Dhireesha Kudithipudi

Alaa M. Abdul-Hadi

IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Learning Continually in Silicon.

[BibT_eX]

[DOI]

Jayanta Dey

Computer, October, 2024

Continual Learning: Applications and the Road Forward.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

TACOS: Task Agnostic Continual Learning in Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System.

[BibT_eX]

[DOI]

CoRR, 2024

Watch Your Step: Optimal Retrieval for Continual Learning at Scale.

[BibT_eX]

[DOI]

Truman Hickok

CoRR, 2024

Probabilistic Metaplasticity for Continual Learning with Memristors.

[BibT_eX]

[DOI]

Fatima Tuz Zohora

CoRR, 2024

Continual Learning and Catastrophic Forgetting.

[BibT_eX]

[DOI]

Gido M. van de Ven

CoRR, 2024

PositCL: Compact Continual Learning with Posit Aware Quantization.

[BibT_eX]

[DOI]

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design.

[BibT_eX]

[DOI]

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

A domain-agnostic approach for characterization of lifelong learning systems.

[BibT_eX]

[DOI]

Neural Networks, March, 2023

Design Principles for Lifelong Learning AI Accelerators.

[BibT_eX]

[DOI]

CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

[BibT_eX]

[DOI]

Konstantinos P. Michmizos

Gregor Lenz

Rajit Manohar

Christian Mayr

Kenneth Michael Stewart

CoRR, 2023

NEO: Neuron State Dependent Mechanisms for Efficient Continual Learning.

[BibT_eX]

[DOI]

Anurag Reddy Daram

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

Biological underpinnings for lifelong learning machines.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2022

SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning.

[BibT_eX]

[DOI]

Fatima Tuz Zohora

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Low-Shot Learning and Pattern Separation using Cellular Automata Integrated CNNs.

[BibT_eX]

[DOI]

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML.

[BibT_eX]

[DOI]

Becky Mashaido

Proceedings of the Next Generation Arithmetic - Third International Conference, 2022

2021

Toward Near-Real-Time Training With Semi-Random Deep Neural Networks and Tensor-Train Decomposition.

[BibT_eX]

[DOI]

Ryan Bryla

Uttam K. Majumder

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT.

[BibT_eX]

[DOI]

CoRR, 2021

MetaplasticNet: Architecture with Probabilistic Metaplastic Synapses for Continual Learning.

[BibT_eX]

[DOI]

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

ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Neuromorphic System for Spatial and Temporal Information Processing.

[BibT_eX]

[DOI]

Kevin Gomez

IEEE Trans. Computers, 2020

End-to-End Memristive HTM System for Pattern Recognition and Sequence Prediction.

[BibT_eX]

[DOI]

Kevin Gomez

CoRR, 2020

Relational Neurogenesis for Lifelong Learning Agents.

[BibT_eX]

[DOI]

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

FeFET-Based Neuromorphic Architecture with On-Device Feedback Alignment Training.

[BibT_eX]

[DOI]

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

Metaplasticity in Multistate Memristor Synaptic Networks.

[BibT_eX]

[DOI]

Fatima Tuz Zohora

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

Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge.

[BibT_eX]

[DOI]

John L. Gustafson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Neuromorphic Architecture for the Hierarchical Temporal Memory.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Guest Editorial: Special Issue on New Trends in Smart Chips and Smart Hardware.

[BibT_eX]

[DOI]

Guang-Bin Huang

E. S. Eleftheriou

Jonathan Tapson

Hao Yu

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Spiking Reservoir Networks: Brain-inspired recurrent algorithms that use random, fixed synaptic strengths.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2019

Neuromemrisitive Architecture of HTM with On-Device Learning and Neurogenesis.

[BibT_eX]

[DOI]

ACM J. Emerg. Technol. Comput. Syst., 2019

Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2019

Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge.

[BibT_eX]

[DOI]

David Pastuch

CoRR, 2019

Deep Learning Training on the Edge with Low-Precision Posits.

[BibT_eX]

[DOI]

CoRR, 2019

Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks.

[BibT_eX]

[DOI]

Char Khazanov

Jeffrey Lillie

John L. Gustafson

CoRR, 2019

Task-Based Neuromodulation Architecture for Lifelong Learning.

