Bipin Rajendran

According to our database, Bipin Rajendran authored at least 74 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Xpikeformer: Hybrid Analog-Digital Hardware Acceleration for Spiking Transformers.

Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran

CoRR, 2024

Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning.

Robert O. Shea, Prabodh Katti, Bipin Rajendran

CoRR, 2024

Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection.

Zihang Song, Osvaldo Simeone, Bipin Rajendran

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology.

Anagha Nimbekar, Prabodh Katti, Chen Li, Bashir M. Al-Hashimi, Amit Acharyya, Bipin Rajendran

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

Bayesian Inference Accelerator for Spiking Neural Networks.

Prabodh Katti, Anagha Nimbekar, Chen Li, Amit Acharyya, Bashir M. Al-Hashimi, Bipin Rajendran

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Welcome Message from the Chairs.

Amit Singh, Payam Barnaghi, Geoff V. Merrett, Eiman Kanjo, Rishad A. Shafik, Aurora Gil de Castro, Florenc Demrozi, Federica Zonzini, Amna Anwar, Bipin Rajendran, Osvaldo Simeone

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks.

Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Noise Adaptor in Spiking Neural Networks.

Chen Li, Bipin Rajendran

CoRR, 2023

Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design.

Bipin Rajendran, Osvaldo Simeone, Bashir M. Al-Hashimi

CoRR, 2023

Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing.

Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas, Wallace A. Martins, Geoffrey Eappen, Saed Daoud, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas

CoRR, 2023

Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity.

Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces.

Yiming Ai, Bipin Rajendran

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning.

Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran

IEEE Trans. Computers, 2022

2021

Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning.

Bleema Rosenfeld, Bipin Rajendran, Osvaldo Simeone

CoRR, 2021

Hybrid In-Memory Computing Architecture for the Training of Deep Neural Networks.

Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Training multi-layer spiking neural networks using NormAD based spatio-temporal error backpropagation.

Navin Anwani, Bipin Rajendran

Neurocomputing, 2020

SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks.

Anakha V. Babu, Osvaldo Simeone, Bipin Rajendran

CoRR, 2020

Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing.

Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon

CoRR, 2020

Mixed-precision deep learning based on computational memory.

S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Vinay Joshi, Giovanni Mariani, Irem Boybat, Geethan Karunaratne, Riduan Khaddam-Aljameh, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

CoRR, 2020

Bio-mimetic Synaptic Plasticity and Learning in a sub-500mV Cu/SiO₂/W Memristor.

S. R. Nandakumar, Bipin Rajendran

CoRR, 2020

Memristors - From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing.

Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon

Adv. Intell. Syst., 2020

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning.

Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

An On-Chip Learning Accelerator for Spiking Neural Networks using STT-RAM Crossbar Arrays.

Shruti R. Kulkarni, Shihui Yin, Jae-sun Seo, Bipin Rajendran

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors].

Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang

IEEE Signal Process. Mag., 2019

Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches.

Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou

IEEE Signal Process. Mag., 2019

Accurate deep neural network inference using computational phase-change memory.

Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

CoRR, 2019

Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses.

S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Bipin Rajendran

CoRR, 2019

Low-Power Neuromorphic Hardware for Signal Processing Applications.

Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou

CoRR, 2019

Computational memory-based inference and training of deep neural networks.

Abu Sebastian, Irem Boybat, Martino Dazzi, Iason Giannopoulos, Vara Prasad Jonnalagadda, Vinay Joshi, Geethan Karunaratne, Benedikt Kersting, Riduan Khaddam-Aljameh, S. R. Nandakumar, Anastasios Petropoulos, Christophe Piveteau, Theodore Antonakopoulos, Bipin Rajendran, Manuel Le Gallo, Evangelos Eleftheriou

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients.

Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Phase-Change Memory Models for Deep Learning Training and Inference.

S. R. Nandakumar, Irem Boybat, Vinay Joshi, Christophe Piveteau, Manuel Le Gallo, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

Neuromorphic Hardware Accelerator for SNN Inference based on STT-RAM Crossbar Arrays.

