Grigory Bartosh

According to our database, Grigory Bartosh authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations.

Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth

CoRR, February, 2025

TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings.

Alexander Shabalin, Viacheslav Meshchaninov, Egor Chimbulatov, Vladislav Lapikov, Roman Kim, Grigory Bartosh, Dmitry Molchanov, Sergey Markov, Dmitry P. Vetrov

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

TEncDM: Understanding the Properties of Diffusion Model in the Space of Language Model Encodings.

Alexander Shabalin, Viacheslav Meshchaninov, Tingir Badmaev, Dmitry Molchanov, Grigory Bartosh, Sergey Markov, Dmitry P. Vetrov

CoRR, 2024

Variational Flow Matching for Graph Generation.

Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, Max Welling, Jan-Willem van de Meent

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Equivariant Neural Diffusion for Molecule Generation.

François Cornet, Grigory Bartosh, Mikkel N. Schmidt, Christian Andersson Naesseth

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling.

Grigory Bartosh, Dmitry P. Vetrov, Christian Andersson Naesseth

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract).

Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry P. Vetrov

Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

Neural Diffusion Models.

Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Star-Shaped Denoising Diffusion Probabilistic Models.

Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Aibek Alanov, Dmitry P. Vetrov

CoRR, 2023

Star-Shaped Denoising Diffusion Probabilistic Models.

Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry P. Vetrov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023