Information Theoretic Self-organised Adaptation in Reservoirs for Temporal Memory Tasks. - Sakyasingha Dasgupta; Florentin Wörgötter; Poramate Manoonpong (EANN, 2012)

Multiple chaotic central pattern generators for locomotion generation and leg damage compensation in a hexapod robot. - Guanjiao Ren; Weihai Chen; Christoph Kolodziejski; Florentin Wörgötter; Sakyasingha Dasgupta; Poramate Manoonpong (IROS, 2012)

Neural Combinatorial Learning of Goal-Directed Behavior with Reservoir Critic and Reward Modulated Hebbian Plasticity. - Sakyasingha Dasgupta; Florentin Wörgötter; Jun Morimoto; Poramate Manoonpong (SMC, 2013)

Information dynamics based self-adaptive reservoir for delay temporal memory tasks. - Sakyasingha Dasgupta; Florentin Wörgötter; Poramate Manoonpong (Evol. Syst., 2013)

Reservoir-based online adaptive forward models with neural control for complex locomotion in a hexapod robot. - Poramate Manoonpong; Sakyasingha Dasgupta; Dennis Goldschmidt; Florentin Wörgötter (IJCNN, 2014)

Adaptive Landmark-Based Navigation System Using Learning Techniques. - Bassel Zeidan; Sakyasingha Dasgupta; Florentin Wörgötter; Poramate Manoonpong (SAB, 2014)

Cognitive Aging as Interplay between Hebbian Learning and Criticality. - Sakyasingha Dasgupta (CoRR, 2014)

A neural path integration mechanism for adaptive vector navigation in autonomous agents. - Dennis Goldschmidt; Sakyasingha Dasgupta; Florentin Wörgötter; Poramate Manoonpong (IJCNN, 2015)

Distributed Recurrent Neural Forward Models with Synaptic Adaptation for Complex Behaviors of Walking Robots. - Sakyasingha Dasgupta; Dennis Goldschmidt; Florentin Wörgötter; Poramate Manoonpong (CoRR, 2015)

Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots. - Sakyasingha Dasgupta; Dennis Goldschmidt; Florentin Wörgötter; Poramate Manoonpong (Frontiers Neurorobotics, 2015)

Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation. - Guanjiao Ren; Weihai Chen; Sakyasingha Dasgupta; Christoph Kolodziejski; Florentin Wörgötter; Poramate Manoonpong (Inf. Sci., 2015)

Temporal information processing and memory guided behaviors with recurrent neural networks. - Sakyasingha Dasgupta (2015)

Regularized dynamic Boltzmann machine with Delay Pruning for unsupervised learning of temporal sequences. - Sakyasingha Dasgupta; Takayuki Yoshizumi; Takayuki Osogami (ICPR, 2016)

Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction. - Sakyasingha Dasgupta; Takayuki Osogami (AAAI, 2017)

Text to image generative model using constrained embedding space mapping. - Subhajit Chaudhury; Sakyasingha Dasgupta; Asim Munawar; Md. A. Salam Khan; Ryuki Tachibana (MLSP, 2017)

Conditional generation of multi-modal data using constrained embedding space mapping. - Subhajit Chaudhury; Sakyasingha Dasgupta; Asim Munawar; Md. A. Salam Khan; Ryuki Tachibana (CoRR, 2017)

Transfer learning from synthetic to real images using variational autoencoders for robotic applications. - Tadanobu Inoue; Subhajit Chaudhury; Giovanni De Magistris; Sakyasingha Dasgupta (CoRR, 2017)

Dynamic Boltzmann Machines for Second Order Moments and Generalized Gaussian Distributions. - Rudy Raymond; Takayuki Osogami; Sakyasingha Dasgupta (CoRR, 2017)

Automated flow for compressing convolution neural networks for efficient edge-computation with FPGA. - Farhan Shafiq; Takato Yamada; Antonio T. Vilchez; Sakyasingha Dasgupta (CoRR, 2017)

A Neurocomputational Model of Goal-Directed Navigation in Insect-Inspired Artificial Agents. - Dennis Goldschmidt; Poramate Manoonpong; Sakyasingha Dasgupta (Frontiers Neurorobotics, 2017)

Learning the values of the hyperparameters of a dynamic Boltzmann machine. - Takayuki Osogami; Sakyasingha Dasgupta (IBM J. Res. Dev., 2017)

Transfer Learning from Synthetic to Real Images Using Variational Autoencoders for Precise Position Detection. - Tadanobu Inoue; Subhajit Chaudhury; Giovanni De Magistris; Sakyasingha Dasgupta (ICIP, 2018)

Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Images. - Fernando Camaro Nogue; Andrew Huie; Sakyasingha Dasgupta (CoRR, 2018)

Internal Model from Observations for Reward Shaping. - Daiki Kimura; Subhajit Chaudhury; Ryuki Tachibana; Sakyasingha Dasgupta (CoRR, 2018)

Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization. - Pengqian Yu; Joon Sern Lee; Ilya Kulyatin; Zekun Shi; Sakyasingha Dasgupta (CoRR, 2019)

Continual Learning via Online Leverage Score Sampling. - Dan Teng; Sakyasingha Dasgupta (CoRR, 2019)

Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start. - Weiwen Jiang; Lei Yang 018; Sakyasingha Dasgupta; Jingtong Hu; Yiyu Shi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Hardware/Software Co-Exploration of Neural Architectures. - Weiwen Jiang; Lei Yang 018; Edwin Hsing-Mean Sha; Qingfeng Zhuge; Shouzhen Gu; Sakyasingha Dasgupta; Yiyu Shi 001; Jingtong Hu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices. - Yuhong Song; Weiwen Jiang; Bingbing Li; Panjie Qi; Qingfeng Zhuge; Edwin Hsing-Mean Sha; Sakyasingha Dasgupta; Yiyu Shi 001; Caiwen Ding (DAC, 2021)

Dynamic Neural Accelerator for Reconfigurable & Energy-efficient Neural Network Inference. - Nikolay Nez; Antonio N. Vilchez; Hamid R. Zohouri; Oleg Khavin; Sakyasingha Dasgupta (HCS, 2021)