ASHD Lab : Application Specific Hardware Design LabLink to Lab Webpage

This lab is a part of the RISE group.
Research AreasSoftware Aspects, Design Automation, Cluster Computing, Hardware Parallelization.
MembersFaculty : V. Kamakoti.

Students/Scholars :
Project Staffs : Tulasi Bai, Manav Choudhary, Mohammed Hisham C. G., Tania Khan, Aravind Rajeswaran.

Recent Publications
  • A Systematic Evaluation of Object Detection Networks for Scientific Plots.  
           Pritha Ganguly , Nitesh S. Methani , Mitesh Khapra , Pratyush Kumar
          Appeared in Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp.1379-1387, Feb 2021
  • FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays.  
           Surya Selvam , Vinod Ganesan , Pratyush Kumar
          Appeared in Design, Automation & Test in Europe Conference & Exhibition, DATE 2021, Grenoble, France, February 1-5, 2021, pp.651-656, Feb 2021
  • Industrial, large-scale model predictive control with structured neural networks.  
           Pratyush Kumar , James B. Rawlings , Stephen J. Wright
          Appeared in Comput. Chem. Eng., Vol 150, pp.107291, Jan 2021
  • Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages.  
           Emil Biju , Anirudh Sriram , Mitesh Khapra , Pratyush Kumar
          Appeared in Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp.999-1010, Dec 2020
  • iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages.  
           Divyanshu Kakwani , Anoop Kunchukuttan , Satish Golla , Gokul N. C. , Avik Bhattacharyya , Mitesh Khapra , Pratyush Kumar
          Appeared in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020., pp.4948-4961, Nov 2020

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