[BibT_eX]

[DOI]

Anurag Reddy Daram

Angel Yanguas-Gil

Proceedings of the 20th International Symposium on Quality Electronic Design, 2019

Neuromemristive Multi-Layer Random Projection Network with On-Device Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Exploiting Randomness in Deep Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Stochastic Tucker-Decomposed Recurrent Neural Networks for Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Deep Positron: A Deep Neural Network Using the Posit Number System.

[BibT_eX]

[DOI]

Char Khazanov

Jeffrey Lillie

John L. Gustafson

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Neuromorphic and cognitive computing and communication in hardware.

[BibT_eX]

[DOI]

Yang Cindy Yi

Nano Commun. Networks, 2018

Semi-Trained Memristive Crossbar Computing Engine with <i>In Situ</i> Learning Accelerator.

[BibT_eX]

[DOI]

ACM J. Emerg. Technol. Comput. Syst., 2018

Semi-Trained Memristive Crossbar Computing Engine with In-Situ Learning Accelerator.

[BibT_eX]

[DOI]

CoRR, 2018

Mod-DeepESN: Modular Deep Echo State Network.

[BibT_eX]

[DOI]

Stuart Burtner

CoRR, 2018

On the Statistical Challenges of Echo State Networks and Some Potential Remedies.

[BibT_eX]

[DOI]

Qiuyi Wu

CoRR, 2018

Secure Neural Circuits to Mitigate Correlation Power Analysis on SHA-3 Hash Function.

[BibT_eX]

[DOI]

James Thesing

Proceedings of the 31st International Conference on VLSI Design and 17th International Conference on Embedded Systems, 2018

On-Device Learning in Memristor Spiking Neural Networks.

[BibT_eX]

[DOI]

Seyed Hamed Fatemi Langroudi

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

Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2018

Scalable IP Core for Feed Forward Random Networks.

[BibT_eX]

[DOI]

Anurag Reddy Daram

Karan Paluru

Proceedings of ELM 2018, 2018

2017

Editorial: A Successful Year and Looking Forward to 2017 and Beyond.

[BibT_eX]

[DOI]

José Antonio Lozano

Teresa Bernarda Ludermir

IEEE Trans. Neural Networks Learn. Syst., 2017

HTM Spatial Pooler With Memristor Crossbar Circuits for Sparse Biometric Recognition.

[BibT_eX]

[DOI]

Alex Pappachen James

Irina Fedorova

Timur Ibrayev

IEEE Trans. Biomed. Circuits Syst., 2017

Stochastic CBRAM-Based Neuromorphic Time Series Prediction System.

[BibT_eX]

[DOI]

Manan Suri

Bryant T. Wysocki

ACM J. Emerg. Technol. Comput. Syst., 2017

Reservoir Computing in Embedded Systems: Three variants of the reservoir algorithm.

[BibT_eX]

[DOI]

Corey Merkel

Clare Thiem

Nathan R. McDonald

IEEE Consumer Electron. Mag., 2017

On accelerating stochastic neural networks.

[BibT_eX]

[DOI]

Swathika Ramakrishnan

Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017

Invited paper: Resource sharing in feed forward neural networks for energy efficiency.

[BibT_eX]

[DOI]

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

On-device STDP and synaptic normalization for neuromemristive spiking neural network.

[BibT_eX]

[DOI]

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

Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks.

[BibT_eX]

[DOI]

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

Extreme learning machine as a generalizable classification engine.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Robustness of a memristor based liquid state machine.

[BibT_eX]

[DOI]

Lydia Hays

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanence.

[BibT_eX]

[DOI]

Lakshmi Ravi

Seyed Hamed Fatemi Langroudi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Convolutional Drift Networks for Video Classification.

[BibT_eX]

[DOI]

Dillon Graham

Christopher Kanan

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016

A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler.

[BibT_eX]

[DOI]

James Mnatzaganian

Frontiers Robotics AI, 2016

Non-volatile Hierarchical Temporal Memory: Hardware for Spatial Pooling.

[BibT_eX]

[DOI]

Lennard Streat

Kevin Gomez

CoRR, 2016

A Mathematical Formalization of Hierarchical Temporal Memory Cortical Learning Algorithm's Spatial Pooler.

[BibT_eX]

[DOI]

James Mnatzaganian

CoRR, 2016

Unsupervised Learning in Neuromemristive Systems.

