Sakyasingha Dasgupta

Orcid: 0000-0001-8646-1171

According to our database1, Sakyasingha Dasgupta authored at least 30 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Dynamic Neural Accelerator for Reconfigurable & Energy-efficient Neural Network Inference.
Proceedings of the IEEE Hot Chips 33 Symposium, 2021

Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Hardware/Software Co-Exploration of Neural Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

2019
Continual Learning via Online Leverage Score Sampling.
CoRR, 2019

Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization.
CoRR, 2019

2018
Internal Model from Observations for Reward Shaping.
CoRR, 2018

Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Images.
CoRR, 2018

Transfer Learning from Synthetic to Real Images Using Variational Autoencoders for Precise Position Detection.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Learning the values of the hyperparameters of a dynamic Boltzmann machine.
IBM J. Res. Dev., 2017

A Neurocomputational Model of Goal-Directed Navigation in Insect-Inspired Artificial Agents.
Frontiers Neurorobotics, 2017

Automated flow for compressing convolution neural networks for efficient edge-computation with FPGA.
CoRR, 2017

Dynamic Boltzmann Machines for Second Order Moments and Generalized Gaussian Distributions.
CoRR, 2017

Transfer learning from synthetic to real images using variational autoencoders for robotic applications.
CoRR, 2017

Conditional generation of multi-modal data using constrained embedding space mapping.
CoRR, 2017

Text to image generative model using constrained embedding space mapping.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Regularized dynamic Boltzmann machine with Delay Pruning for unsupervised learning of temporal sequences.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Temporal information processing and memory guided behaviors with recurrent neural networks.
PhD thesis, 2015

Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation.
Inf. Sci., 2015

Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots.
Frontiers Neurorobotics, 2015

Distributed Recurrent Neural Forward Models with Synaptic Adaptation for Complex Behaviors of Walking Robots.
CoRR, 2015

A neural path integration mechanism for adaptive vector navigation in autonomous agents.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Cognitive Aging as Interplay between Hebbian Learning and Criticality.
CoRR, 2014

Adaptive Landmark-Based Navigation System Using Learning Techniques.
Proceedings of the From Animals to Animats 13, 2014

Reservoir-based online adaptive forward models with neural control for complex locomotion in a hexapod robot.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Information dynamics based self-adaptive reservoir for delay temporal memory tasks.
Evol. Syst., 2013

Neural Combinatorial Learning of Goal-Directed Behavior with Reservoir Critic and Reward Modulated Hebbian Plasticity.
Proceedings of the IEEE International Conference on Systems, 2013

2012
Multiple chaotic central pattern generators for locomotion generation and leg damage compensation in a hexapod robot.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Information Theoretic Self-organised Adaptation in Reservoirs for Temporal Memory Tasks.
Proceedings of the Engineering Applications of Neural Networks, 2012


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