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Petko Georgiev
Petko Georgiev
Google DeepMind, University of Cambridge
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Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
nature 575 (7782), 350-354, 2019
47782019
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
18332023
Starcraft ii: A new challenge for reinforcement learning
O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ...
arXiv preprint arXiv:1708.04782, 2017
10982017
Deepx: A software accelerator for low-power deep learning inference on mobile devices
ND Lane, S Bhattacharya, P Georgiev, C Forlivesi, L Jiao, L Qendro, ...
2016 15th ACM/IEEE International Conference on Information Processing in ¡¦, 2016
6592016
Alphastar: Mastering the real-time strategy game starcraft ii
O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ...
DeepMind blog 2, 20, 2019
5652019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
5122024
Deepear: robust smartphone audio sensing in unconstrained acoustic environments using deep learning
ND Lane, P Georgiev, L Qendro
Proceedings of the 2015 ACM international joint conference on pervasive and ¡¦, 2015
4232015
Can deep learning revolutionize mobile sensing?
ND Lane, P Georgiev
Proceedings of the 16th international workshop on mobile computing systems ¡¦, 2015
3532015
An early resource characterization of deep learning on wearables, smartphones and internet-of-things devices
ND Lane, S Bhattacharya, P Georgiev, C Forlivesi, F Kawsar
Proceedings of the 2015 international workshop on internet of things towards ¡¦, 2015
2892015
Squeezing deep learning into mobile and embedded devices
ND Lane, S Bhattacharya, A Mathur, P Georgiev, C Forlivesi, F Kawsar
IEEE Pervasive Computing 16 (3), 82-88, 2017
2442017
Gemma 2: Improving open language models at a practical size
G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ...
arXiv preprint arXiv:2408.00118, 2024
1272024
A data-driven approach for learning to control computers
PC Humphreys, D Raposo, T Pohlen, G Thornton, R Chhaparia, A Muldal, ...
International Conference on Machine Learning, 9466-9482, 2022
942022
Low-resource multi-task audio sensing for mobile and embedded devices via shared deep neural network representations
P Georgiev, S Bhattacharya, ND Lane, C Mascolo
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous ¡¦, 2017
852017
LEO: Scheduling sensor inference algorithms across heterogeneous mobile processors and network resources
P Georgiev, ND Lane, KK Rachuri, C Mascolo
Proceedings of the 22nd Annual International Conference on Mobile Computing ¡¦, 2016
852016
Dsp. ear: Leveraging co-processor support for continuous audio sensing on smartphones
P Georgiev, ND Lane, KK Rachuri, C Mascolo
Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems ¡¦, 2014
822014
Imitating interactive intelligence
J Abramson, A Ahuja, I Barr, A Brussee, F Carnevale, M Cassin, ...
arXiv preprint arXiv:2012.05672, 2020
702020
The Call of the Crowd: Event Participation in Location-based Social Services
P Georgiev, A Noulas, C Mascolo
Proceedings of the 8th International AAAI Conference on Weblogs and Social ¡¦, 2014
552014
Where businesses thrive: Predicting the impact of the olympic games on local retailers through location-based services data
P Georgiev, A Noulas, C Mascolo
Proceedings of the 8th International AAAI Conference on Weblogs and Social ¡¦, 2014
532014
Creating multimodal interactive agents with imitation and self-supervised learning
DMIA Team, J Abramson, A Ahuja, A Brussee, F Carnevale, M Cassin, ...
arXiv preprint arXiv:2112.03763, 2021
442021
Video game streaming for spectating
S Agarwal, S Saroiu, A Wolman, LR Sivalingam, E Cuervo, P Bahl, ...
US Patent App. 15/055,509, 2017
342017
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