Shruti R. Kulkarni, Deepak Vinayak Kadetotad, Shihui Yin, Jae-Sun Seo, Bipin Rajendran

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

2018

Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization.

Shruti R. Kulkarni, Bipin Rajendran

Neural Networks, 2018

Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics.

Anakha V. Babu, Sandip Lashkare, Udayan Ganguly, Bipin Rajendran

Neurocomputing, 2018

Training Multilayer Spiking Neural Networks using NormAD based Spatio-Temporal Error Backpropagation.

Navin Anwani, Bipin Rajendran

CoRR, 2018

Adversarial Training for Probabilistic Spiking Neural Networks.

Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Impact of conductance drift on multi-PCM synaptic architectures.

Irem Boybat, S. R. Nandakumar, Manuel Le Gallo, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou

Proceedings of the Non-Volatile Memory Technology Symposium, 2018

Mixed-precision architecture based on computational memory for training deep neural networks.

S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Live Demonstration: Image Classification Using Bio-inspired Spiking Neural Networks.

Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Training Probabilistic Spiking Neural Networks with First- To-Spike Decoding.

Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Acceleration of Convolutional Networks Using Nanoscale Memristive Devices.

Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran

Proceedings of the Engineering Applications of Neural Networks, 2018

2017

Mixed-precision training of deep neural networks using computational memory.

S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

CoRR, 2017

Neuromorphic computing with multi-memristive synapses.

Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas P. Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou

CoRR, 2017

An efficient synaptic architecture for artificial neural networks.

Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou

Proceedings of the 17th Non-Volatile Memory Technology Symposium, 2017

Spiking neural networks - Algorithms, hardware implementations and applications.

Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Learning and real-time classification of hand-written digits with spiking neural networks.

Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran

Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

Stochastic deep learning in memristive networks.

Anakha V. Babu, Bipin Rajendran

Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

2016

Neuromorphic Computing Based on Emerging Memory Technologies.

Bipin Rajendran, Fabien Alibart

IEEE J. Emerg. Sel. Topics Circuits Syst., 2016

Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats.

Bipin Rajendran, Pulkit Tandon, Yash H. Malviya

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Tutorial T1: Neuromorphic Computing - Algorithms, Devices and Systems.

Bipin Rajendran, Udaya S. Ganguly, Manan Suri

Proceedings of the 28th International Conference on VLSI Design, 2015

Delayed Guidance: A Teaching-Learning Strategy to Develop Ill-Structured Problem Solving Skills in Engineering.

Aditi Kothiyal, Bipin Rajendran, Sahana Murthy

Proceedings of the 2015 International Conference on Learning and Teaching in Computing and Engineering, 2015

Live demonstration: Spiking neural circuit based navigation inspired by C. elegans thermotaxis.

Chirag Shetty, Sri Nitchith, Rishabh Rawat, S. R. Nandakumar, Pritesh Shah, Shruti R. Kulkarni, Bipin Rajendran

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Arithmetic computing via rate coding in neural circuits with spike-triggered adaptive synapses.

Sushrut Thorat, Bipin Rajendran

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

C. elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance.

Shibani Santurkar, Bipin Rajendran

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Composer classification based on temporal coding in adaptive spiking neural networks.

Chaitanya Prasad N, Krishnakant V. Saboo, Bipin Rajendran

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

NormAD - Normalized Approximate Descent based supervised learning rule for spiking neurons.

Navin Anwani, Bipin Rajendran

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Increasing reconfigurability with memristive interconnects.

John Demme, Bipin Rajendran, Steven M. Nowick, Simha Sethumadhavan

Proceedings of the 33rd IEEE International Conference on Computer Design, 2015

Reducing read latency of phase change memory via early read and Turbo Read.

Prashant J. Nair, Chia-Chen Chou, Bipin Rajendran, Moinuddin K. Qureshi

Proceedings of the 21st IEEE International Symposium on High Performance Computer Architecture, 2015

Scalable Digital CMOS Architecture for Spike Based Supervised Learning.