[BibT_eX]

[DOI]

CoRR, 2016

Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing.

[BibT_eX]

[DOI]

Raqibul Hasan

Tarek M. Taha

Sapan Agarwal

Matthew J. Marinella

Computer, 2016

Reconfigurable Digital Design of a Liquid State Machine for Spatio-Temporal Data.

[BibT_eX]

[DOI]

Anvesh Polepalli

Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, 2016

Invited: Towards a scalable neuromorphic hardware for classification and prediction with stochastic No-Prop algorithms.

[BibT_eX]

[DOI]

Dan Christiani

Proceedings of the 17th International Symposium on Quality Electronic Design, 2016

A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits.

[BibT_eX]

[DOI]

Timur Ibrayev

Alex Pappachen James

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Digital neuromorphic design of a Liquid State Machine for real-time processing.

[BibT_eX]

[DOI]

Anvesh Polepalli

Proceedings of the IEEE International Conference on Rebooting Computing, 2016

2015

Comparison of Off-Chip Training Methods for Neuromemristive Systems.

[BibT_eX]

[DOI]

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

Reconfigurable hardware architecture of the spatial pooler for hierarchical temporal memory.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International System-on-Chip Conference, 2015

Memristive computational architecture of an echo state network for real-time speech-emotion recognition.

[BibT_eX]

[DOI]

Qutaiba Saleh

Bryant T. Wysocki

Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015

Design and analysis of neuromemristive echo state networks with limited-precision synapses.

[BibT_eX]

[DOI]

Bryant T. Wysocki

Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015

2014

Nanoelectronics and Hardware Security.

[BibT_eX]

[DOI]

Garrett S. Rose

Proceedings of the Network Science and Cybersecurity, 2014

Design of Neuromorphic Architectures with Memristors.

[BibT_eX]

[DOI]

Proceedings of the Network Science and Cybersecurity, 2014

Temperature Sensing RRAM Architecture for 3-D ICs.

[BibT_eX]

[DOI]

IEEE Trans. Very Large Scale Integr. Syst., 2014

A stochastic learning algorithm for neuromemristive systems.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International System-on-Chip Conference, 2014

On designing circuit primitives for cortical processors with memristive hardware.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International System-on-Chip Conference, 2014

Neuromemristive Extreme Learning Machines for Pattern Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2014

A current-mode CMOS/memristor hybrid implementation of an extreme learning machine.

[BibT_eX]

[DOI]

Proceedings of the Great Lakes Symposium on VLSI 2014, GLSVLSI '14, Houston, TX, USA - May 21, 2014

Memristive Reservoir Computing Architecture for Epileptic Seizure Detection.

[BibT_eX]

[DOI]

Qutaiba Saleh

Colin Donahue

Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014

2013

Thermal Management in Many Core Systems.

[BibT_eX]

[DOI]

Qinru Qiu

Ayse K. Coskun

Proceedings of the Evolutionary Based Solutions for Green Computing, 2013

Memristor-Based Neural Logic Blocks for Nonlinearly Separable Functions.

[BibT_eX]

[DOI]

Michael Soltiz

Garrett S. Rose

Robinson E. Pino

IEEE Trans. Computers, 2013

Periodic activation functions in memristor-based analog neural networks.

[BibT_eX]

[DOI]

Nick Sereni

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Subthreshold Computing.

[BibT_eX]

[DOI]

J. Kevin Hicks

Proceedings of the Handbook of Energy-Aware and Green Computing - Two Volume Set., 2012

Towards Thermal Profiling in CMOS/Memristor Hybrid RRAM Architectures.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on VLSI Design, 2012

Lightweight energy prediction framework for solar-powered wireless sensor networks.

[BibT_eX]

[DOI]

Andres Kwasinski

Proceedings of the IEEE 25th International SOC Conference, 2012

Reconfigurable RRAM for LUT logic mapping: A case study for reliability enhancement.

[BibT_eX]

[DOI]

Matthew Catanzaro

Proceedings of the IEEE 25th International SOC Conference, 2012

RRAM-based adaptive neural logic block for implementing non-linearly separable functions in a single layer.

[BibT_eX]

[DOI]

Michael Soltiz

Garrett S. Rose

Proceedings of the 2012 IEEE/ACM International Symposium on Nanoscale Architectures, 2012

RRAM Motifs for Mitigating Differential Power Analysis Attacks (DPA).

