Abu Sebastian
Orcid: 0000-0001-5603-5243
According to our database1,
Abu Sebastian
authored at least 124 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
Designing Circuits for AiMC Based on Non-Volatile Memories: A Tutorial Brief on Trade-Off and Strategies for ADCs and DACs Co-Design.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing.
CoRR, 2024
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures.
CoRR, 2024
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training.
CoRR, 2024
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles.
CoRR, 2024
2023
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors.
IEEE Wirel. Commun., August, 2023
ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning.
IEEE Trans. Computers, July, 2023
Nat. Mac. Intell., April, 2023
WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023
Raw data related to In-memory factorization of holographic perceptual representations.
Dataset, February, 2023
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing.
CoRR, 2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference.
CoRR, 2023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators.
CoRR, 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited).
Proceedings of the IEEE International Reliability Physics Symposium, 2023
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023
2022
Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars.
Neuromorph. Comput. Eng., 2022
Neuromorph. Comput. Eng., 2022
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator.
IEEE Micro, 2022
Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion.
IEEE Micro, 2022
HERMES-Core - A 1.59-TOPS/mm<sup>2</sup> PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs.
IEEE J. Solid State Circuits, 2022
MNEMOSENE: Tile Architecture and Simulator for Memristor-based Computation-in-memory.
ACM J. Emerg. Technol. Comput. Syst., 2022
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference.
CoRR, 2022
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics.
CoRR, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory.
Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
A Multi-Memristive Unit-Cell Array With Diagonal Interconnects for In-Memory Computing.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Efficient Pipelined Execution of CNNs Based on In-Memory Computing and Graph Homomorphism Verification.
IEEE Trans. Computers, 2021
Nat., 2021
Frontiers Comput. Neurosci., 2021
ERCIM News, 2021
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator.
CoRR, 2021
Measurement of onset of structural relaxation in melt-quenched phase change materials.
CoRR, 2021
HERMES Core - A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation.
Proceedings of the IEEE International Reliability Physics Symposium, 2021
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH).
Proceedings of the CF '21: Computing Frontiers Conference, 2021
A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors.
CoRR, 2020
Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing.
CoRR, 2020
Memristors - From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing.
Adv. Intell. Syst., 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
2019
Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches.
IEEE Signal Process. Mag., 2019
5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the IEEE International Reliability Physics Symposium, 2019
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
Proceedings of the Device Research Conference, 2019
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
2018
IEEE Trans. Circuits Syst. II Express Briefs, 2018
ERCIM News, 2018
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
CoRR, 2017
Proceedings of the 17th Non-Volatile Memory Technology Symposium, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
IEEE J. Emerg. Sel. Topics Circuits Syst., 2016
Proceedings of the 46th European Solid-State Device Research Conference, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Proceedings of the IEEE International Reliability Physics Symposium, 2015
2013
IEEE Trans. Control. Syst. Technol., 2013
Proceedings of the European Solid-State Device Research Conference, 2013
2012
IEEE Trans. Control. Syst. Technol., 2012
Tracking of Triangular References Using Signal Transformation for Control of a Novel AFM Scanner Stage.
IEEE Trans. Control. Syst. Technol., 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the American Control Conference, 2012
2011
Autom., 2011
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
Proceedings of the 14th ACM International Conference on Hybrid Systems: Computation and Control, 2011
2010
IEEE J. Sel. Areas Commun., 2010
Proceedings of the 17th IEEE International Conference on Electronics, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
High-speed intermittent-contact mode scanning probe microscopy using cantilevers with integrated electrostatic actuator and thermoelectric sensor.
Proceedings of the American Control Conference, 2009
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
On intermittent-contact mode sensing using electrostatically-actuated micro-cantilevers with integrated thermal sensors.
Proceedings of the American Control Conference, 2008
2007
A Review of the Systems Approach to the Analysis of Dynamic-Mode Atomic Force Microscopy.
IEEE Trans. Control. Syst. Technol., 2007
IEEE Trans. Control. Syst. Technol., 2007
Jitter Investigation and Performance Evaluation of a Small-Scale Probe Storage Device Prototype.
Proceedings of the Global Communications Conference, 2007
2005
IEEE Trans. Control. Syst. Technol., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the American Control Conference, 2005
2004
The amplitude phase dynamics and fixed points in tapping-mode atomic force microscopy.
Proceedings of the 2004 American Control Conference, 2004
Proceedings of the 2004 American Control Conference, 2004
2003
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
Proceedings of the American Control Conference, 2003
2002
Proceedings of the American Control Conference, 2002