Bipin Rajendran

103 papers A* 2A 1B 8C 11Misc 3Journal 54Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bayes2IMC: In-Memory Computing for Bayesian Binary Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. Prabodh Katti, Clement Ruah, Osvaldo Simeone, Bashir M. Al-Hashimi, Bipin Rajendran
2025	J	`jnl`	Closed-Form Feedback-Free Learning with Forward Projection. CoRR Robert O'Shea, Bipin Rajendran
2025	J	`jnl`	Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons. CoRR Dengyu Wu, Jiechen Chen, H. Vincent Poor, Bipin Rajendran, Osvaldo Simeone
2025	J	`jnl`	On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization. CoRR Prabodh Katti, Sangwoo Park, Bipin Rajendran, Osvaldo Simeone
2025	C	`conf`	Sparsity-Aware Optimization of In-Memory Bayesian Binary Neural Network Accelerators. ISCAS Prabodh Katti, Bashir M. Al-Hashimi, Bipin Rajendran
2025	J	`jnl`	Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning. CoRR Jiechen Chen, Bipin Rajendran, Osvaldo Simeone
2025	J	`jnl`	Turbo-ICL: In-Context Learning-Based Turbo Equalization. CoRR Zihang Song, Matteo Zecchin, Bipin Rajendran, Osvaldo Simeone
2025	J	`jnl`	Xpikeformer: Hybrid Analog-Digital Hardware Acceleration for Spiking Transformers. IEEE Trans. Very Large Scale Integr. Syst. Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran
2024	—	`conf`	Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning. EMBC Robert O'Shea, Prabodh Katti, Bipin Rajendran
2024	J	`jnl`	Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning. CoRR Robert O. Shea, Prabodh Katti, Bipin Rajendran
2024	J	`jnl`	Bayes2IMC: In-Memory Computing for Bayesian Binary Neural Networks. CoRR Prabodh Katti, Clement Ruah, Osvaldo Simeone, Bashir M. Al-Hashimi, Bipin Rajendran
2024	C	`conf`	Bayesian Inference Accelerator for Spiking Neural Networks. ISCAS Prabodh Katti, Anagha Nimbekar, Chen Li, Amit Acharyya, Bashir M. Al-Hashimi, Bipin Rajendran
2024	J	`jnl`	Bayesian Inference Accelerator for Spiking Neural Networks. CoRR Prabodh Katti, Anagha Nimbekar, Chen Li, Amit Acharyya, Bashir M. Al-Hashimi, Bipin Rajendran
2024	J	`jnl`	Efficient Deployment of Transformer Models in Analog In-Memory Computing Hardware. CoRR Chen Li, Corey Lammie, Manuel Le Gallo, Bipin Rajendran
2024	—	`conf`	Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology. SOCC Anagha Nimbekar, Prabodh Katti, Chen Li, Bashir M. Al-Hashimi, Amit Acharyya, Bipin Rajendran
2024	J	`jnl`	Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology. CoRR Anagha Nimbekar, Prabodh Katti, Chen Li, Bashir M. Al-Hashimi, Amit Acharyya, Bipin Rajendran
2024	—	`conf`	Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection. SPAWC Zihang Song, Osvaldo Simeone, Bipin Rajendran
2024	J	`jnl`	Neuromorphic Wireless Split Computing with Multi-Level Spikes. CoRR Dengyu Wu, Jiechen Chen, Bipin Rajendran, H. Vincent Poor, Osvaldo Simeone
2024	J	`jnl`	Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion. CoRR Chen Li, Bipin Rajendran
2024	J	`jnl`	Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications. IEEE Wirel. Commun. Eva Lagunas, Flor G. Ortiz-Gomez, Geoffrey Eappen, Saed Daoud, Wallace A. Martins, Jorge Querol, Symeon Chatzinotas, Nicolas Skatchkovsky, Bipin Rajendran, Osvaldo Simeone
2024	B	`conf`	Satellite Adaptive Onboard Beamforming Using Neuromorphic Processors. PIMRC Wallace A. Martins, Eva Lagunas, Nicolas Skatchkovsky, Flor Ortiz, Geoffrey Eappen, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas
2024	J	`jnl`	Sparsity-Aware Optimization of In-Memory Bayesian Binary Neural Network Accelerators. CoRR Prabodh Katti, Bashir M. Al-Hashimi, Bipin Rajendran
2024	—	`conf`	Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks. AICAS Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran
2024	J	`jnl`	Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks. CoRR Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran
2024	—	`conf`	Welcome Message from the Chairs. COINS Amit Singh, Payam M. Barnaghi, Geoff V. Merrett, Eiman Kanjo, Rishad A. Shafik, Aurora Gil de Castro, Florenc Demrozi, Federica Zonzini, Amna Anwar, Bipin Rajendran, Osvaldo Simeone
2024	J	`jnl`	Xpikeformer: Hybrid Analog-Digital Hardware Acceleration for Spiking Transformers. CoRR Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran
2023	—	`conf`	A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces. AICAS Yiming Ai, Bipin Rajendran
2023	J	`jnl`	A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces. CoRR Yiming Ai, Bipin Rajendran
2023	C	`conf`	Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity. ISCAS Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi
2023	J	`jnl`	Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity. CoRR Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi
2023	J	`jnl`	Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing. CoRR Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas, Wallace A. Martins, Geoffrey Eappen, Saed Daoud, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas
2023	J	`jnl`	Noise Adaptor in Spiking Neural Networks. CoRR Chen Li, Bipin Rajendran
2023	J	`jnl`	Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design. CoRR Bipin Rajendran, Osvaldo Simeone, Bashir M. Al-Hashimi
2022	J	`jnl`	Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning. IEEE Trans. Computers Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
2021	J	`jnl`	Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning. CoRR Bleema Rosenfeld, Bipin Rajendran, Osvaldo Simeone
2021	C	`conf`	Hybrid In-Memory Computing Architecture for the Training of Deep Neural Networks. ISCAS Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran
2021	J	`jnl`	Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks. CoRR Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran
2021	J	`jnl`	Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning. CoRR Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
2020	A	`conf`	An On-Chip Learning Accelerator for Spiking Neural Networks using STT-RAM Crossbar Arrays. DATE Shruti R. Kulkarni, Shihui Yin, Jae-sun Seo, Bipin Rajendran
2020	J	`jnl`	Bio-mimetic Synaptic Plasticity and Learning in a sub-500mV Cu/SiO CoRR S. R. Nandakumar, Bipin Rajendran
2020	C	`conf`	ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. ISCAS Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
2020	J	`jnl`	ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. CoRR Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
2020	J	`jnl`	Memristors - From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing. Adv. Intell. Syst. Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon
2020	J	`jnl`	Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing. CoRR Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon
2020	J	`jnl`	Mixed-precision deep learning based on computational memory. CoRR 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
2020	J	`jnl`	SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks. CoRR Anakha V. Babu, Osvaldo Simeone, Bipin Rajendran
2020	J	`jnl`	Training multi-layer spiking neural networks using NormAD based spatio-temporal error backpropagation. Neurocomputing Navin Anwani, Bipin Rajendran
2019	J	`jnl`	Accurate deep neural network inference using computational phase-change memory. CoRR Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2019	—	`conf`	Computational memory-based inference and training of deep neural networks. VLSI Circuits 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
2019	J	`jnl`	Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]. IEEE Signal Process. Mag. Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang
2019	—	`conf`	Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients. SPAWC Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
2019	J	`jnl`	Low-Power Neuromorphic Hardware for Signal Processing Applications. CoRR Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou
2019	J	`jnl`	Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches. IEEE Signal Process. Mag. Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou
2019	—	`conf`	Neuromorphic Hardware Accelerator for SNN Inference based on STT-RAM Crossbar Arrays. ICECS Shruti R. Kulkarni, Deepak Vinayak Kadetotad, Shihui Yin, Jae-sun Seo, Bipin Rajendran
2019	—	`conf`	Phase-Change Memory Models for Deep Learning Training and Inference. ICECS S. R. Nandakumar, Irem Boybat, Vinay Joshi, Christophe Piveteau, Manuel Le Gallo, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2019	J	`jnl`	Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses. CoRR S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Bipin Rajendran
2018	C	`conf`	Acceleration of Convolutional Networks Using Nanoscale Memristive Devices. EANN Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran
2018	—	`conf`	Adversarial Training for Probabilistic Spiking Neural Networks. SPAWC Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran
2018	J	`jnl`	Adversarial Training for Probabilistic Spiking Neural Networks. CoRR Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran
2018	—	`conf`	Impact of conductance drift on multi-PCM synaptic architectures. NVMTS Irem Boybat, S. R. Nandakumar, Manuel Le Gallo, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
2018	J	`jnl`	Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients. CoRR Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
2018	C	`conf`	Live Demonstration: Image Classification Using Bio-inspired Spiking Neural Networks. ISCAS Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
2018	C	`conf`	Mixed-precision architecture based on computational memory for training deep neural networks. ISCAS S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2018	J	`jnl`	Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization. Neural Networks Shruti R. Kulkarni, Bipin Rajendran
2018	J	`jnl`	Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics. Neurocomputing Anakha V. Babu, Sandip Lashkare, Udayan Ganguly, Bipin Rajendran
2018	J	`jnl`	Training Multilayer Spiking Neural Networks using NormAD based Spatio-Temporal Error Backpropagation. CoRR Navin Anwani, Bipin Rajendran
2018	Misc	`conf`	Training Probabilistic Spiking Neural Networks with First- To-Spike Decoding. ICASSP Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran
2017	—	`conf`	An efficient synaptic architecture for artificial neural networks. NVMTS Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
2017	J	`jnl`	Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks. CoRR Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
2017	—	`conf`	Learning and real-time classification of hand-written digits with spiking neural networks. ICECS Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
2017	J	`jnl`	Mixed-precision training of deep neural networks using computational memory. CoRR S. R. Nandakumar, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2017	J	`jnl`	Neuromorphic computing with multi-memristive synapses. CoRR Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas P. Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
2017	—	`conf`	Spiking neural networks - Algorithms, hardware implementations and applications. MWSCAS Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran
2017	J	`jnl`	Stochastic Deep Learning in Memristive Networks. CoRR Anakha V. Babu, Bipin Rajendran
2017	—	`conf`	Stochastic deep learning in memristive networks. ICECS Anakha V. Babu, Bipin Rajendran
2017	J	`jnl`	Training Probabilistic Spiking Neural Networks with First-to-spike Decoding. CoRR Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran
2016	—	`conf`	Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats. NIPS Bipin Rajendran, Pulkit Tandon, Yash H. Malviya
2016	J	`jnl`	Neuromorphic Computing Based on Emerging Memory Technologies. IEEE J. Emerg. Sel. Topics Circuits Syst. Bipin Rajendran, Fabien Alibart
