default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAbbas Rahimi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c61]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-Shot Classification Using Hyperdimensional Computing. DATE 2024: 1-2- [c60]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 - [c59]Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. ECAI 2024: 2974-2982 - [c58]Jonathan Thomm
, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzic, Bernhard Schölkopf, Abbas Rahimi:
Terminating Differentiable Tree Experts. NeSy (1) 2024: 296-311 - [c57]Giacomo Camposampiero, Michael Hersche, Aleksandar Terzic, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi:
Towards Learning Abductive Reasoning Using VSA Distributed Representations. NeSy (1) 2024: 370-385 - [c56]Johan Cederbladh, Luca Berardinelli, Hugo Bruneliere, Antonio Cicchetti, MohammadHadi Dehghani, Claudio Di Sipio, James William Pontes Miranda, Abbas Rahimi, Riccardo Rubei, Jagadish Suryadevara:
Towards Automating Model-Based Systems Engineering in Industry - An Experience Report. SysCon 2024: 1-8 - [i35]Michael Hersche, Francesco Di Stefano, Thomas Hofmann, Abu Sebastian, Abbas Rahimi:
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures. CoRR abs/2401.16024 (2024) - [i34]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-shot Classification using Hyperdimensional Computing. CoRR abs/2401.16876 (2024) - [i33]Jonathan Thomm, Aleksandar Terzic, Geethan Karunaratne, Giacomo Camposampiero, Bernhard Schölkopf, Abbas Rahimi:
Limits of Transformer Language Models on Learning Algorithmic Compositions. CoRR abs/2402.05785 (2024) - [i32]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) - [i31]Giacomo Camposampiero, Michael Hersche, Aleksandar Terzic, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi:
Towards Learning Abductive Reasoning using VSA Distributed Representations. CoRR abs/2406.19121 (2024) - [i30]Jonathan Thomm, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzic, Bernhard Schölkopf, Abbas Rahimi:
Terminating Differentiable Tree Experts. CoRR abs/2407.02060 (2024) - [i29]Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. CoRR abs/2410.00004 (2024) - 2023
- [j35]Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. ACM Comput. Surv. 55(6): 130:1-130:40 (2023) - [j34]Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. ACM Comput. Surv. 55(9): 175:1-175:52 (2023) - [j33]Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 137-149 (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) - [j31]Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi:
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10993-10998 (2023) - [c55]Abbas Rahimi, Massimo Tisi, Shekoufeh Kolahdouz Rahimi, Luca Berardinelli:
Towards Generating Structurally Realistic Models by Generative Adversarial Networks. MoDELS (Companion) 2023: 597-604 - [c54]Michael Hersche, Zuzanna Opala, Geethan Karunaratne, Abu Sebastian, Abbas Rahimi:
Decoding Superpositions of Bound Symbols Represented by Distributed Representations. NeSy 2023: 279-288 - [c53]Francesco S. Carzaniga, Michael Hersche, Kaspar Schindler, Abbas Rahimi:
VSA-based Positional Encoding Can Replace Recurrent Networks in Emergent Symbol Binding. NeSy 2023: 302-326 - [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 - [p1]Geethan Karunaratne, Michael Hersche, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi:
Few-Shot Continual Learning Based on Vector Symbolic Architectures. Compendium of Neurosymbolic Artificial Intelligence 2023: 522-546 - [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
- [i28]Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
WHYPE: A Scale-Out Architecture with Wireless Over-the-Air Majority for Scalable In-memory Hyperdimensional Computing. CoRR abs/2303.08067 (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) - [i26]Simon Rädler, Luca Berardinelli, Karolin Winter, Abbas Rahimi, Stefanie Rinderle-Ma:
Model-Driven Engineering for Artificial Intelligence - A Systematic Literature Review. CoRR abs/2307.04599 (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
- [j30]Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer:
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 110(10): 1538-1571 (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 - [c48]Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. IJCNN 2022: 1-8 - [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) - [i22]Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi:
