Sakyasingha Dasgupta
Sakyasingha Dasgupta
Founder at Edgecortix, Inc.
Verified email at
Cited by
Cited by
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
Nonlinear dynamic Boltzmann machines for time-series prediction
S Dasgupta, T Osogami
Thirty-First AAAI Conference on Artificial Intelligence, 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
Learning mixtures of gaussians using the k-means algorithm
K Chaudhuri, S Dasgupta, A Vattani
arXiv preprint arXiv:0912.0086, 2009
Learning machine based detection of abnormal network performance
JP Vasseur, G Mermoud, S Dasgupta
US Patent 9,628,362, 2017
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
Diameter-based active learning
C Tosh, S Dasgupta
arXiv preprint arXiv:1702.08553, 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
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
The use of Hebbian cell assemblies for nonlinear computation
C Tetzlaff, S Dasgupta, T Kulvicius, F Wörgötter
Scientific reports 5, 12866, 2015
A neurocomputational model of goal-directed navigation in insect-inspired artificial agents
D Goldschmidt, P Manoonpong, S Dasgupta
Frontiers in neurorobotics 11, 20, 2017
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 Systems, 2020
Scheduling predictive models for machine learning systems
JP Vasseur, S Dasgupta, G Mermoud
US Patent 9,794,145, 2017
Transfer learning from synthetic to real images using variational autoencoders for robotic applications
T Inoue, S Chaudhury, G De Magistris, S Dasgupta
arXiv preprint arXiv:1709.06762, 2017
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
Multiple chaotic central pattern generators for locomotion generation and leg damage compensation in a hexapod robot
G Ren, W Chen, C Kolodziejski, F Wörgötter, S Dasgupta, P Manoonpong
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
Information theoretic self-organised adaptation in reservoirs for temporal memory tasks
S Dasgupta, F Wörgötter, P Manoonpong
International Conference on Engineering Applications of Neural Networks, 31-40, 2012
Internal model from observations for reward shaping
D Kimura, S Chaudhury, R Tachibana, S Dasgupta
arXiv preprint arXiv:1806.01267, 2018
Learning from discriminative feature feedback
S Dasgupta, A Dey, N Roberts, S Sabato
Advances in Neural Information Processing Systems 31, 3955-3963, 2018
Regularized dynamic Boltzmann machine with delay pruning for unsupervised learning of temporal sequences
S Dasgupta, T Yoshizumi, T Osogami
2016 23rd International Conference on Pattern Recognition (ICPR), 1201-1206, 2016
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