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Dmitry Vetrov

37 papers · 2010–2026 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) πŸƒ Academic Marathon (15) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🌟 Keyword Trendsetter Combo (4) 🧬 Topic Evolution πŸ† Grand Slam πŸ’Ž Century Club (36) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ❓ The Questioner πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (161)

Conferences

ICML (8) AISTATS (5) AAAI (4) CVPR (3) ICLR (3) NIPS (3) ACL (2) ACML (2) ICCV (2) INTERSPEECH (2) UAI (2) EMNLP (1)

Top co-authors

Dmitry Molchanov (6) Aibek Alanov (4) Grigory Bartosh (4) Arsenii Ashukha (4) Maxim Kodryan (3) Sergey Bartunov (3) Christian A. Naesseth (3) Ekaterina Lobacheva (3) Anton Osokin (2) Alexander Lyzhov (2)

Keywords

variational inference (5) model compression (4) image classification (4) bayesian inference (4) neural network (3) generative model (3) diffusion model (3) variational autoencoder (2) latent variable (2) language model (2) image generation (2) bayesian nonparametrics (2) recurrent neural network (2) few-shot learning (2) posterior approximation (2) language modeling (2) neural network compression (2) tensor decomposition (2) text generation (2) automatic relevance determination (2)

Papers

Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion AAAI 2026
Diffusion on Language Model Encodings for Protein Sequence Generation ICML 2025
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings AAAI 2025
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations ICML 2025
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach NIPS 2024
Where Do Large Learning Rates Lead Us? NIPS 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling NIPS 2024
The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing CVPR 2024
Neural Diffusion Models ICML 2024
MARS: Masked Automatic Ranks Selection in Tensor Decompositions AISTATS 2023
UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model INTERSPEECH 2023
StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation ICCV 2023
FFC-SE: Fast Fourier Convolution for Speech Enhancement INTERSPEECH 2022
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation UAI 2020
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020
Involutive MCMC: a Unifying Framework ICML 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders AISTATS 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning ICLR 2020
Structured Sparsification of Gated Recurrent Neural Networks AAAI 2020
Doubly Semi-Implicit Variational Inference AISTATS 2019
Variational Autoencoder with Arbitrary Conditioning ICLR 2019
Variance Networks: When Expectation Does Not Meet Your Expectations ICLR 2019
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019
Subspace Inference for Bayesian Deep Learning UAI 2019
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks ACML 2018
Few-shot Generative Modelling with Generative Matching Networks AISTATS 2018
Bayesian Compression for Natural Language Processing EMNLP 2018
Conditional Generators of Words Definitions ACL 2018
Variational Dropout Sparsifies Deep Neural Networks ICML 2017
Spatially Adaptive Computation Time for Residual Networks CVPR 2017
Breaking Sticks and Ambiguities with Adaptive Skip-gram AISTATS 2016
Inferring M-Best Diverse Labelings in a Single One ICCV 2015
Putting MRFs on a Tensor Train ICML 2014
Variational Inference for Sequential Distance Dependent Chinese Restaurant Process ICML 2014
Spatial Inference Machines CVPR 2013
Variational Relevance Vector Machine for Tabular Data ACML 2010