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. CoRR abs/2203.06223 (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) - [i20]Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. CoRR abs/2205.10889 (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) - [c47]Geethan Karunaratne, Abbas Rahimi, Manuel Le Gallo, Giovanni Cherubini, Abu Sebastian:
Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array. AICAS 2021: 1 - [c46]Sizhe Zhang, Ruixuan Wang, Jeff Jun Zhang, Abbas Rahimi, Xun Jiao:
Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). ASAP 2021: 211-217 - [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) - [i16]Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer:
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR abs/2106.05268 (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) - [i14]Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. CoRR abs/2111.06077 (2021) - [i13]Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. CoRR abs/2112.15424 (2021) - [i12]Abbas Rahimi, Manuel Le Gallo, Abu Sebastian:
Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing. ERCIM News 2021(125) (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) - [j23]Abbas Rahimi, Artiom Tchouprina, Pentti Kanerva, José del R. Millán, Jan M. Rabaey:
Hyperdimensional Computing for Blind and One-Shot Classification of EEG Error-Related Potentials. Mob. Networks Appl. 25(5): 1958-1969 (2020) - [j22]Denis Kleyko, Abbas Rahimi, Ross W. Gayler, Evgeny Osipov:
Autoscaling Bloom filter: controlling trade-off between true and false positives. Neural Comput. Appl. 32(8): 3675-3684 (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)
2010 – 2019
- 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) - [j17]Mohsen Imani, Daniel Peroni, Abbas Rahimi, Tajana Simunic Rosing:
Resistive CAM Acceleration for Tunable Approximate Computing. IEEE Trans. Emerg. Top. Comput. 7(2): 271-280 (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
- [j16]Tony F. Wu, Haitong Li, Ping-Chen Huang, Abbas Rahimi, Gage Hills, Bryce Hodson, William Hwang, Jan M. Rabaey, H.-S. Philip Wong, Max M. Shulaker, Subhasish Mitra:
Hyperdimensional Computing Exploiting Carbon Nanotube FETs, Resistive RAM, and Their Monolithic 3D Integration. IEEE J. Solid State Circuits 53(11): 3183-3196 (2018) - [j15]Xun Jiao, Abbas Rahimi, Yu Jiang, Jianguo Wang, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta:
CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units. IEEE Trans. Computers 67(6): 771-783 (2018) - [j14]Mohsen Imani, Abbas Rahimi, Pietro Mercati, Tajana Simunic Rosing:
Multi-Stage Tunable Approximate Search in Resistive Associative Memory. IEEE Trans. Multi Scale Comput. Syst. 4(1): 17-29 (2018) - [j13]Denis Kleyko, Abbas Rahimi, Dmitri A. Rachkovskij, Evgeny Osipov, Jan M. Rabaey:
Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5880-5898 (2018) - [c36]Mohsen Imani, Tarek Nassar, Abbas Rahimi, Tajana Rosing:
HDNA: Energy-efficient DNA sequencing using hyperdimensional computing. BHI 2018: 271-274 - [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 - [c30]Tony F. Wu, Haitong Li, Ping-Chen Huang, Abbas Rahimi, Jan M. Rabaey, H.-S. Philip Wong, Max M. Shulaker, Subhasish Mitra:
Brain-inspired computing exploiting carbon nanotube FETs and resistive RAM: Hyperdimensional computing case study. ISSCC 2018: 492-494 - [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) - [i4]Abbas Rahimi, Tony F. Wu, Haitong Li, Jan M. Rabaey, H.-S. Philip Wong, Max M. Shulaker, Subhasish Mitra:
Hyperdimensional Computing Nanosystem. CoRR abs/1811.09557 (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
- [j12]Mohsen Imani, John Hwang, Tajana Rosing, Abbas Rahimi, Jan M. Rabaey:
Low-Power Sparse Hyperdimensional Encoder for Language Recognition. IEEE Des. Test 34(6): 94-101 (2017) - [j11]Abbas Rahimi, Sohum Datta, Denis Kleyko, Edward Paxon Frady, Bruno A. Olshausen, Pentti Kanerva, Jan M. Rabaey:
High-Dimensional Computing as a Nanoscalable Paradigm. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(9): 2508-2521 (2017) - [c29]Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, Tajana Rosing:
Efficient neural network acceleration on GPGPU using content addressable memory. DATE 2017: 1026-1031 - [c28]Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta:
SLoT: A supervised learning model to predict dynamic timing errors of functional units. DATE 2017: 1183-1188 - [c27]Mohsen Imani, Abbas Rahimi, Deqian Kong, Tajana Rosing, Jan M. Rabaey:
Exploring Hyperdimensional Associative Memory. HPCA 2017: 445-456 - [c26]Mohsen Imani, Deqian Kong, Abbas Rahimi, Tajana Rosing:
VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition. ICRC 2017: 1-8 - [c25]Jan M. Rabaey, Abbas Rahimi, Sohum Datta, Miles Rusch, Pentti Kanerva, Bruno A. Olshausen:
