Temporal coding in spiking neural networks with alpha synaptic function IM Comsa, T Fischbacher, K Potempa, A Gesmundo, L Versari, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 241 | 2020 |
Visualizing a joint future of neuroscience and neuromorphic engineering F Zenke, SM Bohté, C Clopath, IM Comşa, J Göltz, W Maass, ... Neuron 109 (4), 571-575, 2021 | 78 | 2021 |
Transient topographical dynamics of the electroencephalogram predict brain connectivity and behavioural responsiveness during drowsiness IM Comsa, TA Bekinschtein, S Chennu Brain topography 32 (2), 315-331, 2019 | 64 | 2019 |
JPEG XL next-generation image compression architecture and coding tools J Alakuijala, R Van Asseldonk, S Boukortt, M Bruse, IM Comșa, ... Applications of digital image processing XLII 11137, 112-124, 2019 | 62 | 2019 |
Temporal coding in spiking neural networks with alpha synaptic function: learning with backpropagation IM Comşa, K Potempa, L Versari, T Fischbacher, A Gesmundo, ... IEEE transactions on neural networks and learning systems 33 (10), 5939-5952, 2021 | 25 | 2021 |
EURONEAR—Recovery, follow-up and discovery of NEAs and MBAs using large field 1–2 m telescopes O Vaduvescu, M Birlan, A Tudorica, A Sonka, FN Pozo, AD Barr, DJ Asher, ... Planetary and Space Science 59 (13), 1632-1646, 2011 | 21 | 2011 |
Mining the ESO WFI and INT WFC archives for known Near Earth Asteroids. Mega‐Precovery software O Vaduvescu, M Popescu, I Comsa, A Paraschiv, D Lacatus, A Sonka, ... Astronomische Nachrichten 334 (7), 718-728, 2013 | 18 | 2013 |
Spiking autoencoders with temporal coding IM Comşa, L Versari, T Fischbacher, J Alakuijala Frontiers in neuroscience 15, 712667, 2021 | 17 | 2021 |
More than 160 near Earth asteroids observed in the EURONEAR network M Birlan, O Vaduvescu, A Tudorica, A Sonka, A Nedelcu, A Galad, ... Astronomy & Astrophysics 511, A40, 2010 | 15 | 2010 |
Committee draft of JPEG XL image coding system A Rhatushnyak, J Wassenberg, J Sneyers, J Alakuijala, L Vandevenne, ... arXiv preprint arXiv:1908.03565, 2019 | 14 | 2019 |
Zuckerli: A new compressed representation for graphs L Versari, IM Comsa, A Conte, R Grossi IEEE Access 8, 219233-219243, 2020 | 13 | 2020 |
Dynamics in the multi-objective subset sum: Analysing the behavior of population based algorithms IM Comsa, C Grosan, S Yang Evolutionary Computation for Dynamic Optimization Problems, 299-313, 2013 | 5 | 2013 |
Temporal coding in spiking neural networks with alpha synaptic function: Learning with backpropagation IM Comsa, K Potempa, L Versari, T Fischbacher, A Gesmundo, ... arXiv preprint arXiv:1907.13223, 2019 | 4 | 2019 |
MiQA: A benchmark for inference on metaphorical questions IM Comsa, JM Eisenschlos, S Narayanan arXiv preprint arXiv:2210.07993, 2022 | 3 | 2022 |
A Benchmark for Reasoning with Spatial Prepositions I Comșa, S Narayanan Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 2 | 2023 |
Intelligent matrix exponentiation T Fischbacher, IM Comsa, K Potempa, M Firsching, L Versari, J Alakuijala arXiv preprint arXiv:2008.03936, 2020 | 2 | 2020 |
Temporal Coding in Leaky Spiking Neural Networks J Alakuijala, IM Comsa, K Potempa US Patent App. 16/972,427, 2021 | 1 | 2021 |
Tracking brain dynamics across transitions of consciousness IM Comsa | 1 | 2019 |
Machine-Learned Models Featuring Matrix Exponentiation Layers T Fischbacher, L Versari, K Potempa, IM Comsa, M Firsching, ... US Patent App. 17/169,740, 2021 | | 2021 |
Machine-Learned Models Featuring Matrix Exponentiation Layers T Fischbacher, IM Comsa, L Versari US Patent App. 17/170,025, 2021 | | 2021 |