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Dmitry Molchanov

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

10

Venues

7

Active years

2017–2025

Best venue rank

A*

Where they publish

Papers

10 indexed papers, newest first.

YearVenueTitleAuthors
2025AAAITEncDM: 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
2024KIStar-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract).Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry P. Vetrov
2020ICLRPitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning.Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry P. Vetrov
2020UAIGreedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation.Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha, Dmitry Molchanov, Dmitry P. Vetrov
2019AISTATSDoubly Semi-Implicit Variational Inference.Dmitry Molchanov, Valery Kharitonov, Artem Sobolev, Dmitry P. Vetrov
2019ICLRVariance Networks: When Expectation Does Not Meet Your Expectations.Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov
2019ISNNUncertainty Estimation via Stochastic Batch Normalization.Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov
2018ICLRUncertainty Estimation via Stochastic Batch Normalization.Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov
2018ICLRBayesian Incremental Learning for Deep Neural Networks.Max Kochurov, Timur Garipov, Dmitry Podoprikhin, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov
2017ICMLVariational Dropout Sparsifies Deep Neural Networks.Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov