Bartosh, Grigory
- Variational Flow Matching for Graph Generation
2024/06/07 by Floor Eijkelboom, Grigory Bartosh, Eijkelboom, Floor +8 · 1 voice · 15 citations
Computer Science · #Data Stream Mining Techniques #Reinforcement Learning in Robotics #Artificial Intelligence in Games
- Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
2024/04/19 by Grigory Bartosh, Bartosh, Grigory, Dmitry Vetrov +3 · 11 citations
Physics and Astronomy · #Model Reduction and Neural Networks
- SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
2025/02/04 by Grigory Bartosh, Dmitry Vetrov, Bartosh, Grigory +3 · 2 voices · 6 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #Bayesian Modeling and Causal Inference
- Star-Shaped Denoising Diffusion Probabilistic Models
2023/02/10 by Andrey Okhotin, Okhotin, Andrey, Dmitry Molchanov +10 · 5 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Bayesian Methods and Mixture Models #Machine Learning in Healthcare
- TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings
2024/02/29 by Shabalin, Alexander, Meshchaninov, Viacheslav, Chimbulatov, Egor +6 · 6 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2 #I.7
- Neural Diffusion Models
2023/10/12 by Bartosh, Grigory, Vetrov, Dmitry, Naesseth, Christian A. · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Equivariant Neural Diffusion for Molecule Generation
2025/06/12 by Cornet, François, Bartosh, Grigory, Schmidt, Mikkel N. +1 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)