3 papers
math.NA2026
Sigmoid Tensor Decomposition for Compact Representations of Binary Data
Irina Kopnina, Sergey Matveev, Ivan Oseledets
Nonlinear low-rank decompositions are receiving growing attention as a way to represent structured data with fewer parameters than conventional linear methods. Existing nonlinear a…
stat.ML2025
Exploring specialization and sensitivity of convolutional neural networks under simultaneous image augmentations
Pavel Kharyuk, Sergey Matveev, Ivan Oseledets
Drawing parallels with the way biological networks are studied, the authors adapt the treatment--control paradigm to explainable artificial intelligence research and enrich it thro…
cs.PF2020
LETI: Latency Estimation Tool and Investigation of Neural Networks inference on Mobile GPU
Evgeny Ponomarev, Sergey Matveev, Ivan Oseledets
A lot of deep learning applications are desired to be run on mobile devices. Both accuracy and inference time are meaningful for a lot of them. While the number of FLOPs is usually…