activity
20182022
most citedDissecting graph measure performance for node clustering in LFR parameter space

3 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

cs.SI20223 cited

Dissecting graph measure performance for node clustering in LFR parameter space

Vladimir Ivashkin, Pavel Chebotarev

Graph measures that express closeness or distance between nodes can be employed for graph nodes clustering using metric clustering algorithms. There are numerous measures applicabl…

cs.CV2020

Image-to-image Neural Network for Addition and Subtraction of a Pair of Not Very Large Numbers

Vladimir Ivashkin

Looking back at the history of calculators, one can see that they become less functional and more computationally expensive over time. A modern calculator runs on a personal comput…

cs.CV2020

StyleGAN2 Distillation for Feed-forward Image Manipulation

Yuri Viazovetskyi, Vladimir Ivashkin, Evgeny Kashin

StyleGAN2 is a state-of-the-art network in generating realistic images. Besides, it was explicitly trained to have disentangled directions in latent space, which allows efficient i…

cs.CV2019

Precipitation Nowcasting with Satellite Imagery

Vadim Lebedev, Vladimir Ivashkin, Irina Rudenko +6

Precipitation nowcasting is a short-range forecast of rain/snow (up to 2 hours), often displayed on top of the geographical map by the weather service. Modern precipitation nowcast…

cs.CV20181 cited

Spatiotemporal Data Fusion for Precipitation Nowcasting

Vladimir Ivashkin, Vadim Lebedev

Precipitation nowcasting using neural networks and ground-based radars has become one of the key components of modern weather prediction services, but it is limited to the regions…