| Hardware/software co-exploration of neural architectures W Jiang, L Yang, EHM Sha, Q Zhuge, S Gu, S Dasgupta, Y Shi, J Hu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 210 | 2020 |
| Model-based deep reinforcement learning for dynamic portfolio optimization P Yu, JS Lee, I Kulyatin, Z Shi, S Dasgupta arXiv preprint arXiv:1901.08740, 2019 | 127 | 2019 |
| Standing on the shoulders of giants: Hardware and neural architecture co-search with hot start W Jiang, L Yang, S Dasgupta, J Hu, Y Shi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 101 | 2020 |
| Nonlinear dynamic Boltzmann machines for time-series prediction S Dasgupta, T Osogami Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 98 | 2017 |
| Learning machine based detection of abnormal network performance JP Vasseur, G Mermoud, S Dasgupta US Patent 9,628,362, 2017 | 85 | 2017 |
| Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation G Ren, W Chen, S Dasgupta, C Kolodziejski, F Wörgötter, P Manoonpong Information Sciences 294, 666–682, 2015 | 72 | 2015 |
| Transfer learning from synthetic to real images using variational autoencoders for precise position detection T Inoue, S Choudhury, G De Magistris, S Dasgupta 2018 25th IEEE International Conference on Image Processing (ICIP), 2725-2729, 2018 | 62 | 2018 |
| Scheduling predictive models for machine learning systems JP Vasseur, S Dasgupta, G Mermoud US Patent 9,794,145, 2017 | 59 | 2017 |
| Data bus transmission line termination circuit S Dasgupta, D Richter, T Takayesu US Patent 3,832,575, 1974 | 58 | 1974 |
| A neurocomputational model of goal-directed navigation in insect-inspired artificial agents D Goldschmidt, P Manoonpong, S Dasgupta Frontiers in neurorobotics 11, 20, 2017 | 52 | 2017 |
| Information dynamics based self-adaptive reservoir for delay temporal memory tasks S Dasgupta, F Wörgötter, P Manoonpong Evolving Systems 4 (4), 235-249, 2013 | 50 | 2013 |
| Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control S Dasgupta, F Wörgötter, P Manoonpong Frontiers in neural circuits 8, 126, 2014 | 46 | 2014 |
| The use of Hebbian cell assemblies for nonlinear computation C Tetzlaff, S Dasgupta, T Kulvicius, F Wörgötter Scientific reports 5 (1), 12866, 2015 | 44 | 2015 |
| Learning mixtures of gaussians using the k-means algorithm K Chaudhuri, S Dasgupta, A Vattani arXiv preprint arXiv:0912.0086, 2009 | 44 | 2009 |
| Diameter-based active learning C Tosh, S Dasgupta International Conference on Machine Learning, 3444-3452, 2017 | 37 | 2017 |
| Distributed Recurrent Neural Forward Models with Synaptic Adaptation and CPG-based control for Complex Behaviors of Walking Robots S Dasgupta, D Goldschmidt, F Wörgötter, P Manoonpong Frontiers in Neurorobotics 9 (10), 17, 2015 | 36 | 2015 |
| 25th annual computational neuroscience meeting: CNS-2016 TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ... BMC neuroscience 17 (Suppl 1), 54, 2016 | 34 | 2016 |
| Dancing along battery: Enabling transformer with run-time reconfigurability on mobile devices Y Song, W Jiang, B Li, P Qi, Q Zhuge, EHM Sha, S Dasgupta, Y Shi, ... 2021 58th ACM/IEEE Design Automation Conference (DAC), 1003-1008, 2021 | 30 | 2021 |
| Internal model from observations for reward shaping D Kimura, S Chaudhury, R Tachibana, S Dasgupta arXiv preprint arXiv:1806.01267, 2018 | 26 | 2018 |
| Reward estimation via state prediction using expert demonstrations D KIMURA, S Dasgupta, S CHAUDHURY, R Tachibana US Patent App. 15/909,304, 2019 | 25 | 2019 |
Poramate ManoonpongVidyasirimedhi Institute of Science and Technology (VISTEC) | University of Southern Denmark (SDU)Verified email at mmmi.sdu.dk
