Examining Effects of Cognitive Style on Technology Acceptance Decisions. - Indranil Chakraborty; Paul Jen-Hwa Hu; Dai Cui (PACIS, 2005)

Bundle and separate sales in auctions with entry. - Indranil Chakraborty (Games Econ. Behav., 2006)

Examining the effects of cognitive style in individuals' technology use decision making. - Indranil Chakraborty; Paul Jen-Hwa Hu; Dai Cui (Decis. Support Syst., 2008)

A selectorless RRAM with record memory window and nonlinearity based on trap filled limit mechanism. - Pankaj Kumbhare; Indranil Chakraborty; A. K. Singh; S. Chouhan; Neeraj Panwar; Udayan Ganguly (NVMTS, 2015)

Energy-Efficient Memories using Magneto-Electric Switching of Ferromagnets. - Akhilesh Jaiswal 001; Indranil Chakraborty; Kaushik Roy 001 (CoRR, 2017)

Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars. - Indranil Chakraborty; Deboleena Roy; Kaushik Roy 001 (CoRR, 2017)

8T SRAM Cell as a Multi-bit Dot Product Engine for Beyond von-Neumann Computing. - Akhilesh Jaiswal 001; Indranil Chakraborty; Amogh Agrawal; Kaushik Roy 001 (CoRR, 2018)

Capacitively Driven Global Interconnect with Magnetoelectric Switching Based Receiver for Higher Energy Efficiency. - Zubair Al Azim; Akhilesh Jaiswal 001; Indranil Chakraborty; Kaushik Roy 001 (CoRR, 2018)

Proposal for a Low Voltage Analog-to-Digital Converter using Voltage Controlled Stochastic Switching of Low Barrier Nanomagnets. - Indranil Chakraborty; Amogh Agrawal; Kaushik Roy 001 (CoRR, 2018)

All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. - Indranil Chakraborty; Gobinda Saha; Abhronil Sengupta; Kaushik Roy 001 (CoRR, 2018)

Photonic Spiking Neural Networks - From Devices to Systems. - Indranil Chakraborty; Gobinda Saha; Kaushik Roy 001 (CoRR, 2018)

Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars. - Indranil Chakraborty; Deboleena Roy; Kaushik Roy 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Digital and Analog-Mixed-Signal In-Memory Processing in CMOS SRAM. - Akhilesh Jaiswal 001; Amogh Agrawal; Indranil Chakraborty; Mustafa Fayez Ali; Kaushik Roy 001 (ACM Great Lakes Symposium on VLSI, 2019)

Scaling Deep Spiking Neural Networks with Binary Stochastic Activations. - Deboleena Roy; Indranil Chakraborty; Kaushik Roy 001 (ICCC, 2019)

On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. - Akhilesh Jaiswal 001; Amogh Agrawal; Indranil Chakraborty; Deboleena Roy; Kaushik Roy 001 (IJCNN, 2019)

Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks. - Priyadarshini Panda; Indranil Chakraborty; Kaushik Roy 001 (IEEE Access, 2019)

Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. - Indranil Chakraborty; Deboleena Roy; Aayush Ankit; Kaushik Roy 001 (CoRR, 2019)

PCA-driven Hybrid network design for enabling Intelligence at the Edge. - Indranil Chakraborty; Deboleena Roy; Isha Garg; Aayush Ankit; Kaushik Roy 001 (CoRR, 2019)

Simultaneous vs. sequential auctions with risk averse bidders. - Indranil Chakraborty (Games Econ. Behav., 2019)

Neural network accelerator design with resistive crossbars: Opportunities and challenges. - Shubham Jain; Aayush Ankit; Indranil Chakraborty; Tayfun Gokmen; Malte J. Rasch; Wilfried Haensch; Kaushik Roy 001; Anand Raghunathan (IBM J. Res. Dev., 2019)

8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann Computing. - Akhilesh Jaiswal 001; Indranil Chakraborty; Amogh Agrawal; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2019)

In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. - Kaushik Roy 001; Indranil Chakraborty; Mustafa Fayez Ali; Aayush Ankit; Amogh Agrawal (DAC, 2020)

GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. - Indranil Chakraborty; Mustafa Fayez Ali; Dong Eun Kim; Aayush Ankit; Kaushik Roy 001 (DAC, 2020)

IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array. - Mustafa Fayez Ali; Akhilesh Jaiswal 001; Sangamesh Kodge; Amogh Agrawal; Indranil Chakraborty; Kaushik Roy 001 (CoRR, 2020)

Conditionally Deep Hybrid Neural Networks Across Edge and Cloud. - Yinghan Long; Indranil Chakraborty; Kaushik Roy 001 (CoRR, 2020)

Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks? - Deboleena Roy; Indranil Chakraborty; Timur Ibrayev; Kaushik Roy 001 (CoRR, 2020)

Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators. - Aayush Ankit; Indranil Chakraborty; Amogh Agrawal; Mustafa Fayez Ali; Kaushik Roy 001 (IEEE Micro, 2020)

Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence. - Indranil Chakraborty; Deboleena Roy; Isha Garg; Aayush Ankit; Kaushik Roy 001 (Nat. Mach. Intell., 2020)

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

IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array. - Mustafa Fayez Ali; Akhilesh Jaiswal 001; Sangamesh Kodge; Amogh Agrawal; Indranil Chakraborty; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. - Amogh Agrawal; Indranil Chakraborty; Deboleena Roy; Utkarsh Saxena; Saima Sharmin; Minsuk Koo; Yong Shim; Gopalakrishnan Srinivasan; Chamika M. Liyanagedera; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

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

On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks. - Deboleena Roy; Indranil Chakraborty; Timur Ibrayev; Kaushik Roy 001 (DAC, 2021)

A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding. - Jainaveen Sundaram; Srivatsa Rangachar Srinivasa; Dileep Kurian; Indranil Chakraborty; Sirisha Rani Kale; Nilesh Jain; Tanay Karnik; Ravi R. Iyer 001; Anuradha Srinivasan (DATE, 2021)

Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. - Hussam Amrouch; Jian-Jia Chen; Kaushik Roy 001; Yuan Xie 001; Indranil Chakraborty; Wenqin Huangfu; Ling Liang; Fengbin Tu; Cheng Wang 036; Mikail Yayla (ICCAD, 2021)

Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. - Yinghan Long; Indranil Chakraborty; Gopalakrishnan Srinivasan; Kaushik Roy 001 (ICDCS, 2021)

NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems. - Shubham Negi; Indranil Chakraborty; Aayush Ankit; Kaushik Roy 001 (CoRR, 2021)

NAX: neural architecture and memristive xbar based accelerator co-design. - Shubham Negi; Indranil Chakraborty; Aayush Ankit; Kaushik Roy 001 (DAC, 2022)

HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. - Adarsh Kosta; Efstathia Soufleri; Indranil Chakraborty; Amogh Agrawal; Aayush Ankit; Kaushik Roy 001 (DATE, 2022)

Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. - Utkarsh Saxena; Indranil Chakraborty; Kaushik Roy 001 (DATE, 2022)

Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators. - Kang He 004; Indranil Chakraborty; Cheng Wang 036; Kaushik Roy 001 (ICCAD, 2022)

On Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. - Chun Tao; Deboleena Roy; Indranil Chakraborty; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads. - Mustafa Fayez Ali; Indranil Chakraborty; Sakshi Choudhary; Muya Chang; Dong Eun Kim; Arijit Raychowdhury; Kaushik Roy 001 (CICC, 2023)

WWW: What, When, Where to Compute-in-Memory. - Tanvi Sharma; Mustafa Fayez Ali; Indranil Chakraborty; Kaushik Roy 001 (CoRR, 2023)

Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. - Nitin Rathi; Indranil Chakraborty; Adarsh Kosta; Abhronil Sengupta; Aayush Ankit; Priyadarshini Panda; Kaushik Roy 001 (ACM Comput. Surv., 2023)

Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators. - Timur Ibrayev; Isha Garg; Indranil Chakraborty; Kaushik Roy 001 (CoRR, 2024)

Evaluating Compute in Memory Architectures for Matrix Multiplication: A Dataflow-Centric Perspective. - Tanvi Sharma; Indranil Chakraborty; Mustafa Fayez Ali; Kaushik Roy 001 (ISPASS, 2025)