Abbas Rahimi

Orcid: 0000-0003-3141-4970

According to our database1, Abbas Rahimi authored at least 114 papers between 2010 and 2024.

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Bibliography

2024
Limits of Transformer Language Models on Learning Algorithmic Compositions.
CoRR, 2024

Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures.
CoRR, 2024

Towards Automating Model-Based Systems Engineering in Industry - An Experience Report.
Proceedings of the IEEE International Systems Conference, 2024

Terminating Differentiable Tree Experts.
Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Towards Learning Abductive Reasoning Using VSA Distributed Representations.
Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

12 mJ Per Class On-Device Online Few-Shot Class-Incremental Learning.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Zero-Shot Classification Using Hyperdimensional Computing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

A neuro-vector-symbolic architecture for solving Raven's progressive matrices.
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

Few-Shot Continual Learning Based on Vector Symbolic Architectures.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges.
ACM Comput. Surv., 2023

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations.
ACM Comput. Surv., 2023

TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing.
CoRR, 2023

Model-Driven Engineering for Artificial Intelligence - A Systematic Literature Review.
CoRR, 2023

Factorizers for Distributed Sparse Block Codes.
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

Solving Raven's Progressive Matrices via a Neuro-vector-symbolic Architecture.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Decoding Superpositions of Bound Symbols Represented by Distributed Representations.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

VSA-based Positional Encoding Can Replace Recurrent Networks in Emergent Symbol Binding.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Towards Generating Structurally Realistic Models by Generative Adversarial Networks.
Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2023

2022
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware.
Proc. IEEE, 2022

In-memory factorization of holographic perceptual representations.
CoRR, 2022

Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing.
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

Constrained Few-shot Class-incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection.
IEEE J. Biomed. Health Informatics, 2021

Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A 5 μW Standard Cell Memory-Based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Guest Editorial: IEEE TC Special Issue On Smart Edge Computing and IoT.
IEEE Trans. Computers, 2021

Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing.
ERCIM News, 2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.
CoRR, 2021

Near-channel classifier: symbiotic communication and classification in high-dimensional space.
Brain Informatics, 2021

Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper).
Proceedings of the 32nd IEEE International Conference on Application-specific 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
Hyperdimensional Computing With Local Binary Patterns: One-Shot Learning of Seizure Onset and Identification of Ictogenic Brain Regions Using Short-Time iEEG Recordings.
IEEE Trans. Biomed. Eng., 2020

Autoscaling Bloom filter: controlling trade-off between true and false positives.
Neural Comput. Appl., 2020

Hyperdimensional Computing for Blind and One-Shot Classification of EEG Error-Related Potentials.
Mob. Networks Appl., 2020

Binarization Methods for Motor-Imagery Brain-Computer Interface Classification.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Robust High-dimensional Memory-augmented Neural Networks.
CoRR, 2020

Explainable Deep Learning for Medical Time Series Data.
Proceedings of the Wireless Mobile Communication and Healthcare, 2020

Integrating event-based dynamic vision sensors with sparse hyperdimensional computing: a low-power accelerator with online learning capability.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

Compressing Subject-specific Brain-Computer Interface Models into One Model by Superposition in Hyperdimensional Space.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Evolvable Hyperdimensional Computing: Unsupervised Regeneration of Associative Memory to Recover Faulty Components.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

Binary Models for Motor-Imagery Brain-Computer Interfaces: Sparse Random Projection and Binarized SVM.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Resistive CAM Acceleration for Tunable Approximate Computing.
IEEE Trans. Emerg. Top. Comput., 2019

Online Learning and Classification of EMG-Based Gestures on a Parallel Ultra-Low Power Platform Using Hyperdimensional Computing.
IEEE Trans. Biomed. Circuits Syst., 2019

Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals.
Proc. IEEE, 2019

Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory.
ACM J. Emerg. Technol. Comput. Syst., 2019

In-memory hyperdimensional computing.
CoRR, 2019

Adaptive EMG-based hand gesture recognition using hyperdimensional computing.
CoRR, 2019

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

Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

Hyperdimensional Computing-based Multimodality Emotion Recognition with Physiological Signals.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018
Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-Stage Tunable Approximate Search in Resistive Associative Memory.
IEEE Trans. Multi Scale Comput. Syst., 2018

CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units.
IEEE Trans. Computers, 2018

Hyperdimensional Computing Exploiting Carbon Nanotube FETs, Resistive RAM, and Their Monolithic 3D Integration.
IEEE J. Solid State Circuits, 2018

Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces.
CoRR, 2018

Hyperdimensional Computing Nanosystem.
CoRR, 2018

Brain-inspired computing exploiting carbon nanotube FETs and resistive RAM: Hyperdimensional computing case study.
Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018

An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

An 826 MOPS, 210uW/MHz Unum ALU in 65 nm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features.
Proceedings of the 26th European Signal Processing Conference, 2018

