Abbas Rahimi - RankMe

159 papers A* 10A 23B 1C 8Misc 2Journal 91Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Composable Channel-Adaptive Architecture for Seizure Classification. IEEE J. Biomed. Health Informatics Francesco S. Carzaniga, Michael Hersche, Kaspar Schindler, Abbas Rahimi
2026	J	`jnl`	Coding Agents with Environment Interaction: A Theoretical Perspective. CoRR Nicolas Menet, Michael Hersche, Andreas Krause, Abbas Rahimi
2026	J	`jnl`	Locally Coherent Parallel Decoding in Diffusion Language Models. CoRR Michael Hersche, Nicolas Menet, Ronan Tanios, Abbas Rahimi
2025	J	`jnl`	A Composable Channel-Adaptive Architecture for Seizure Classification. CoRR Francesco S. Carzaniga, Michael Hersche, Kaspar Anton Schindler, Abbas Rahimi
2025	J	`jnl`	A foundation model with multi-variate parallel attention to generate neuronal activity. CoRR Francesco S. Carzaniga, Michael Hersche, Abu Sebastian, Kaspar Anton Schindler, Abbas Rahimi
2025	J	`jnl`	Analog Foundation Models. CoRR Julian Büchel, Iason Chalas, Giovanni Acampa, An Chen, Omobayode Fagbohungbe, Sidney Tsai, Kaoutar El Maghraoui, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2025	J	`jnl`	Author Correction: Kernel approximation using analogue in-memory computing. Nat. Mac. Intell. Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2025	J	`jnl`	Bridging MDE and AI: a systematic review of domain-specific languages and model-driven practices in AI software systems engineering. Softw. Syst. Model. Simon Rädler, Luca Berardinelli, Karolin Winter, Abbas Rahimi, Stefanie Rinderle-Ma
2025	C	`conf`	Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty? NeSy Giacomo Camposampiero, Michael Hersche, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi
2025	J	`jnl`	Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty? CoRR Giacomo Camposampiero, Michael Hersche, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi
2025	J	`jnl`	Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing. Nat. Comput. Sci. Julian Büchel, Athanasios Vasilopoulos, William Andrew Simon, Irem Boybat, Hsinyu Tsai, Geoffrey W. Burr, Hernan Castro, Bill Filipiak, Manuel Le Gallo, Abbas Rahimi, Vijay Narayanan, Abu Sebastian
2025	J	`jnl`	I-RAVEN-X: Benchmarking Generalization and Robustness of Analogical and Mathematical Reasoning in Large Language and Reasoning Models. CoRR Giacomo Camposampiero, Michael Hersche, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi
2025	A*	`conf`	On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages. AAAI Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero, Thomas Hofmann, Abu Sebastian, Abbas Rahimi
2025	C	`conf`	Practical Lessons on Vector-Symbolic Architectures in Deep Learning-Inspired Environments. NeSy Francesco S. Carzaniga, Michael Hersche, Kaspar Schindler, Abbas Rahimi
2025	J	`jnl`	Scalable Evaluation and Neural Models for Compositional Generalization. CoRR Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi
2025	J	`jnl`	Soft-Masked Diffusion Language Models. CoRR Michael Hersche, Samuel Moor-Smith, Thomas Hofmann, Abbas Rahimi
2025	J	`jnl`	Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models. CoRR Aleksandar Terzic, Nicolas Menet, Michael Hersche, Thomas Hofmann, Abbas Rahimi
2025	A*	`conf`	The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG. ICLR Francesco S. Carzaniga, Gary Tom Hoppeler, Michael Hersche, Kaspar Schindler, Abbas Rahimi
2025	J	`jnl`	The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG. CoRR Francesco S. Carzaniga, Gary Tom Hoppeler, Michael Hersche, Kaspar Anton Schindler, Abbas Rahimi
2025	J	`jnl`	Thompson Sampling via Fine-Tuning of LLMs. CoRR Nicolas Menet, Aleksandar Terzic, Michael Hersche, Andreas Krause, Abbas Rahimi
2024	A	`conf`	12 mJ Per Class On-Device Online Few-Shot Class-Incremental Learning. DATE Yoga Esa Wibowo, Cristian Cioflan, Thorir Mar Ingolfsson, Michael Hersche, Leo Zhao, Abbas Rahimi, Luca Benini
2024	J	`jnl`	12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning. CoRR Yoga Esa Wibowo, Cristian Cioflan, Thorir Mar Ingolfsson, Michael Hersche, Leo Zhao, Abbas Rahimi, Luca Benini
2024	J	`jnl`	Kernel Approximation using Analog In-Memory Computing. CoRR Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2024	J	`jnl`	Kernel approximation using analogue in-memory computing. Nat. Mac. Intell. Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2024	J	`jnl`	Limits of Transformer Language Models on Learning Algorithmic Compositions. CoRR Jonathan Thomm, Aleksandar Terzic, Geethan Karunaratne, Giacomo Camposampiero, Bernhard Schölkopf, Abbas Rahimi
2024	A*	`conf`	Limits of Transformer Language Models on Learning to Compose Algorithms. NeurIPS Jonathan Thomm, Giacomo Camposampiero, Aleksandar Terzic, Michael Hersche, Bernhard Schölkopf, Abbas Rahimi
2024	J	`jnl`	On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages. CoRR Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero, Thomas Hofmann, Abu Sebastian, Abbas Rahimi
