Stochasticity in neural odes: An empirical study V Oganesyan, A Volokhova, D Vetrov arXiv preprint arXiv:2002.09779, 2020 | 17 | 2020 |
Sources of electrophysiological and foci of hemodynamic brain activity most relevant for controlling a hybrid brain–computer interface based on classification of EEG patterns … PD Bobrov, MR Isaev, AV Korshakov, VV Oganesyan, JV Kerechanin, ... Human Physiology 42, 241-251, 2016 | 12 | 2016 |
Star-shaped denoising diffusion probabilistic models A Okhotin, D Molchanov, A Vladimir, G Bartosh, V Ohanesian, A Alanov, ... Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Sources of electrophysiological and foci of hemodynamic activity in the brain significant for the control of a hybrid brain–computer interface based on the recognition of EEG … PD Bobrov, MR Isaev, AV Korshakov, VV Oganesyan, YV Kerechanin, ... Fiziol. Cheloveka 42 (3), 12-24, 2016 | 5 | 2016 |
Stochasticity in neural odes: an empirical study A Volokhova, V Oganesyan, D Vetrov ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020 | 3 | 2020 |
Comparison of Results Obtained Using Brain–Computer Interface Classifiers in a Motor Imagery Recognition Task VV Oganesyan, SN Agapov, VA Bulanov, EV Biryukova Neuroscience and Behavioral Physiology, 1-5, 2018 | 3 | 2018 |
Comparison of brain-computer interface classifiers in imaginary movement tasks VV Oganesyan, SN Agapov, VA Bulanov, EV Biryukova ZHURNAL VYSSHEI NERVNOI DEYATELNOSTI IMENI IP PAVLOVA 67 (4), 554-560, 2017 | 1 | 2017 |
Modeling Light Propagation through the Tissues of the Head Taking Account of Scattering Anisotropy to Optimize the Positioning of Irradiation Detectors and Sources in a Brain … MR Isaev, VV Oganesyan, D Husek, V Snasel Neuroscience and Behavioral Physiology 48, 1158-1163, 2018 | | 2018 |