Low Complexity Reconfigurable-Scalable Architecture Design Methodology for Deep Neural Network Inference Accelerator. - Anagha Nimbekar; Chandrasekhara Srinivas Vatti; Y. V. Sai Dinesh; Sunidhi Singh; Tarun Gupta; Ramesh Reddy Chandrapu; Amit Acharyya (SOCC, 2022)

A Hierarchical Fault-Tolerant and Cost Effective Framework for RRAM Based Neural Computing Systems. - Chandrasekhara Srinivas Vatti; Rakesh M. B.; Raviteja P. Reddy; Amit Acharyya (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Digital Twin Based Fault-Tolerance Framework for RRAM Based Neural Computing Systems. - Chandrasekhara Srinivas Vatti; Y. V. Sai Dinesh; Anagha Nimbekar; Amit Acharyya (MWSCAS, 2023)