Human-centric computing - The case for a Hyper-Dimensional approach. IWASI 2017: 29 - [i2]Denis Kleyko, Abbas Rahimi, Evgeny Osipov:
Autoscaling Bloom Filter: Controlling Trade-off Between True and False Positives. CoRR abs/1705.03934 (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) - [c24]Atieh Lotfi, Abbas Rahimi, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Rajesh K. Gupta:
Grater: An approximation workflow for exploiting data-level parallelism in FPGA acceleration. DATE 2016: 1279-1284 - [c23]Mohsen Imani, Abbas Rahimi, Tajana Simunic Rosing:
Resistive configurable associative memory for approximate computing. DATE 2016: 1327-1332 - [c22]Vahideh Akhlaghi, Abbas Rahimi, Rajesh K. Gupta:
Resistive Bloom filters: From approximate membership to approximate computing with bounded errors. DATE 2016: 1441-1444 - [c21]Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta:
WILD: A workload-based learning model to predict dynamic delay of functional units. ICCD 2016: 185-192 - [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 - [c19]Abbas Rahimi, Pentti Kanerva, Jan M. Rabaey:
A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing. ISLPED 2016: 64-69 - [c18]Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing:
ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. ISLPED 2016: 162-167 - [c17]Mohsen Imani, Abbas Rahimi, Yeseong Kim, Tajana Rosing:
A low-power hybrid magnetic cache architecture exploiting narrow-width values. NVMSA 2016: 1-6 - 2015
- [b1]Abbas Rahimi:
From Variability-Tolerance to Approximate Computing in Parallel Computing Architectures. University of California, San Diego, USA, 2015 - [j7]Lucas Francisco Wanner, Liangzhen Lai, Abbas Rahimi, Mark Gottscho, Pietro Mercati, Chu-Hsiang Huang, Frederic Sala, Yuvraj Agarwal, Lara Dolecek, Nikil D. Dutt, Puneet Gupta, Rajesh K. Gupta, Ranjit Jhala, Rakesh Kumar, Sorin Lerner, Subhasish Mitra, Alexandru Nicolau, Tajana Simunic Rosing, Mani B. Srivastava, Steven Swanson, Dennis Sylvester, Yuanyuan Zhou:
NSF expedition on variability-aware software: Recent results and contributions. it Inf. Technol. 57(3): 181-198 (2015) - [j6]Divya Mahajan, Kartik Ramkrishnan, Rudra Jariwala, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Anandhavel Nagendrakumar, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan:
Axilog: Abstractions for Approximate Hardware Design and Reuse. IEEE Micro 35(5): 16-30 (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 - [c15]Amir Yazdanbakhsh, Divya Mahajan, Bradley Thwaites, Jongse Park, Anandhavel Nagendrakumar, Sindhuja Sethuraman, Kartik Ramkrishnan, Nishanthi Ravindran, Rudra Jariwala, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan:
Axilog: language support for approximate hardware design. DATE 2015: 812-817 - [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 - [c13]Xun Jiao, Abbas Rahimi, Balakrishnan Narayanaswamy, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta:
Supervised learning based model for predicting variability-induced timing errors. NEWCAS 2015: 1-4 - 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 - [c10]Mohammad Khavari Tavana, Amey M. Kulkarni, Abbas Rahimi, Tinoosh Mohsenin, Houman Homayoun:
Energy-efficient mapping of biomedical applications on domain-specific accelerator under process variation. ISLPED 2014: 275-278 - 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) - [c9]Majid Namaki-Shoushtari, Abbas Rahimi, Nikil D. Dutt, Puneet Gupta, Rajesh K. Gupta:
ARGO: Aging-aware GPGPU register file allocation. CODES+ISSS 2013: 30:1-30:9 - [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
- [j1]Abbas Rahimi, Mostafa E. Salehi, Siamak Mohammadi, Sied Mehdi Fakhraie:
Low-energy GALS NoC with FIFO - Monitoring dynamic voltage scaling. Microelectron. J. 42(6): 889-896 (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 - 2010
- [c1]Mohammad Fattah, Abdurrahman Manian, Abbas Rahimi, Siamak Mohammadi:
A High Throughput Low Power FIFO Used for GALS NoC Buffers. ISVLSI 2010: 333-338
Coauthor Index
[c61] [c60] [i34] [i32] [j32] [c52] [c51] [d1] [i27] [i25] [i24] [c50] [c49] [i23] [i21] [i19] [i18] [j29] [j28] [j27] [j26] [j25] [i17] [i15] [j24] [j21] [c45] [c44] [c43] [c42] [c41] [i11] [i10] [j20] [j19] [j18] [c40] [c39] [c38] [c37] [i9] [i8] [c35] [c34] [c33] [c32] [c31] [i7] [i6] [i5] [i3] [i1] [j10] [j9] [j8] [c20] [j5] [c16] [c14] [j4] [j3] [c12] [c11] [j2] [c8] [c7] [c6] [c5] [c4] [c3] [c2]
Tajana Rosing
aka: Tajana Simunic Rosing
aka: Tajana Simunic Rosing
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-06 20:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
