Sourabh Kulkarni

Orcid: 0000-0001-7003-0828

According to our database1, Sourabh Kulkarni authored at least 15 papers between 2017 and 2023.

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Bibliography

2023
SkyBridge 2.0: A Fine-grained Vertical 3D-IC Technology for Future ICs.
ACM J. Emerg. Technol. Comput. Syst., October, 2023

Improving Effectiveness of Simulation-Based Inference in the Massively Parallel Regime.
IEEE Trans. Parallel Distributed Syst., April, 2023

Compact Model Parameter Extraction using Bayesian Machine Learning.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2023

2022
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19.
ACM J. Emerg. Technol. Comput. Syst., 2022

2021
Architecting for Artificial Intelligence with Emerging Nanotechnology.
ACM J. Emerg. Technol. Comput. Syst., 2021

Efficient State-space Exploration in Massively Parallel Simulation Based Inference.
CoRR, 2021

SkyBridge-3D-CMOS 2.0: IC Technology for Stacked-Transistor 3D ICs beyond FinFETs.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

A Wafer-scale Manufacturing Pathway for Fine-grained Vertical 3D-IC Technology.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

2020
PPL Bench: Evaluation Framework For Probabilistic Programming Languages.
CoRR, 2020

Accelerating Simulation-based Inference with Emerging AI Hardware.
Proceedings of the International Conference on Rebooting Computing, 2020

2019
Assessing manufacturing strategy definitions utilising text-mining.
Int. J. Prod. Res., 2019

Performance landscape modeling in digital manufacturing firm.
Bus. Process. Manag. J., 2019

Reconfigurable Probabilistic AI Architecture for Personalized Cancer Treatment.
Proceedings of the 2019 IEEE International Conference on Rebooting Computing, 2019

2017
Structure Discovery for Gene Expression Networks with Emerging Stochastic Hardware.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

Magneto-Electric Approximate Computational Circuits for Bayesian Inference.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017


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