Priyabrata Saha

Orcid: 0000-0002-6933-0660

According to our database1, Priyabrata Saha authored at least 22 papers between 2018 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Deep Learning for Dynamical Systems: Modeling, Prediction, and Control.
PhD thesis, 2023

Learning Deep Neural Network Controller for Path Following of Unicycle Robots.
IEEE Robotics Autom. Lett., 2023

2022
Task-Driven RGB-Lidar Fusion for Object Tracking in Resource-Efficient Autonomous System.
IEEE Trans. Intell. Veh., 2022

RADNet: A Deep Neural Network Model for Robust Perception in Moving Autonomous Systems.
CoRR, 2022

Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics.
CoRR, 2022

2021
A Task-Driven Feedback Imager with Uncertainty Driven Hybrid Control.
Sensors, 2021

Neural Identification for Control.
IEEE Robotics Autom. Lett., 2021

Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems.
Neural Networks, 2021

A Deep Learning Approach for Predicting Spatiotemporal Dynamics From Sparsely Observed Data.
IEEE Access, 2021

2020
Cross-Layer Noise Analysis in Smart Digital Pixel Sensors With Integrated Deep Neural Network.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

A Deep Learning-based Collocation Method for Modeling Unknown PDEs from Sparse Observation.
CoRR, 2020

Neural Identification for Control.
CoRR, 2020

PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems.
CoRR, 2020

SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Uncertainty Characterization in Active Sensor Systems with DNN-based Feedback Control.
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Effect of Process Variations in Digital Pixel Circuits on the Accuracy of DNN based Smart Sensor.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Camera with Brain - Embedding Machine Learning in 3D Sensors.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Fast adaptive motion estimation algorithm and its efficient VLSI system for high definition videos.
Expert Syst. Appl., 2018

Adaptive Control of Camera Modality with Deep Neural Network-Based Feedback for Efficient Object Tracking.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018


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