Siddharth Gupta



Visitor's Address

+49 351 463-40819

Helmholtzstrasse 18,  BAR-III62

Siddharth Gupta is working as a Research Associate on the project "Computationally efficient deep learning models for embedded systems". He received his B.Sc. and MS.c. degrees in 2015 and 2020 from G.L. Bajaj Institute of Technology and Indian Institute of Technology Indore (India), respectively. Siddharth also has work as software engineer in companies, NXP Semiconductors, and NTT data services. His current research interests include deep learning, approximation techniques in machine learning, and hardware realization of DNNs. Siddharth joined the Chair of Processor Design at Technische Universität Dresden (TUD) in September 2021. His current research interests include approximate computing, machine learning, and optimization of embedded systems.


  • 2020

  • 2. S. Gupta, S. Ullah, K. Ahuja, A. Tiwari, A. Kumar, "ALigN: A Highly Accurate Adaptive Layerwise Log_2_Lead Quantization of Pre-Trained Neural Networks", In IEEE Access, vol. 8, pp. 118899-118911, June 2020. [Bibtex & Downloads]
  • 1. S. Ullah, S. Gupta, K. Ahuja, A. Tiwari, A. Kumar, "L2L: A HIGHLY ACCURATE LOG_2_LEAD QUANTIZATION OF PRE-TRAINED NEURAL NETWORKS", In Proceeding: 2020 Design, Automation Test in Europe Conference Exhibition (DATE), March 2020. [Bibtex & Downloads]