Molchanov, Dmitry

8 publications

AAAI 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

NeurIPS 2023 Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin, Dmitry Molchanov, Arkhipkin Vladimir, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry P Vetrov

UAI 2020 Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha, Dmitry Molchanov, Dmitry Vetrov

ICLR 2020 Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry Vetrov

AISTATS 2019 Doubly Semi-Implicit Variational Inference Dmitry Molchanov, Valery Kharitonov, Artem Sobolev, Dmitry Vetrov

ICLR 2019 Variance Networks: When Expectation Does Not Meet Your Expectations Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov

NeurIPS 2017 Structured Bayesian Pruning via Log-Normal Multiplicative Noise Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry P Vetrov

ICML 2017 Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov