Dmitry P. Vetrov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
54
Venues
20
Active years
2004–2026
Best venue rank
A*
Where they publish
Papers
54 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion. | Evgeniia Vu, Andrei Boiarov, Dmitry P. Vetrov |
| 2025 | AAAI | 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 |
| 2025 | ICML | SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations. | Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth |
| 2025 | ICML | Diffusion on Language Model Encodings for Protein Sequence Generation. | Viacheslav Meshchaninov, Pavel V. Strashnov, Andrey Shevtsov, Fedor Nikolaev, Nikita Ivanisenko, Olga L. Kardymon, Dmitry P. Vetrov |
| 2024 | AISTATS | Differentiable Rendering with Reparameterized Volume Sampling. | Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry P. Vetrov, Kirill Struminsky |
| 2024 | AISTATS | Generative Flow Networks as Entropy-Regularized RL. | Daniil Tiapkin, Nikita Morozov, Alexey Naumov, Dmitry P. Vetrov |
| 2024 | CVPR | The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing. | Denis Bobkov, Vadim Titov, Aibek Alanov, Dmitry P. Vetrov |
| 2024 | ECCV | Guide-and-Rescale: Self-guidance Mechanism for Effective Tuning-Free Real Image Editing. | Vadim Titov, Madina Khalmatova, Alexandra Ivanova, Dmitry P. Vetrov, Aibek Alanov |
| 2024 | ICLR | Gradual Optimization Learning for Conformational Energy Minimization. | Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin |
| 2024 | ICML | Neural Diffusion Models. | Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth |
| 2024 | KI | Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract). | Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry P. Vetrov |
| 2023 | AISTATS | MARS: Masked Automatic Ranks Selection in Tensor Decompositions. | Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov |
| 2023 | ICASSP | HIFI++: A Unified Framework for Bandwidth Extension and Speech Enhancement. | Pavel Andreev, Aibek Alanov, Oleg Ivanov, Dmitry P. Vetrov |
| 2023 | ICCV | StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation. | Aibek Alanov, Vadim Titov, Maksim Nakhodnov, Dmitry P. Vetrov |
| 2023 | Interspeech | UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model. | Anastasiia Iashchenko, Pavel Andreev, Ivan Shchekotov, Nicholas Babaev, Dmitry P. Vetrov |
| 2022 | Interspeech | FFC-SE: Fast Fourier Convolution for Speech Enhancement. | Ivan Shchekotov, Pavel K. Andreev, Oleg Ivanov, Aibek Alanov, Dmitry P. Vetrov |
| 2020 | AAAI | Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution. | Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov |
| 2020 | AAAI | Structured Sparsification of Gated Recurrent Neural Networks. | Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry P. Vetrov |
| 2020 | AISTATS | Deterministic Decoding for Discrete Data in Variational Autoencoders. | Daniil Polykovskiy, Dmitry P. Vetrov |
| 2020 | ICLR | Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning. | Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry P. Vetrov |
| 2020 | ICML | Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics. | Arsenii Kuznetsov, Pavel Shvechikov, Alexander Grishin, Dmitry P. Vetrov |
| 2020 | ICML | Involutive MCMC: a Unifying Framework. | Kirill Neklyudov, Max Welling, Evgenii Egorov, Dmitry P. Vetrov |
| 2020 | UAI | Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation. | Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha, Dmitry Molchanov, Dmitry P. Vetrov |
| 2019 | AIST | A Simple Method to Evaluate Support Size and Non-uniformity of a Decoder-Based Generative Model. | Kirill Struminsky, Dmitry P. Vetrov |
| 2019 | AISTATS | Doubly Semi-Implicit Variational Inference. | Dmitry Molchanov, Valery Kharitonov, Artem Sobolev, Dmitry P. Vetrov |
| 2019 | ICLR | The Deep Weight Prior. | Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling |
