3 papers
cs.CV2026
Latent space configuration for neural network finetuning, fast ranking, and embedding dimensionality reduction
Nikita Gabdullin, Anton Raskovalov
Finding K most similar elements for a query in a large gallery of neural network (NN) embeddings is essential in various areas of computer science and industrial applications of ar…
cs.LG2025
Cavity Duplexer Tuning with 1d Resnet-like Neural Networks
Anton Raskovalov
This paper presents machine learning method for tuning of cavity duplexer with a large amount of adjustment screws. After testing we declined conventional reinforcement learning ap…
cs.LG2024
NIDS Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and its Generalization Capability
Anton Raskovalov, Nikita Gabdullin, Ilya Androsov
This paper presents neural networks for network intrusion detection systems (NIDS), that operate on flow data preprocessed with a time window. It requires only eleven features whic…