Suvadeep Banerjee

Orcid: 0000-0001-5188-1651

According to our database1, Suvadeep Banerjee authored at least 38 papers between 2011 and 2024.

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Bibliography

2024
DiagNNose: Toward Error Localization in Deep Learning Hardware-Based on VTA-TVM Stack.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

2023
Trouble-Shooting at GAN Point: Improving Functional Safety in Deep Learning Accelerators.
IEEE Trans. Computers, August, 2023

A Novel Low-Power Compression Scheme for Systolic Array-Based Deep Learning Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2023

Analysis and Mitigation of DRAM Faults in Sparse-DNN Accelerators.
IEEE Des. Test, April, 2023

Enhanced ML-Based Approach for Functional Safety Improvement in Automotive AMS Circuits.
Proceedings of the IEEE International Test Conference, 2023

Reusing GEMM Hardware for Efficient Execution of Depthwise Separable Convolution on ASIC-Based DNN Accelerators.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators.
Proceedings of the 40th IEEE VLSI Test Symposium, 2022

DEFCON: Defect Acceleration through Content Optimization.
Proceedings of the IEEE International Test Conference, 2022

Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs.
Proceedings of the IEEE International Test Conference, 2022

Fault Resilience of DNN Accelerators for Compressed Sensor Inputs.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

2021
Toward Functional Safety of Systolic Array-Based Deep Learning Hardware Accelerators.
IEEE Trans. Very Large Scale Integr. Syst., 2021

Real-Time Error Detection in Nonlinear Control Systems Using Machine Learning Assisted State-Space Encoding.
IEEE Trans. Dependable Secur. Comput., 2021

A Highly Configurable Hardware/Software Stack for DNN Inference Acceleration.
CoRR, 2021

RHNAS: Realizable Hardware and Neural Architecture Search.
CoRR, 2021

HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Online Fast Detection and Diagnosis of Power Grid Security Attacks Using State Checksums.
Proceedings of the 27th IEEE International Symposium on On-Line Testing and Robust System Design, 2021

2019
ALERA: Accelerated Reinforcement Learning Driven Adaptation to Electro-Mechanical Degradation in Nonlinear Control Systems Using Encoded State Space Error Signatures.
ACM Trans. Intell. Syst. Technol., 2019

Mixed Signal Design Validation Using Reinforcement Learning Guided Stimulus Generation for Behavior Discovery.
Proceedings of the 37th IEEE VLSI Test Symposium, 2019

2018
Error Resilient Neuromorphic Networks Using Checker Neurons.
Proceedings of the 24th IEEE International Symposium on On-Line Testing And Robust System Design, 2018

Cross-Layer Control Adaptation for Autonomous System Resilience.
Proceedings of the 24th IEEE International Symposium on On-Line Testing And Robust System Design, 2018

ReiNN: Efficient error resilience in artificial neural networks using encoded consistency checks.
Proceedings of the 23rd IEEE European Test Symposium, 2018

2017
On-line diagnosis and compensation for parametric failures in linear state variable circuits and systems using time-domain checksum observers.
Proceedings of the 35th IEEE VLSI Test Symposium, 2017

Probabilistic error detection and correction in switched capacitor circuits using checksum codes.
Proceedings of the 23rd IEEE International Symposium on On-Line Testing and Robust System Design, 2017

Design of efficient error resilience in signal processing and control systems: From algorithms to circuits.
Proceedings of the 23rd IEEE International Symposium on On-Line Testing and Robust System Design, 2017

Real-time self-learning for control law adaptation in nonlinear systems using encoded check states.
Proceedings of the 22nd IEEE European Test Symposium, 2017

2016
Real-time DC motor error detection and control compensation using linear checksums.
Proceedings of the 34th IEEE VLSI Test Symposium, 2016

Infant mortality tests for analog and mixed-signal circuits.
Proceedings of the 34th IEEE VLSI Test Symposium, 2016

Checksum based error detection in linearized representations of non linear control systems.
Proceedings of the 17th Latin-American Test Symposium, 2016

Efficient cross-layer concurrent error detection in nonlinear control systems using mapped predictive check states.
Proceedings of the 2016 IEEE International Test Conference, 2016

Concurrent error detection and tolerance in Kalman filters using encoded state and statistical covariance checks.
Proceedings of the 22nd IEEE International Symposium on On-Line Testing and Robust System Design, 2016

2015
A Noise Aware CML Latch Modelling for Large System Simulation.
Proceedings of the 28th International Conference on VLSI Design, 2015

Concurrent error detection in nonlinear digital filters using checksum linearization and residue prediction.
Proceedings of the 21st IEEE International On-Line Testing Symposium, 2015

2014
Real-time transient error and induced noise cancellation in linear analog filters using learning-assisted adaptive analog checksums.
Proceedings of the 2014 IEEE 20th International On-Line Testing Symposium, 2014

Design of low cost fault tolerant analog circuits using real-time learned error compensation.
Proceedings of the 19th IEEE European Test Symposium, 2014

Error Resilient Real-Time State Variable Systems for Signal Processing and Control.
Proceedings of the 23rd IEEE Asian Test Symposium, 2014

2013
Real-time checking of linear control systems using analog checksums.
Proceedings of the 2013 IEEE 19th International On-Line Testing Symposium (IOLTS), 2013

Enhanced Resolution Time-Domain Reflectometry for High Speed Channels: Characterizing Spatial Discontinuities with Non-ideal Stimulus.
Proceedings of the 22nd Asian Test Symposium, 2013

2011
Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation.
Appl. Soft Comput., 2011


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