Shruti R. Kulkarni, Bipin Rajendran

Proceedings of the Engineering Applications of Neural Networks, 2015

2014

Sub-threshold CMOS Spiking Neuron Circuit Design for Navigation Inspired by C. elegans Chemotaxis.

Shibani Santurkar, Bipin Rajendran

CoRR, 2014

A neural circuit for navigation inspired by C. elegans Chemotaxis.

Shibani Santurkar, Bipin Rajendran

CoRR, 2014

Guided Problem Solving and Group Programming: A Technology-Enhanced Teaching-Learning Strategy for Engineering Problem Solving.

Abhinav Anand, Aditi Kothiyal, Bipin Rajendran, Sahana Murthy

Proceedings of the Sixth IEEE International Conference on Technology for Education, 2014

Analog memristive time dependent learning using discrete nanoscale RRAM devices.

Aniket Singha, Bhaskaran Muralidharan, Bipin Rajendran

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Mimicking the worm - An adaptive spiking neural circuit for contour tracking inspired by C. Elegans thermotaxis.

Ashish Bora, Arjun Rao, Bipin Rajendran

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Nanoscale electronic synapses using phase change devices.

Bryan L. Jackson, Bipin Rajendran, Gregory S. Corrado, Matthew J. Breitwisch, Geoffrey W. Burr, Roger Cheek, Kailash Gopalakrishnan, Simone Raoux, Charles T. Rettner, Alvaro Padilla, Alejandro G. Schrott, Rohit S. Shenoy, Bülent N. Kurdi, Chung Hon Lam, Dharmendra S. Modha

ACM J. Emerg. Technol. Comput. Syst., 2013

Embedded tutorial - Can silicon machines match the efficiency of the human brain?

Bipin Rajendran

Proceedings of the 26th International Conference on VLSI Design and 12th International Conference on Embedded Systems, 2013

Pulsed laser annealing: A scalable and practical technology for monolithic 3D IC.

Bipin Rajendran, Albert K. Henning, Brian Cronquist, Zvi Or-Bach

Proceedings of the 2013 IEEE International 3D Systems Integration Conference (3DIC), 2013

2012

Efficient scrub mechanisms for error-prone emerging memories.

Manu Awasthi, Manjunath Shevgoor, Kshitij Sudan, Bipin Rajendran, Rajeev Balasubramonian, Viji Srinivasan

Proceedings of the 18th IEEE International Symposium on High Performance Computer Architecture, 2012

2011

Phase Change Memory: From Devices to Systems

Moinuddin K. Qureshi, Sudhanva Gurumurthi, Bipin Rajendran

Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01735-3, 2011

A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons.

Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D. Parker, Steven K. Esser, Robert K. Montoye, Bipin Rajendran, José A. Tierno, Leland Chang, Dharmendra S. Modha, Daniel J. Friedman

Proceedings of the 2011 IEEE Custom Integrated Circuits Conference, 2011

2010

Phase Change Memory.

H.-S. Philip Wong, Simone Raoux, SangBum Kim, Jiale Liang, John P. Reifenberg, Bipin Rajendran, Mehdi Asheghi, Kenneth E. Goodson

Proc. IEEE, 2010

Coding for sensing in Content Addressable Memories.

Luis Alfonso Lastras-Montaño, Michele Franceschini, Bipin Rajendran, C. Lam

Proceedings of the IEEE International Symposium on Information Theory, 2010

2004

Self-consistent power/performance/reliability analysis for copper interconnects.

Bipin Rajendran, Pawan Kapur, Krishna Saraswat, R. Fabian W. Pease

Proceedings of the Sixth International Workshop on System-Level Interconnect Prediction (SLIP 2004), 2004

2002

Timing analysis of tree-like RLC circuits.

Bipin Rajendran, Veerbhan Kheterpal, Abhishek Das, Jayanta Majumder, Chittaranjan A. Mandal, P. P. Chakrabarti

Proceedings of the 2002 International Symposium on Circuits and Systems, 2002