Invariant norm quantifying nonlinear content of Hamiltonian systems. - Govindan Rangarajan; Shrihari Sridharan (Appl. Math. Comput., 2010)

Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. - Indranil Chakraborty; Mustafa Fayez Ali; Aayush Ankit; Shubham Jain 004; Sourjya Roy; Shrihari Sridharan; Amogh Agrawal; Anand Raghunathan; Kaushik Roy 001 (Proc. IEEE, 2020)

Design Tools for Resistive Crossbar based Machine Learning Accelerators. - Indranil Chakraborty; Sourjya Roy; Shrihari Sridharan; Mustafa Fayez Ali; Aayush Ankit; Shubham Jain 004; Anand Raghunathan (AICAS, 2021)

TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. - Sourjya Roy; Shrihari Sridharan; Shubham Jain 004; Anand Raghunathan (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Dynamics of products of matrices in max algebra. - Shrihari Sridharan; Sachindranath Jayaraman; Yogesh Kumar Prajapaty (Discret. Event Dyn. Syst., 2023)

X-Former: In-Memory Acceleration of Transformers. - Shrihari Sridharan; Jacob R. Stevens; Kaushik Roy 001; Anand Raghunathan (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms. - Shrihari Sridharan; Surya Selvam; Kaushik Roy 001; Anand Raghunathan (DAC, 2024)