PULP-HD: accelerating brain-inspired high-dimensional computing on a parallel ultra-low power platform.
Proceedings of the 55th Annual Design Automation Conference, 2018

One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

HDNA: Energy-efficient DNA sequencing using hyperdimensional computing.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
High-Dimensional Computing as a Nanoscalable Paradigm.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Low-Power Sparse Hyperdimensional Encoder for Language Recognition.
IEEE Des. Test, 2017

An 826 MOPS, 210 uW/MHz Unum ALU in 65 nm.
CoRR, 2017

Autoscaling Bloom Filter: Controlling Trade-off Between True and False Positives.
CoRR, 2017

Human-centric computing - The case for a Hyper-Dimensional approach.
Proceedings of the 7th IEEE International Workshop on Advances in Sensors and Interfaces, 2017

VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

Exploring Hyperdimensional Associative Memory.
Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

SLoT: A supervised learning model to predict dynamic timing errors of functional units.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Efficient neural network acceleration on GPGPU using content addressable memory.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016
Variability Mitigation in Nanometer CMOS Integrated Systems: A Survey of Techniques From Circuits to Software.
Proc. IEEE, 2016

Associative Memristive Memory for Approximate Computing in GPUs.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2016

CIRCA-GPUs: Increasing Instruction Reuse Through Inexact Computing in GP-GPUs.
IEEE Des. Test, 2016

A low-power hybrid magnetic cache architecture exploiting narrow-width values.
Proceedings of the 5th Non-Volatile Memory Systems and Applications Symposium, 2016

A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

Hyperdimensional biosignal processing: A case study for EMG-based hand gesture recognition.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016

WILD: A workload-based learning model to predict dynamic delay of functional units.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

Grater: An approximation workflow for exploiting data-level parallelism in FPGA acceleration.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Resistive configurable associative memory for approximate computing.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Resistive Bloom filters: From approximate membership to approximate computing with bounded errors.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2015
From Variability-Tolerance to Approximate Computing in Parallel Computing Architectures.
PhD thesis, 2015

Aging-Aware Compilation for GP-GPUs.
ACM Trans. Archit. Code Optim., 2015

Axilog: Abstractions for Approximate Hardware Design and Reuse.
IEEE Micro, 2015

NSF expedition on variability-aware software: Recent results and contributions.
it Inf. Technol., 2015

Supervised learning based model for predicting variability-induced timing errors.
Proceedings of the IEEE 13th International New Circuits and Systems Conference, 2015

Axilog: language support for approximate hardware design.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

Approximate associative memristive memory for energy-efficient GPUs.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

Task scheduling strategies to mitigate hardware variability in embedded shared memory clusters.
Proceedings of the 52nd Annual Design Automation Conference, 2015

2014
Application-Adaptive Guardbanding to Mitigate Static and Dynamic Variability.
IEEE Trans. Computers, 2014

Improving Resilience to Timing Errors by Exposing Variability Effects to Software in Tightly-Coupled Processor Clusters.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2014

Energy-efficient mapping of biomedical applications on domain-specific accelerator under process variation.
Proceedings of the International Symposium on Low Power Electronics and Design, 2014

Temporal memoization for energy-efficient timing error recovery in GPGPUs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

Energy-Efficient GPGPU Architectures via Collaborative Compilation and Memristive Memory-Based Computing.
Proceedings of the 51st Annual Design Automation Conference 2014, 2014

2013
Spatial Memoization: Concurrent Instruction Reuse to Correct Timing Errors in SIMD Architectures.
IEEE Trans. Circuits Syst. II Express Briefs, 2013

Variation-tolerant OpenMP tasking on tightly-coupled processor clusters.
Proceedings of the Design, Automation and Test in Europe, 2013

Hierarchically focused guardbanding: an adaptive approach to mitigate PVT variations and aging.
Proceedings of the Design, Automation and Test in Europe, 2013

Aging-aware compiler-directed VLIW assignment for GPGPU architectures.
Proceedings of the 50th Annual Design Automation Conference 2013, 2013

A variability-aware OpenMP environment for efficient execution of accuracy-configurable computation on shared-FPU processor clusters.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2013

ARGO: Aging-aware GPGPU register file allocation.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2013

2012
Procedure hopping: a low overhead solution to mitigate variability in shared-L1 processor clusters.
Proceedings of the International Symposium on Low Power Electronics and Design, 2012

Analysis of instruction-level vulnerability to dynamic voltage and temperature variations.
Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012

2011
Low-energy GALS NoC with FIFO - Monitoring dynamic voltage scaling.
Microelectron. J., 2011

A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters.
Proceedings of the Design, Automation and Test in Europe, 2011

2010
A High Throughput Low Power FIFO Used for GALS NoC Buffers.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2010


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