| 2019 | ICLR | Variational Autoencoder with Arbitrary Conditioning. | Oleg Ivanov, Michael Figurnov, Dmitry P. Vetrov |
| 2019 | ICLR | Variance Networks: When Expectation Does Not Meet Your Expectations. | Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov |
| 2019 | ISNN | Uncertainty Estimation via Stochastic Batch Normalization. | Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov |
| 2019 | UAI | Subspace Inference for Bayesian Deep Learning. | Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson |
| 2018 | ACL | Conditional Generators of Words Definitions. | Artyom Gadetsky, Ilya Yakubovskiy, Dmitry P. Vetrov |
| 2018 | ACML | ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. | Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov |
| 2018 | AISTATS | Few-shot Generative Modelling with Generative Matching Networks. | Sergey Bartunov, Dmitry P. Vetrov |
| 2018 | EMNLP | Bayesian Compression for Natural Language Processing. | Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov |
| 2018 | ICLR | Uncertainty Estimation via Stochastic Batch Normalization. | Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov |
| 2018 | ICLR | Bayesian Incremental Learning for Deep Neural Networks. | Max Kochurov, Timur Garipov, Dmitry Podoprikhin, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov |
| 2018 | UAI | Averaging Weights Leads to Wider Optima and Better Generalization. | Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson |
| 2017 | CVPR | Spatially Adaptive Computation Time for Residual Networks. | Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov |
| 2017 | ICLR | Fast Adaptation in Generative Models with Generative Matching Networks. | Sergey Bartunov, Dmitry P. Vetrov |
| 2017 | ICML | Variational Dropout Sparsifies Deep Neural Networks. | Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov |
| 2016 | AISTATS | Breaking Sticks and Ambiguities with Adaptive Skip-gram. | Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin, Dmitry P. Vetrov |
| 2016 | BMVC | Deep Part-Based Generative Shape Model with Latent Variables. | Alexander Kirillov, Mikhail Gavrikov, Ekaterina Lobacheva, Anton Osokin, Dmitry P. Vetrov |
| 2015 | ICCV | Inferring M-Best Diverse Labelings in a Single One. | Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry P. Vetrov, Carsten Rother |
| 2014 | ICML | Variational Inference for Sequential Distance Dependent Chinese Restaurant Process. | Sergey Bartunov, Dmitry P. Vetrov |
| 2014 | ICML | Putting MRFs on a Tensor Train. | Alexander Novikov, Anton Rodomanov, Anton Osokin, Dmitry P. Vetrov |
| 2013 | CVPR | Spatial Inference Machines. | Roman Shapovalov, Dmitry P. Vetrov, Pushmeet Kohli |
| 2012 | ECCV | Submodular Relaxation for MRFs with High-Order Potentials. | Anton Osokin, Dmitry P. Vetrov |
| 2011 | CVPR | Submodular decomposition framework for inference in associative Markov networks with global constraints. | Anton Osokin, Dmitry P. Vetrov, Vladimir Kolmogorov |
| 2007 | ICML | On one method of non-diagonal regularization in sparse Bayesian learning. | Dmitry Kropotov, Dmitry P. Vetrov |
| 2006 | ICONIP | The Use of Stability Principle for Kernel Determination in Relevance Vector Machines. | Dmitry Kropotov, Dmitry P. Vetrov, Nikita Ptashko, Oleg Vasiliev |
| 2006 | ICPR | On Kernel Selection in Relevance Vector Machines Using Stability Principle. | Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dmitry P. Vetrov |
| 2005 | CIARP | The Use of Bayesian Framework for Kernel Selection in Vector Machines Classifiers. | Dmitry Kropotov, Nikita Ptashko, Dmitry P. Vetrov |
| 2004 | ICPR | Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms. | Dmitry P. Vetrov, Dmitry Kropotov |
| 2004 | ICPR | An Algorithm for Rule Generation in Fuzzy Expert Systems. | Dmitry Kropotov, Dmitry P. Vetrov |