Indranil Chakraborty

53 papers A* 4A 6B 2C 1Journal 35Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Analysis of Inflammation Regulatory Biomarkers among three Neuropsychiatric Disorders using Transcriptomic Approach. Neuroinformatics Indranil Chakraborty, Rahul Shaw, Kuntal Pal
2025	B	`conf`	Evaluating Compute in Memory Architectures for Matrix Multiplication: A Dataflow-Centric Perspective. ISPASS Tanvi Sharma, Indranil Chakraborty, Mustafa Fayez Ali, Kaushik Roy
2025	J	`jnl`	What, When, Where to Compute-in-Memory for Efficient Matrix Multiplication During Machine Learning Inference. IEEE Trans. Emerg. Top. Comput. Tanvi Sharma, Mustafa Fayez Ali, Indranil Chakraborty, Kaushik Roy
2024	J	`jnl`	Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators. CoRR Timur Ibrayev, Isha Garg, Indranil Chakraborty, Kaushik Roy
2023	—	`conf`	A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads. CICC Mustafa Fayez Ali, Indranil Chakraborty, Sakshi Choudhary, Muya Chang, Dong Eun Kim, Arijit Raychowdhury, Kaushik Roy
2023	J	`jnl`	Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Comput. Surv. Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy
2023	J	`jnl`	WWW: What, When, Where to Compute-in-Memory. CoRR Tanvi Sharma, Mustafa Fayez Ali, Indranil Chakraborty, Kaushik Roy
2022	A	`conf`	Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators. ICCAD Kang He, Indranil Chakraborty, Cheng Wang, Kaushik Roy
2022	A	`conf`	HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. DATE Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy
2022	A*	`conf`	NAX: neural architecture and memristive xbar based accelerator co-design. DAC Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy
2022	J	`jnl`	On Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. IEEE Trans. Very Large Scale Integr. Syst. Chun Tao, Deboleena Roy, Indranil Chakraborty, Kaushik Roy
2022	A	`conf`	Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. DATE Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy
2021	A	`conf`	A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding. DATE Jainaveen Sundaram, Srivatsa Rangachar Srinivasa, Dileep Kurian, Indranil Chakraborty, Sirisha Rani Kale, Nilesh Jain, Tanay Karnik, Ravi R. Iyer, Anuradha Srinivasan
2021	A	`conf`	Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla
2021	A	`conf`	Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. ICDCS Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy
2021	J	`jnl`	Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. CoRR Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy
2021	—	`conf`	Design Tools for Resistive Crossbar based Machine Learning Accelerators. AICAS Indranil Chakraborty, Sourjya Roy, Shrihari Sridharan, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Anand Raghunathan
2021	J	`jnl`	NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems. CoRR Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy
2021	A*	`conf`	On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks. DAC Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy
2021	J	`jnl`	On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. CoRR Deboleena Roy, Chun Tao, Indranil Chakraborty, Kaushik Roy
2020	J	`jnl`	Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators. IEEE Micro Aayush Ankit, Indranil Chakraborty, Amogh Agrawal, Mustafa Fayez Ali, Kaushik Roy
2020	J	`jnl`	Conditionally Deep Hybrid Neural Networks Across Edge and Cloud. CoRR Yinghan Long, Indranil Chakraborty, Kaushik Roy
2020	J	`jnl`	Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence. Nat. Mach. Intell. Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy
2020	A*	`conf`	GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. DAC Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy
2020	J	`jnl`	GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. CoRR Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy
2020	J	`jnl`	IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array. IEEE Trans. Circuits Syst. I Regul. Pap. Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy
2020	J	`jnl`	IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array. CoRR Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy
2020	A*	`conf`	In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. DAC Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal
2020	J	`jnl`	Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. Proc. IEEE Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Sourjya Roy, Shrihari Sridharan, Amogh Agrawal, Anand Raghunathan, Kaushik Roy
2020	J	`jnl`	Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy
2020	J	`jnl`	Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks? CoRR Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy
2019	J	`jnl`	8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann Computing. IEEE Trans. Very Large Scale Integr. Syst. Akhilesh Jaiswal, Indranil Chakraborty, Amogh Agrawal, Kaushik Roy
2019	—	`conf`	Digital and Analog-Mixed-Signal In-Memory Processing in CMOS SRAM. ACM Great Lakes Symposium on VLSI Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Mustafa Fayez Ali, Kaushik Roy
2019	J	`jnl`	Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks. IEEE Access Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy
2019	J	`jnl`	Discretization based Solutions for Secure Machine Learning against Adversarial Attacks. CoRR Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy
2019	J	`jnl`	Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. CoRR Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy
2019	J	`jnl`	Neural network accelerator design with resistive crossbars: Opportunities and challenges. IBM J. Res. Dev. Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan
2019	B	`conf`	On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. IJCNN Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy
2019	J	`jnl`	PCA-driven Hybrid network design for enabling Intelligence at the Edge. CoRR Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy
2019	C	`conf`	Scaling Deep Spiking Neural Networks with Binary Stochastic Activations. ICCC Deboleena Roy, Indranil Chakraborty, Kaushik Roy
2019	J	`jnl`	Simultaneous vs. sequential auctions with risk averse bidders. Games Econ. Behav. Indranil Chakraborty
2018	J	`jnl`	8T SRAM Cell as a Multi-bit Dot Product Engine for Beyond von-Neumann Computing. CoRR Akhilesh Jaiswal, Indranil Chakraborty, Amogh Agrawal, Kaushik Roy
2018	J	`jnl`	All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. CoRR Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy
2018	J	`jnl`	Capacitively Driven Global Interconnect with Magnetoelectric Switching Based Receiver for Higher Energy Efficiency. CoRR Zubair Al Azim, Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy
2018	J	`jnl`	Photonic Spiking Neural Networks - From Devices to Systems. CoRR Indranil Chakraborty, Gobinda Saha, Kaushik Roy
2018	J	`jnl`	Proposal for a Low Voltage Analog-to-Digital Converter using Voltage Controlled Stochastic Switching of Low Barrier Nanomagnets. CoRR Indranil Chakraborty, Amogh Agrawal, Kaushik Roy
2018	J	`jnl`	Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars. IEEE Trans. Emerg. Top. Comput. Intell. Indranil Chakraborty, Deboleena Roy, Kaushik Roy
2017	J	`jnl`	Energy-Efficient Memories using Magneto-Electric Switching of Ferromagnets. CoRR Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy
2017	J	`jnl`	Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars. CoRR Indranil Chakraborty, Deboleena Roy, Kaushik Roy
2015	—	`conf`	A selectorless RRAM with record memory window and nonlinearity based on trap filled limit mechanism. NVMTS Pankaj Kumbhare, Indranil Chakraborty, A. K. Singh, S. Chouhan, Neeraj Panwar, Udayan Ganguly
2008	J	`jnl`	Examining the effects of cognitive style in individuals' technology use decision making. Decis. Support Syst. Indranil Chakraborty, Paul Jen-Hwa Hu, Dai Cui
2006	J	`jnl`	Bundle and separate sales in auctions with entry. Games Econ. Behav. Indranil Chakraborty
2005	—	`conf`	Examining Effects of Cognitive Style on Technology Acceptance Decisions. PACIS Indranil Chakraborty, Paul Jen-Hwa Hu, Dai Cui