Variational Dropout Sparsifies Deep Neural Networks. - Dmitry Molchanov; Arsenii Ashukha; Dmitry P. Vetrov (ICML, 2017)

Structured Bayesian Pruning via Log-Normal Multiplicative Noise. - Kirill Neklyudov; Dmitry Molchanov; Arsenii Ashukha; Dmitry P. Vetrov (NIPS, 2017)

Uncertainty Estimation via Stochastic Batch Normalization. - Andrei Atanov; Arsenii Ashukha; Dmitry Molchanov; Kirill Neklyudov; Dmitry P. Vetrov (ICLR (Workshop), 2018)

Bayesian Incremental Learning for Deep Neural Networks. - Max Kochurov; Timur Garipov; Dmitry Podoprikhin; Dmitry Molchanov; Arsenii Ashukha; Dmitry P. Vetrov (ICLR (Workshop), 2018)

The Deep Weight Prior. Modeling a prior distribution for CNNs using generative models. - Andrei Atanov; Arsenii Ashukha; Kirill Struminsky; Dmitry P. Vetrov; Max Welling (CoRR, 2018)

The Deep Weight Prior. - Andrei Atanov; Arsenii Ashukha; Kirill Struminsky; Dmitry P. Vetrov; Max Welling (ICLR (Poster), 2019)

Variance Networks: When Expectation Does Not Meet Your Expectations. - Kirill Neklyudov; Dmitry Molchanov; Arsenii Ashukha; Dmitry P. Vetrov (ICLR (Poster), 2019)

Semi-Conditional Normalizing Flows for Semi-Supervised Learning. - Andrei Atanov; Alexandra Volokhova; Arsenii Ashukha; Ivan Sosnovik; Dmitry P. Vetrov (CoRR, 2019)

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

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

Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations. - Arsenii Ashukha; Andrei Atanov; Dmitry P. Vetrov (CoRR, 2021)

Automating Control of Overestimation Bias for Continuous Reinforcement Learning. - Arsenii Kuznetsov; Alexander Grishin; Artem Tsypin; Arsenii Ashukha; Dmitry P. Vetrov (CoRR, 2021)

Resolution-robust Large Mask Inpainting with Fourier Convolutions. - Roman Suvorov; Elizaveta Logacheva; Anton Mashikhin; Anastasia Remizova; Arsenii Ashukha; Aleksei Silvestrov; Naejin Kong; Harshith Goka; Kiwoong Park; Victor Lempitsky (WACV, 2022)