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ORCIDAbbas Rahimi
- > Home > Persons > Abbas Rahimi
Publications
- 2024
[c60]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-Shot Classification Using Hyperdimensional Computing. DATE 2024: 1-2- [c59]Yoga Esa Wibowo, Cristian Cioflan, Thorir Mar Ingolfsson, Michael Hersche, Leo Zhao, Abbas Rahimi, Luca Benini:
12 mJ Per Class On-Device Online Few-Shot Class-Incremental Learning. DATE 2024: 1-6 - [i33]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-shot Classification using Hyperdimensional Computing. CoRR abs/2401.16876 (2024) - [i31]Yoga Esa Wibowo, Cristian Cioflan, Thorir Mar Ingolfsson, Michael Hersche, Leo Zhao, Abbas Rahimi, Luca Benini:
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning. CoRR abs/2403.07851 (2024) - 2023
- [j32]Michael Hersche
, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi:
A neuro-vector-symbolic architecture for solving Raven's progressive matrices. Nat. Mac. Intell. 5(4): 363-375 (2023) - [c52]Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi:
Solving Raven's Progressive Matrices via a Neuro-vector-symbolic Architecture. NeSy 2023: 425-426 - [c51]Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. NeurIPS 2023 - [d1]Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Raw data related to In-memory factorization of holographic perceptual representations. Zenodo, 2023
- [i27]Michael Hersche, Aleksandar Terzic, Geethan Karunaratne, Jovin Langenegger, Angéline Pouget, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Factorizers for Distributed Sparse Block Codes. CoRR abs/2303.13957 (2023) - [i25]Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. CoRR abs/2312.02829 (2023) - [i24]Aleksandar Terzic, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing. CoRR abs/2312.05605 (2023) - 2022
- [c50]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CVPR 2022: 9047-9057 - [c49]Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo, Urs Egger, Kevin Brew, Samuel Choi, Injo Ok, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi:
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. ESSCIRC 2022: 105-108 - [i23]Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi:
A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices. CoRR abs/2203.04571 (2022) - [i21]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CoRR abs/2203.16588 (2022) - [i19]Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo, Urs Egger, Kevin Brew, Samuel Choi, Injo Ok, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi:
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. CoRR abs/2207.06810 (2022) - [i18]Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
In-memory factorization of holographic perceptual representations. CoRR abs/2211.05052 (2022) - 2021
- [j29]Michael Hersche, Stefan Lippuner, Matthias Korb, Luca Benini, Abbas Rahimi:
Near-channel classifier: symbiotic communication and classification in high-dimensional space. Brain Informatics 8(1): 16 (2021) - [j28]Luca Benini, Simone Benatti, Taekwang Jang, Abbas Rahimi:
Guest Editorial: IEEE TC Special Issue On Smart Edge Computing and IoT. IEEE Trans. Computers 70(8): 1146-1147 (2021) - [j27]Manuel Eggimann, Abbas Rahimi, Luca Benini:
A 5 μW Standard Cell Memory-Based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing. IEEE Trans. Circuits Syst. I Regul. Pap. 68(10): 4116-4128 (2021) - [j26]Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1725-1729 (2021) - [j25]Alessio Burrello, Simone Benatti, Kaspar Schindler, Luca Benini, Abbas Rahimi:
An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection. IEEE J. Biomed. Health Informatics 25(4): 935-946 (2021) - [i17]Manuel Eggimann, Abbas Rahimi, Luca Benini:
A 5 μW Standard Cell Memory-based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing. CoRR abs/2102.02758 (2021) - [i15]Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Energy Efficient In-memory Hyperdimensional Encoding for Spatio-temporal Signal Processing. CoRR abs/2106.11654 (2021) - 2020
- [j24]Michael Hersche, Luca Benini, Abbas Rahimi:
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 567-577 (2020) - [j21]Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi:
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. 67(2): 601-613 (2020) - [c45]Michael Hersche, Luca Benini, Abbas Rahimi:
Binary Models for Motor-Imagery Brain-Computer Interfaces: Sparse Random Projection and Binarized SVM. AICAS 2020: 163-167 - [c44]Michael Hersche, Sara Sangalli, Luca Benini, Abbas Rahimi:
Evolvable Hyperdimensional Computing: Unsupervised Regeneration of Associative Memory to Recover Faulty Components. AICAS 2020: 281-285 - [c43]Michael Hersche, Philipp Rupp, Luca Benini, Abbas Rahimi:
Compressing Subject-specific Brain-Computer Interface Models into One Model by Superposition in Hyperdimensional Space. DATE 2020: 246-251 - [c42]Michael Hersche, Edoardo Mello Rella, Alfio Di Mauro, Luca Benini, Abbas Rahimi:
Integrating event-based dynamic vision sensors with sparse hyperdimensional computing: a low-power accelerator with online learning capability. ISLPED 2020: 169-174 - [c41]Thomas Frick, Stefan Glüge, Abbas Rahimi, Luca Benini, Thomas Brunschwiler:
Explainable Deep Learning for Medical Time Series Data. MobiHealth 2020: 244-256 - [i11]Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Robust High-dimensional Memory-augmented Neural Networks. CoRR abs/2010.01939 (2020) - [i10]Michael Hersche, Luca Benini, Abbas Rahimi:
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification. CoRR abs/2010.07004 (2020) - 2019
- [j20]Manuel Schmuck, Luca Benini, Abbas Rahimi:
Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory. ACM J. Emerg. Technol. Comput. Syst. 15(4): 32:1-32:25 (2019) - [j19]Abbas Rahimi, Pentti Kanerva, Luca Benini, Jan M. Rabaey:
Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals. Proc. IEEE 107(1): 123-143 (2019) - [j18]Simone Benatti, Fabio Montagna, Victor Javier Kartsch, Abbas Rahimi, Davide Rossi, Luca Benini:
Online Learning and Classification of EMG-Based Gestures on a Parallel Ultra-Low Power Platform Using Hyperdimensional Computing. IEEE Trans. Biomed. Circuits Syst. 13(3): 516-528 (2019) - [c40]En-Jui Chang, Abbas Rahimi, Luca Benini, An-Yeu Andy Wu:
Hyperdimensional Computing-based Multimodality Emotion Recognition with Physiological Signals. AICAS 2019: 137-141 - [c39]Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, Luca Benini, Jan M. Rabaey:
Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing. BioCAS 2019: 1-4 - [c38]Said Hamdioui, Hoang Anh Du Nguyen, Mottaqiallah Taouil, Abu Sebastian, Manuel Le Gallo, Sandeep Pande, Siebren Schaafsma, Francky Catthoor, Shidhartha Das, Fernando García-Redondo, Geethan Karunaratne, Abbas Rahimi, Luca Benini:
Applications of Computation-In-Memory Architectures based on Memristive Devices. DATE 2019: 486-491 - [c37]Alessio Burrello, Lukas Cavigelli, Kaspar Schindler, Luca Benini, Abbas Rahimi:
Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms. DATE 2019: 752-757 - [i9]Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, George Alexandrov, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan, Fred L. Burghardt, Ana C. Arias, Luca Benini, Jan M. Rabaey:
Adaptive EMG-based hand gesture recognition using hyperdimensional computing. CoRR abs/1901.00234 (2019) - [i8]Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian:
In-memory hyperdimensional computing. CoRR abs/1906.01548 (2019) - 2018
- [c35]Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi:
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. BioCAS 2018: 1-4 - [c34]Fabio Montagna, Abbas Rahimi, Simone Benatti, Davide Rossi, Luca Benini:
PULP-HD: accelerating brain-inspired high-dimensional computing on a parallel ultra-low power platform. DAC 2018: 111:1-111:6 - [c33]Michael Hersche, Tino Rellstab, Pasquale Davide Schiavone, Lukas Cavigelli, Luca Benini, Abbas Rahimi:
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features. EUSIPCO 2018: 1690-1694 - [c32]Florian Glaser, Stefan Mach, Abbas Rahimi, Frank K. Gürkaynak, Qiuting Huang, Luca Benini:
An 826 MOPS, 210uW/MHz Unum ALU in 65 nm. ISCAS 2018: 1-5 - [c31]Ali Moin, Andy Zhou, Abbas Rahimi, Simone Benatti, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan, Fred L. Burghardt, Luca Benini, Ana C. Arias, Jan M. Rabaey:
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier. ISCAS 2018: 1-5 - [i7]Ali Moin, Andy Zhou, Abbas Rahimi, Simone Benatti, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan, Fred L. Burghardt, Luca Benini, Ana C. Arias, Jan M. Rabaey:
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier. CoRR abs/1802.10237 (2018) - [i6]Manuel Schmuck, Luca Benini, Abbas Rahimi:
Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory. CoRR abs/1807.08583 (2018) - [i5]Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi:
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. CoRR abs/1809.01926 (2018) - [i3]Michael Hersche, José del R. Millán, Luca Benini, Abbas Rahimi:
Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces. CoRR abs/1812.05705 (2018) - 2017
- [i1]Florian Glaser, Stefan Mach, Abbas Rahimi, Frank K. Gürkaynak, Qiuting Huang, Luca Benini:
An 826 MOPS, 210 uW/MHz Unum ALU in 65 nm. CoRR abs/1712.01021 (2017) - 2016
- [j10]Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
CIRCA-GPUs: Increasing Instruction Reuse Through Inexact Computing in GP-GPUs. IEEE Des. Test 33(6): 85-92 (2016) - [j9]Amirali Ghofrani, Abbas Rahimi, Miguel Angel Lastras-Montaño, Luca Benini, Rajesh K. Gupta, Kwang-Ting Cheng:
Associative Memristive Memory for Approximate Computing in GPUs. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(2): 222-234 (2016) - [j8]Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
Variability Mitigation in Nanometer CMOS Integrated Systems: A Survey of Techniques From Circuits to Software. Proc. IEEE 104(7): 1410-1448 (2016) - [c20]Abbas Rahimi, Simone Benatti, Pentti Kanerva, Luca Benini, Jan M. Rabaey:
Hyperdimensional biosignal processing: A case study for EMG-based hand gesture recognition. ICRC 2016: 1-8 - 2015
- [j5]Atieh Lotfi, Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
Aging-Aware Compilation for GP-GPUs. ACM Trans. Archit. Code Optim. 12(2): 24:1-24:20 (2015) - [c16]Abbas Rahimi, Daniele Cesarini, Andrea Marongiu, Rajesh K. Gupta, Luca Benini:
Task scheduling strategies to mitigate hardware variability in embedded shared memory clusters. DAC 2015: 152:1-152:6 - [c14]Abbas Rahimi, Amirali Ghofrani, Kwang-Ting Cheng, Luca Benini, Rajesh K. Gupta:
Approximate associative memristive memory for energy-efficient GPUs. DATE 2015: 1497-1502 - 2014
- [j4]Abbas Rahimi, Daniele Cesarini, Andrea Marongiu, Rajesh K. Gupta, Luca Benini:
Improving Resilience to Timing Errors by Exposing Variability Effects to Software in Tightly-Coupled Processor Clusters. IEEE J. Emerg. Sel. Topics Circuits Syst. 4(2): 216-229 (2014) - [j3]Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
Application-Adaptive Guardbanding to Mitigate Static and Dynamic Variability. IEEE Trans. Computers 63(9): 2160-2173 (2014) - [c12]Abbas Rahimi, Amirali Ghofrani, Miguel Angel Lastras-Montaño, Kwang-Ting Cheng, Luca Benini, Rajesh K. Gupta:
Energy-Efficient GPGPU Architectures via Collaborative Compilation and Memristive Memory-Based Computing. DAC 2014: 195:1-195:6 - [c11]Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
Temporal memoization for energy-efficient timing error recovery in GPGPUs. DATE 2014: 1-6 - 2013
- [j2]Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
Spatial Memoization: Concurrent Instruction Reuse to Correct Timing Errors in SIMD Architectures. IEEE Trans. Circuits Syst. II Express Briefs 60-II(12): 847-851 (2013) - [c8]Abbas Rahimi, Andrea Marongiu, Rajesh K. Gupta, Luca Benini:
A variability-aware OpenMP environment for efficient execution of accuracy-configurable computation on shared-FPU processor clusters. CODES+ISSS 2013: 35:1-35:10 - [c7]Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
Aging-aware compiler-directed VLIW assignment for GPGPU architectures. DAC 2013: 16:1-16:6 - [c6]Abbas Rahimi, Andrea Marongiu, Paolo Burgio, Rajesh K. Gupta, Luca Benini:
Variation-tolerant OpenMP tasking on tightly-coupled processor clusters. DATE 2013: 541-546 - [c5]Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
Hierarchically focused guardbanding: an adaptive approach to mitigate PVT variations and aging. DATE 2013: 1695-1700 - 2012
- [c4]Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
Analysis of instruction-level vulnerability to dynamic voltage and temperature variations. DATE 2012: 1102-1105 - [c3]Abbas Rahimi, Luca Benini, Rajesh Gupta:
Procedure hopping: a low overhead solution to mitigate variability in shared-L1 processor clusters. ISLPED 2012: 415-420 - 2011
- [c2]Abbas Rahimi, Igor Loi, Mohammad Reza Kakoee, Luca Benini:
A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters. DATE 2011: 491-496
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last updated on 2024-09-21 02:35 CEST by the dblp team
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