2015	B	`conf`	Arithmetic computing via rate coding in neural circuits with spike-triggered adaptive synapses. IJCNN Sushrut Thorat, Bipin Rajendran
2015	B	`conf`	C. elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance. IJCNN Shibani Santurkar, Bipin Rajendran
2015	B	`conf`	Composer classification based on temporal coding in adaptive spiking neural networks. IJCNN Chaitanya Prasad N, Krishnakant V. Saboo, Bipin Rajendran
2015	—	`conf`	Delayed Guidance: A Teaching-Learning Strategy to Develop Ill-Structured Problem Solving Skills in Engineering. LaTiCE Aditi Kothiyal, Bipin Rajendran, Sahana Murthy
2015	C	`conf`	Increasing reconfigurability with memristive interconnects. ICCD John Demme, Bipin Rajendran, Steven M. Nowick, Simha Sethumadhavan
2015	C	`conf`	Live demonstration: Spiking neural circuit based navigation inspired by C. elegans thermotaxis. ISCAS Chirag Shetty, Sri Nitchith, Rishabh Rawat, S. R. Nandakumar, Pritesh Shah, Shruti R. Kulkarni, Bipin Rajendran
2015	B	`conf`	NormAD - Normalized Approximate Descent based supervised learning rule for spiking neurons. IJCNN Navin Anwani, Bipin Rajendran
2015	A*	`conf`	Reducing read latency of phase change memory via early read and Turbo Read. HPCA Prashant J. Nair, Chia-Chen Chou, Bipin Rajendran, Moinuddin K. Qureshi
2015	C	`conf`	Scalable Digital CMOS Architecture for Spike Based Supervised Learning. EANN Shruti R. Kulkarni, Bipin Rajendran
2015	Misc	`conf`	Tutorial T1: Neuromorphic Computing - Algorithms, Devices and Systems. VLSID Bipin Rajendran, Udaya S. Ganguly, Manan Suri
2014	J	`jnl`	A neural circuit for navigation inspired by C. elegans Chemotaxis. CoRR Shibani Santurkar, Bipin Rajendran
2014	B	`conf`	Analog memristive time dependent learning using discrete nanoscale RRAM devices. IJCNN Aniket Singha, Bhaskaran Muralidharan, Bipin Rajendran
2014	—	`conf`	Guided Problem Solving and Group Programming: A Technology-Enhanced Teaching-Learning Strategy for Engineering Problem Solving. T4E Abhinav Anand, Aditi Kothiyal, Bipin Rajendran, Sahana Murthy
2014	B	`conf`	Mimicking the worm - An adaptive spiking neural circuit for contour tracking inspired by C. Elegans thermotaxis. IJCNN Ashish Bora, Arjun Rao, Bipin Rajendran
2014	J	`jnl`	Sub-threshold CMOS Spiking Neuron Circuit Design for Navigation Inspired by C. elegans Chemotaxis. CoRR Shibani Santurkar, Bipin Rajendran
2013	Misc	`conf`	Embedded tutorial - Can silicon machines match the efficiency of the human brain? VLSI Design Bipin Rajendran
2013	J	`jnl`	Nanoscale electronic synapses using phase change devices. ACM J. Emerg. Technol. Comput. Syst. 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
2013	—	`conf`	Pulsed laser annealing: A scalable and practical technology for monolithic 3D IC. 3DIC Bipin Rajendran, Albert K. Henning, Brian Cronquist, Zvi Or-Bach
2012	A*	`conf`	Efficient scrub mechanisms for error-prone emerging memories. HPCA Manu Awasthi, Manjunath Shevgoor, Kshitij Sudan, Bipin Rajendran, Rajeev Balasubramonian, Viji Srinivasan
2011	—	`conf`	A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons. CICC 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
2011	—	`book`	Phase Change Memory: From Devices to Systems Phase Change Memory Moinuddin K. Qureshi, Sudhanva Gurumurthi, Bipin Rajendran
2010	B	`conf`	Coding for sensing in Content Addressable Memories. ISIT Luis Alfonso Lastras-Montaño, Michele Franceschini, Bipin Rajendran, C. Lam
2010	J	`jnl`	Phase Change Memory. Proc. IEEE H.-S. Philip Wong, Simone Raoux, Sangbum Kim, Jiale Liang, John P. Reifenberg, Bipin Rajendran, Mehdi Asheghi, Kenneth E. Goodson
2004	—	`conf`	Self-consistent power/performance/reliability analysis for copper interconnects. SLIP Bipin Rajendran, Pawan Kapur, Krishna Saraswat, R. Fabian W. Pease
2002	—	`conf`	Timing analysis of tree-like RLC circuits. ISCAS (4) Bipin Rajendran, Veerbhan Kheterpal, Abhishek Das, Jayanta Majumder, Chittaranjan A. Mandal, P. P. Chakrabarti