Bipin Rajendran

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 57

Top Topics

Bayesian Models

Handwritten Digit Recognition

Signal Processing

Top Venues

Publications

Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks. CoRR (2024)
Robert O. Shea, Prabodh Katti, Bipin Rajendran
Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning. CoRR (2024)
Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks. AICAS (2024)
Prabodh Katti, Anagha Nimbekar, Chen Li, Amit Acharyya, Bashir M. Al-Hashimi, Bipin Rajendran
Bayesian Inference Accelerator for Spiking Neural Networks. CoRR (2024)
Prabodh Katti, Anagha Nimbekar, Chen Li, Amit Acharyya, Bashir M. Al-Hashimi, Bipin Rajendran
Bayesian Inference Accelerator for Spiking Neural Networks. ISCAS (2024)
Yiming Ai, Bipin Rajendran
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces. AICAS (2023)
Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity. ISCAS (2023)
Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas, Wallace A. Martins, Geoffrey Eappen, Saed Daoud, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas
Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing. CoRR (2023)
Yiming Ai, Bipin Rajendran
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces. CoRR (2023)
Chen Li, Bipin Rajendran
Noise Adaptor in Spiking Neural Networks. CoRR (2023)
Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity. CoRR (2023)
Bipin Rajendran, Osvaldo Simeone, Bashir M. Al-Hashimi
Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design. CoRR (2023)
Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning. IEEE Trans. Computers 71 (11) (2022)
Bleema Rosenfeld, Bipin Rajendran, Osvaldo Simeone
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning. CoRR (2021)
Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran
Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks. CoRR (2021)
Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran
Hybrid In-Memory Computing Architecture for the Training of Deep Neural Networks. ISCAS (2021)
Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning. CoRR (2021)
S. R. Nandakumar, Bipin Rajendran
/W Memristor. CoRR (2020)
Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. ISCAS (2020)
Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon
Memristors - From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing. Adv. Intell. Syst. 2 (11) (2020)
Navin Anwani, Bipin Rajendran
Training multi-layer spiking neural networks using NormAD based spatio-temporal error backpropagation. Neurocomputing 380 (2020)
Shruti R. Kulkarni, Shihui Yin, Jae-sun Seo, Bipin Rajendran
An On-Chip Learning Accelerator for Spiking Neural Networks using STT-RAM Crossbar Arrays. DATE (2020)
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
Mixed-precision deep learning based on computational memory. CoRR (2020)
Anakha V. Babu, Osvaldo Simeone, Bipin Rajendran
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks. CoRR (2020)
Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. CoRR (2020)
Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon
Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing. CoRR (2020)
Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang
Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]. IEEE Signal Process. Mag. 36 (6) (2019)
Shruti R. Kulkarni, Deepak Vinayak Kadetotad, Shihui Yin, Jae-Sun Seo, Bipin Rajendran
Neuromorphic Hardware Accelerator for SNN Inference based on STT-RAM Crossbar Arrays. ICECS (2019)
Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou
Low-Power Neuromorphic Hardware for Signal Processing Applications. CoRR (2019)
S. R. Nandakumar, Irem Boybat, Vinay Joshi, Christophe Piveteau, Manuel Le Gallo, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Phase-Change Memory Models for Deep Learning Training and Inference. ICECS (2019)
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
Computational memory-based inference and training of deep neural networks. VLSI Circuits (2019)
Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Accurate deep neural network inference using computational phase-change memory. CoRR (2019)
Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou
Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches. IEEE Signal Process. Mag. 36 (6) (2019)
S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Bipin Rajendran
Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses. CoRR (2019)
Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients. SPAWC (2019)
Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran
Acceleration of Convolutional Networks Using Nanoscale Memristive Devices. EANN (2018)
Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran
Adversarial Training for Probabilistic Spiking Neural Networks. CoRR (2018)
Navin Anwani, Bipin Rajendran
Training Multilayer Spiking Neural Networks using NormAD based Spatio-Temporal Error Backpropagation. CoRR (2018)
Irem Boybat, S. R. Nandakumar, Manuel Le Gallo, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
Impact of conductance drift on multi-PCM synaptic architectures. NVMTS (2018)
Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
Live Demonstration: Image Classification Using Bio-inspired Spiking Neural Networks. ISCAS (2018)
Anakha V. Babu, Sandip Lashkare, Udayan Ganguly, Bipin Rajendran
Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics. Neurocomputing 321 (2018)
Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients. CoRR (2018)
Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran
Adversarial Training for Probabilistic Spiking Neural Networks. SPAWC (2018)
Shruti R. Kulkarni, Bipin Rajendran
Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization. Neural Networks 103 (2018)
S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Mixed-precision architecture based on computational memory for training deep neural networks. ISCAS (2018)
Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran
Training Probabilistic Spiking Neural Networks with First- To-Spike Decoding. ICASSP (2018)
Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran
Training Probabilistic Spiking Neural Networks with First-to-spike Decoding. CoRR (2017)
Anakha V. Babu, Bipin Rajendran
Stochastic deep learning in memristive networks. ICECS (2017)
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
An efficient synaptic architecture for artificial neural networks. NVMTS (2017)
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas P. Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
Neuromorphic computing with multi-memristive synapses. CoRR (2017)
Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
Learning and real-time classification of hand-written digits with spiking neural networks. ICECS (2017)
S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Mixed-precision training of deep neural networks using computational memory. CoRR (2017)
Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran
Spiking neural networks - Algorithms, hardware implementations and applications. MWSCAS (2017)
Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks. CoRR (2017)
Anakha V. Babu, Bipin Rajendran
Stochastic Deep Learning in Memristive Networks. CoRR (2017)
Bipin Rajendran, Fabien Alibart
Neuromorphic Computing Based on Emerging Memory Technologies. IEEE J. Emerg. Sel. Topics Circuits Syst. 6 (2) (2016)
Bipin Rajendran, Pulkit Tandon, Yash H. Malviya
Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats. NIPS (2016)
Bipin Rajendran, Udaya S. Ganguly, Manan Suri
Tutorial T1: Neuromorphic Computing - Algorithms, Devices and Systems. VLSI Design (2015)
Aditi Kothiyal, Bipin Rajendran, Sahana Murthy
Delayed Guidance: A Teaching-Learning Strategy to Develop Ill-Structured Problem Solving Skills in Engineering. LaTiCE (2015)
Sushrut Thorat, Bipin Rajendran
Arithmetic computing via rate coding in neural circuits with spike-triggered adaptive synapses. IJCNN (2015)
Prashant J. Nair, Chia-Chen Chou, Bipin Rajendran, Moinuddin K. Qureshi
Reducing read latency of phase change memory via early read and Turbo Read. HPCA (2015)
Navin Anwani, Bipin Rajendran
NormAD - Normalized Approximate Descent based supervised learning rule for spiking neurons. IJCNN (2015)
John Demme, Bipin Rajendran, Steven M. Nowick, Simha Sethumadhavan
Increasing reconfigurability with memristive interconnects. ICCD (2015)
Chaitanya Prasad N, Krishnakant Saboo, Bipin Rajendran
Composer classification based on temporal coding in adaptive spiking neural networks. IJCNN (2015)
Shibani Santurkar, Bipin Rajendran
C. elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance. IJCNN (2015)
Shruti R. Kulkarni, Bipin Rajendran
Scalable Digital CMOS Architecture for Spike Based Supervised Learning. EANN (2015)
Chirag Shetty, Sri Nitchith, Rishabh Rawat, S. R. Nandakumar, Pritesh Shah, Shruti R. Kulkarni, Bipin Rajendran
Live demonstration: Spiking neural circuit based navigation inspired by C. elegans thermotaxis. ISCAS (2015)
Shibani Santurkar, Bipin Rajendran
A neural circuit for navigation inspired by C. elegans Chemotaxis. CoRR (2014)
Ashish Bora, Arjun Rao, Bipin Rajendran
Mimicking the worm - An adaptive spiking neural circuit for contour tracking inspired by C. Elegans thermotaxis. IJCNN (2014)
Aniket Singha, Bhaskaran Muralidharan, Bipin Rajendran
Analog memristive time dependent learning using discrete nanoscale RRAM devices. IJCNN (2014)
Abhinav Anand, Aditi Kothiyal, Bipin Rajendran, Sahana Murthy
Guided Problem Solving and Group Programming: A Technology-Enhanced Teaching-Learning Strategy for Engineering Problem Solving. T4E (2014)
Shibani Santurkar, Bipin Rajendran
Sub-threshold CMOS Spiking Neuron Circuit Design for Navigation Inspired by C. elegans Chemotaxis. CoRR (2014)
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
Nanoscale electronic synapses using phase change devices. ACM J. Emerg. Technol. Comput. Syst. 9 (2) (2013)
Bipin Rajendran
Embedded tutorial - Can silicon machines match the efficiency of the human brain? VLSI Design (2013)
Bipin Rajendran, Albert K. Henning, Brian Cronquist, Zvi Or-Bach
Pulsed laser annealing: A scalable and practical technology for monolithic 3D IC. 3DIC (2013)
Manu Awasthi, Manjunath Shevgoor, Kshitij Sudan, Bipin Rajendran, Rajeev Balasubramonian, Viji Srinivasan
Efficient scrub mechanisms for error-prone emerging memories. HPCA (2012)
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
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons. CICC (2011)
H.-S. Philip Wong, Simone Raoux, SangBum Kim, Jiale Liang, John P. Reifenberg, Bipin Rajendran, Mehdi Asheghi, Kenneth E. Goodson
Phase Change Memory. Proc. IEEE 98 (12) (2010)
Luis Alfonso Lastras-Montaño, Michele Franceschini, Bipin Rajendran, C. Lam
Coding for sensing in Content Addressable Memories. ISIT (2010)
Bipin Rajendran, Pawan Kapur, Krishna Saraswat, R. Fabian, W. Pease
Self-consistent power/performance/reliability analysis for copper interconnects. SLIP (2004)
Bipin Rajendran, Veerbhan Kheterpal, Abhishek Das, Jayanta Majumder, Chittaranjan A. Mandal, P. P. Chakrabarti
Timing analysis of tree-like RLC circuits. ISCAS (4) (2002)