Abu Sebastian

According to our database1, Abu Sebastian authored at least 50 papers between 2005 and 2020.

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Bibliography

2020
Parallel convolution processing using an integrated photonic tensor core.
CoRR, 2020

Mixed-precision deep learning based on computational memory.
CoRR, 2020

2019
Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches.
IEEE Signal Process. Mag., 2019

Deep learning acceleration based on in-memory computing.
IBM Journal of Research and Development, 2019

5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory.
CoRR, 2019

Accurate deep neural network inference using computational phase-change memory.
CoRR, 2019

In-memory hyperdimensional computing.
CoRR, 2019

Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses.
CoRR, 2019

Low-Power Neuromorphic Hardware for Signal Processing Applications.
CoRR, 2019

Computational memory-based inference and training of deep neural networks.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Multi-ReRAM Synapses for Artificial Neural Network Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019


Phase-Change Memory Models for Deep Learning Training and Inference.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

Applications of Computation-In-Memory Architectures based on Memristive Devices.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Flux-Charge Memristor Model for Phase Change Memory.
IEEE Trans. on Circuits and Systems, 2018

In-Memory Computing: Towards Energy-Efficient Artificial Intelligence.
ERCIM News, 2018

In-memory computing on a photonic platform.
CoRR, 2018

Impact of conductance drift on multi-PCM synaptic architectures.
Proceedings of the Non-Volatile Memory Technology Symposium, 2018

Exploiting the non-linear current-voltage characteristics for resistive memory readout.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Mixed-precision architecture based on computational memory for training deep neural networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Spiking Neural Networks Enable Two-Dimensional Neurons and Unsupervised Multi-Timescale Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Mixed-precision training of deep neural networks using computational memory.
CoRR, 2017

Neuromorphic computing with multi-memristive synapses.
CoRR, 2017

Temporal correlation detection using computational phase-change memory.
CoRR, 2017

Mixed-Precision Memcomputing.
CoRR, 2017

An efficient synaptic architecture for artificial neural networks.
Proceedings of the 17th Non-Volatile Memory Technology Symposium, 2017

Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Recent Progress in Phase-Change Memory Technology.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2016

Inherent stochasticity in phase-change memory devices.
Proceedings of the 46th European Solid-State Device Research Conference, 2016

Probing the micromechanics of the fastest growing plant cell - The pollen tube.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
A collective relaxation model for resistance drift in phase change memory cells.
Proceedings of the IEEE International Reliability Physics Symposium, 2015

2013
Nanopositioning With Impulsive State Multiplication: A Hybrid Control Approach.
IEEE Trans. Contr. Sys. Techn., 2013

Nonvolatile resistive memory devices based on hydrogenated amorphous carbon.
Proceedings of the European Solid-State Device Research Conference, 2013

2012
Nanopositioning With Multiple Sensors: A Case Study in Data Storage.
IEEE Trans. Contr. Sys. Techn., 2012

Tracking of Triangular References Using Signal Transformation for Control of a Novel AFM Scanner Stage.
IEEE Trans. Contr. Sys. Techn., 2012

A dual-stage nanopositioning approach to high-speed scanning probe microscopy.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Optimal scan trajectories for high-speed scanning probe microscopy.
Proceedings of the American Control Conference, 2012

2011
An analysis of signal transformation approach to triangular waveform tracking.
Automatica, 2011

Programming algorithms for multilevel phase-change memory.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Impulsive control for nanopositioning: stability and performance.
Proceedings of the 14th ACM International Conference on Hybrid Systems: Computation and Control, 2011

2010
Channel Modeling and Signal Processing for Probe Storage Channels.
IEEE Journal on Selected Areas in Communications, 2010

Multilevel phase-change memory.
Proceedings of the 17th IEEE International Conference on Electronics, 2010

Stability of signal transformation method for triangular waveform tracking.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2008
Probe-based ultrahigh-density storage technology.
IBM Journal of Research and Development, 2008

Modeling and identification of the dynamics of electrostatically actuated microcantilever with integrated thermal sensor.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
A Review of the Systems Approach to the Analysis of Dynamic-Mode Atomic Force Microscopy.
IEEE Trans. Contr. Sys. Techn., 2007

Control of MEMS-Based Scanning-Probe Data-Storage Devices.
IEEE Trans. Contr. Sys. Techn., 2007

Jitter Investigation and Performance Evaluation of a Small-Scale Probe Storage Device Prototype.
Proceedings of the Global Communications Conference, 2007

2005
Design methodologies for robust nano-positioning.
IEEE Trans. Contr. Sys. Techn., 2005

Signal processing for probe storage.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005


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