CoRR
Nesta Midavaine, Christian A. Naesseth, Grigory Bartosh
2025 J jnl
Equivariant Neural Diffusion for Molecule Generation.
CoRR
François R. J. Cornet, Grigory Bartosh, Mikkel N. Schmidt, Christian A. Naesseth
2025 J jnl
Purrception: Variational Flow Matching for Vector-Quantized Image Generation.
CoRR
Razvan-Andrei Matisan, Vincent Tao Hu, Grigory Bartosh, Björn Ommer, Cees G. M. Snoek, Max Welling, Jan-Willem van de Meent, Mohammad Mahdi Derakhshani, Floor Eijkelboom
2025 A* conf
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations.
ICML
Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
2025 J jnl
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations.
CoRR
Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
2025 A* conf
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings.
AAAI
Alexander Shabalin, Viacheslav Meshchaninov, Egor Chimbulatov, Vladislav Lapikov, Roman Kim, Grigory Bartosh, Dmitry Molchanov, Sergey Markov, Dmitry P. Vetrov
2024 A* conf
Equivariant Neural Diffusion for Molecule Generation.
NeurIPS
François R. J. Cornet, Grigory Bartosh, Mikkel N. Schmidt, Christian Andersson Naesseth
2024 A* conf
Neural Diffusion Models.
ICML
Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
2024 A* conf
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling.
NeurIPS
Grigory Bartosh, Dmitry P. Vetrov, Christian Andersson Naesseth
2024 J jnl
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling.
CoRR
Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
2024 Misc conf
Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract).
KI
Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry P. Vetrov
2024 J jnl
TEncDM: Understanding the Properties of Diffusion Model in the Space of Language Model Encodings.
CoRR
Alexander Shabalin, Viacheslav Meshchaninov, Tingir Badmaev, Dmitry Molchanov, Grigory Bartosh, Sergey Markov, Dmitry P. Vetrov
2024 A* conf
Variational Flow Matching for Graph Generation.
NeurIPS
Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, Max Welling, Jan-Willem van de Meent
2024 J jnl
Variational Flow Matching for Graph Generation.
CoRR
Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, Max Welling, Jan-Willem van de Meent
2023 J jnl
Neural Diffusion Models.
CoRR
Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
2023 A* conf
Star-Shaped Denoising Diffusion Probabilistic Models.
NeurIPS
Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry P. Vetrov
2023 J jnl
Star-Shaped Denoising Diffusion Probabilistic Models.
CoRR
Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Aibek Alanov, Dmitry P. Vetrov