Dmitry Vetrov
Высшая школа экономики
- Generative Adversarial Networks and Image Synthesis
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Gaussian Processes and Bayesian Inference
- Machine Learning and Algorithms
Чем занимается
Ключевые темы по публикациям: Generative Adversarial Networks and Image Synthesis; Domain Adaptation and Few-Shot Learning; Advanced Neural Network Applications; Gaussian Processes and Bayesian Inference; Machine Learning and Algorithms.
Последние работы
Все 167 в OpenAlexAveraging Weights Leads to Wider Optima and Better Generalization2018 · аннотациясвернуть
Deep neural networks are typically trained by optimizing a loss function with an SGD variant, in conjunction with a decaying learning rate, until convergence. We show that simple averaging of multiple points along the…
Tensorizing Neural Networks2015 · аннотациясвернуть
Deep neural networks currently demonstrate state-of-the-art performance in several domains. At the same time, models of this class are very demanding in terms of computational resources. In particular, a large amount of…
Spatially Adaptive Computation Time for Residual Networks2017 · аннотациясвернуть
This paper proposes a deep learning architecture based on Residual Network that dynamically adjusts the number of executed layers for the regions of the image. This architecture is end-to-end trainable, deterministic…
Variational Dropout Sparsifies Deep Neural Networks2017 · аннотациясвернуть
We explore a recently proposed Variational Dropout technique that provided an elegant Bayesian interpretation to Gaussian Dropout. We extend Variational Dropout to the case when dropout rates are unbounded, propose a…
- Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization2006
- Can Stationary Distributions of Scale-Invariant Neural Networks Be Described by the Thermodynamics of an Ideal Gas?2025
- Adaptive Destruction Processes for Diffusion Samplers2025
- Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation2025
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Шаблон письма
Здравствуйте, Dmitry Vetrov! Я студент(ка) [курс, факультет, вуз]. Мне интересна тема [опишите интересы своими словами]. Прочитал(а) вашу работу «Averaging Weights Leads to Wider Optima and Better Generalization» (2018) — она близка к тому, чем я хочу заниматься. Хочу обсудить возможность выполнить научную работу под вашим руководством. Буду благодарен(на) за ответ — готов(а) рассказать о себе подробнее и прислать резюме. С уважением, [Имя Фамилия]
На этапе теста письмо отправляешь сам из своей почты. Отправка из сервиса и статусы заявок — скоро.