[BibT_eX]

[DOI]

Ganesh Khedkar

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2012

Temperature-aware computing: Achievements and remaining challenges.

[BibT_eX]

[DOI]

Ayse K. Coskun

Sherief Reda

Qinru Qiu

Proceedings of the 2012 International Green Computing Conference, 2012

Design-time performance evaluation of thermal management policies for SRAM and RRAM based 3D MPSoCs.

[BibT_eX]

[DOI]

David Brenner

Proceedings of the Great Lakes Symposium on VLSI 2012, 2012

2011

Hybrid Subthreshold and Nearthreshold Design Methodology for Energy Minimization.

[BibT_eX]

[DOI]

J. Kevin Hicks

J. Low Power Electron., 2011

Execution characteristics of embedded applications on a Pentium 4-based personal computer.

[BibT_eX]

[DOI]

Pradeep S. Nair

Eugene B. John

Fred W. Hudson

J. Embed. Comput., 2011

Reconfigurable N-level memristor memory design.

[BibT_eX]

[DOI]

Nakul Nagpal

Sindhura Mandalapu

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Cooling mechanisms in 3D ICs: Thermo-mechanical perspective.

[BibT_eX]

[DOI]

Satish G. Kandlikar

Carlos A. Rubio-Jimenez

Proceedings of the 2011 International Green Computing Conference and Workshops, 2011

2010

Characterization of Variation Aware Nanoscale Static Random Access Memory Designs.

[BibT_eX]

[DOI]

Sreeharsha Tavva

J. Low Power Electron., 2010

Towards integrated circuit thermal profiling for reduced power consumption: Evaluation of distributed sensing techniques.

[BibT_eX]

[DOI]

Andres Kwasinski

Proceedings of the International Green Computing Conference 2010, 2010

Ultra low energy standard cell design optimization for performance and placement algorithm.

[BibT_eX]

[DOI]

Sumanth Amarchinta

Proceedings of the International Green Computing Conference 2010, 2010

Variation tolerant 9T SRAM cell design.

[BibT_eX]

[DOI]

Sreeharsha Tavva

Proceedings of the 20th ACM Great Lakes Symposium on VLSI 2009, 2010

Performance enhancement of subthreshold circuits using substrate biasing and charge-boosting buffers.

[BibT_eX]

[DOI]

Sumanth Amarchinta

Proceedings of the 20th ACM Great Lakes Symposium on VLSI 2009, 2010

2009

Implications of gated-Vss technique on leakage power in embedded caches.

[BibT_eX]

[DOI]

Int. J. Embed. Syst., 2009

Topology selection of FPGA look-up tables for low-leakage operation.

[BibT_eX]

[DOI]

Pradeep S. Nair

Santosh Koppa

Eugene B. John

Proceedings of the 19th European Conference on Circuit Theory and Design, 2009

2008

Caches for Multimedia Workloads: Power and Energy Tradeoffs.

[BibT_eX]

[DOI]

Stefan Petko

Eugene B. John

IEEE Trans. Multim., 2008

GALEOR: Leakage reduction for CMOS circuits.

[BibT_eX]

[DOI]

Srikanth Katrue

Proceedings of the 15th IEEE International Conference on Electronics, Circuits and Systems, 2008

2007

Static Power Analysis and Estimation in Ternary Content Addressable Memory Cells.

[BibT_eX]

[DOI]

J. Low Power Electron., 2007

2006

Performance Analysis of Embedded Applications on a Pentium-4 Based Machine.

[BibT_eX]

Pradeep S. Nair

Fred W. Hudson

Proceedings of the 2006 International Conference on Embedded Systems & Applications, 2006

2005

Implementation of Low Power Digital Multipliers using 10 -Transistor Adder Blocks.

[BibT_eX]

[DOI]

J. Low Power Electron., 2005

Parametrical characterization of leakage power in embedded system caches using gated-VSS.

[BibT_eX]

Proceedings of the Third IASTED International Conference on Circuits, 2005

2004

Impact of nanotechnology on the performance of CMOS digital multipliers.

[BibT_eX]

R. Kotha

Z. Pantic-Tanner

Proceedings of the Second IASTED International Conference on Circuits, 2004

2002

Cache performance of video computation workloads.

[BibT_eX]

[DOI]

Stefan Petko