2024	J	`jnl`	On the Role of Noise in Factorizers for Disentangling Distributed Representations. CoRR Geethan Karunaratne, Michael Hersche, Abu Sebastian, Abbas Rahimi
2024	J	`jnl`	Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures. CoRR Michael Hersche, Francesco Di Stefano, Thomas Hofmann, Abu Sebastian, Abbas Rahimi
2024	A	`conf`	RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. ECAI Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi
2024	J	`jnl`	Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. CoRR Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi
2024	—	`conf`	Terminating Differentiable Tree Experts. NeSy (1) Jonathan Thomm, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzic, Bernhard Schölkopf, Abbas Rahimi
2024	J	`jnl`	Terminating Differentiable Tree Experts. CoRR Jonathan Thomm, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzic, Bernhard Schölkopf, Abbas Rahimi
2024	—	`conf`	Towards Automating Model-Based Systems Engineering in Industry - An Experience Report. SysCon Johan Cederbladh, Luca Berardinelli, Hugo Bruneliere, Antonio Cicchetti, MohammadHadi Dehghani, Claudio Di Sipio, James William Pontes Miranda, Abbas Rahimi, Riccardo Rubei, Jagadish Suryadevara
2024	—	`conf`	Towards Learning Abductive Reasoning Using VSA Distributed Representations. NeSy (1) Giacomo Camposampiero, Michael Hersche, Aleksandar Terzic, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi
2024	J	`jnl`	Towards Learning Abductive Reasoning using VSA Distributed Representations. CoRR Giacomo Camposampiero, Michael Hersche, Aleksandar Terzic, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi
2024	J	`jnl`	Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning. CoRR Michael Hersche, Giacomo Camposampiero, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi
2024	A	`conf`	Zero-Shot Classification Using Hyperdimensional Computing. DATE Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi
2024	J	`jnl`	Zero-shot Classification using Hyperdimensional Computing. CoRR Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi
2023	J	`jnl`	A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. ACM Comput. Surv. Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
2023	J	`jnl`	A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. ACM Comput. Surv. Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
2023	J	`jnl`	A neuro-vector-symbolic architecture for solving Raven's progressive matrices. Nat. Mac. Intell. Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi
2023	C	`conf`	Decoding Superpositions of Bound Symbols Represented by Distributed Representations. NeSy Michael Hersche, Zuzanna Opala, Geethan Karunaratne, Abu Sebastian, Abbas Rahimi
2023	J	`jnl`	Factorizers for Distributed Sparse Block Codes. CoRR Michael Hersche, Aleksandar Terzic, Geethan Karunaratne, Jovin Langenegger, Angéline Pouget, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2023	—	`ch.`	Few-Shot Continual Learning Based on Vector Symbolic Architectures. Compendium of Neurosymbolic Artificial Intelligence Geethan Karunaratne, Michael Hersche, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi
2023	J	`jnl`	Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. IEEE Trans. Neural Networks Learn. Syst. Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi
2023	A*	`conf`	MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. NeurIPS Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
2023	J	`jnl`	MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. CoRR Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
2023	J	`jnl`	Model-Driven Engineering for Artificial Intelligence - A Systematic Literature Review. CoRR Simon Rädler, Luca Berardinelli, Karolin Winter, Abbas Rahimi, Stefanie Rinderle-Ma
2023	C	`conf`	Solving Raven's Progressive Matrices via a Neuro-vector-symbolic Architecture. NeSy Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi
2023	J	`jnl`	TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing. CoRR Aleksandar Terzic, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
2023	—	`conf`	Towards Generating Structurally Realistic Models by Generative Adversarial Networks. MoDELS (Companion) Abbas Rahimi, Massimo Tisi, Shekoufeh Kolahdouz Rahimi, Luca Berardinelli
2023	C	`conf`	VSA-based Positional Encoding Can Replace Recurrent Networks in Emergent Symbol Binding. NeSy Francesco S. Carzaniga, Michael Hersche, Kaspar Schindler, Abbas Rahimi
2023	J	`jnl`	WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
2023	J	`jnl`	WHYPE: A Scale-Out Architecture with Wireless Over-the-Air Majority for Scalable In-memory Hyperdimensional Computing. CoRR Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
2022	J	`jnl`	A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices. CoRR Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi
2022	A*	`conf`	Constrained Few-shot Class-incremental Learning. CVPR Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2022	J	`jnl`	Constrained Few-shot Class-incremental Learning. CoRR Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2022	J	`jnl`	Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. CoRR Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi
2022	—	`conf`	In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. ESSCIRC 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
2022	J	`jnl`	In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. CoRR 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
2022	J	`jnl`	In-memory factorization of holographic perceptual representations. CoRR Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi
2022	J	`jnl`	Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 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
2022	B	`conf`	Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. IJCNN Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
2022	J	`jnl`	Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. CoRR Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
2021	J	`jnl`	A 5 μW Standard Cell Memory-Based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing. IEEE Trans. Circuits Syst. I Regul. Pap. Manuel Eggimann, Abbas Rahimi, Luca Benini
2021	J	`jnl`	A 5 μW Standard Cell Memory-based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing. CoRR Manuel Eggimann, Abbas Rahimi, Luca Benini
2021	J	`jnl`	A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. CoRR Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
2021	J	`jnl`	A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. CoRR Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
2021	J	`jnl`	An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection. IEEE J. Biomed. Health Informatics Alessio Burrello, Simone Benatti, Kaspar Schindler, Luca Benini, Abbas Rahimi
2021	—	`conf`	Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). ASAP Sizhe Zhang, Ruixuan Wang, Jeff Jun Zhang, Abbas Rahimi, Xun Jiao
2021	J	`jnl`	Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing. IEEE Trans. Circuits Syst. II Express Briefs Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2021	J	`jnl`	Energy Efficient In-memory Hyperdimensional Encoding for Spatio-temporal Signal Processing. CoRR Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2021	J	`jnl`	Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing. ERCIM News Abbas Rahimi, Manuel Le Gallo, Abu Sebastian
2021	J	`jnl`	Guest Editorial: IEEE TC Special Issue On Smart Edge Computing and IoT. IEEE Trans. Computers Luca Benini, Simone Benatti, Taekwang Jang, Abbas Rahimi
2021	J	`jnl`	Near-channel classifier: symbiotic communication and classification in high-dimensional space. Brain Informatics Michael Hersche, Stefan Lippuner, Matthias Korb, Luca Benini, Abbas Rahimi
2021	—	`conf`	Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array. AICAS Geethan Karunaratne, Abbas Rahimi, Manuel Le Gallo, Giovanni Cherubini, Abu Sebastian
2021	J	`jnl`	Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR 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
2020	J	`jnl`	Autoscaling Bloom filter: controlling trade-off between true and false positives. Neural Comput. Appl. Denis Kleyko, Abbas Rahimi, Ross W. Gayler, Evgeny Osipov
2020	J	`jnl`	Binarization Methods for Motor-Imagery Brain-Computer Interface Classification. CoRR Michael Hersche, Luca Benini, Abbas Rahimi
2020	J	`jnl`	Binarization Methods for Motor-Imagery Brain-Computer Interface Classification. IEEE J. Emerg. Sel. Topics Circuits Syst. Michael Hersche, Luca Benini, Abbas Rahimi
2020	—	`conf`	Binary Models for Motor-Imagery Brain-Computer Interfaces: Sparse Random Projection and Binarized SVM. AICAS Michael Hersche, Luca Benini, Abbas Rahimi
2020	A	`conf`	Compressing Subject-specific Brain-Computer Interface Models into One Model by Superposition in Hyperdimensional Space. DATE Michael Hersche, Philipp Rupp, Luca Benini, Abbas Rahimi
2020	—	`conf`	Evolvable Hyperdimensional Computing: Unsupervised Regeneration of Associative Memory to Recover Faulty Components. AICAS Michael Hersche, Sara Sangalli, Luca Benini, Abbas Rahimi
2020	—	`conf`	Explainable Deep Learning for Medical Time Series Data. MobiHealth Thomas Frick, Stefan Glüge, Abbas Rahimi, Luca Benini, Thomas Brunschwiler
2020	J	`jnl`	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. Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi
2020	J	`jnl`	Hyperdimensional Computing for Blind and One-Shot Classification of EEG Error-Related Potentials. Mob. Networks Appl. Abbas Rahimi, Artiom Tchouprina, Pentti Kanerva, José del R. Millán, Jan M. Rabaey
2020	A	`conf`	Integrating event-based dynamic vision sensors with sparse hyperdimensional computing: a low-power accelerator with online learning capability. ISLPED Michael Hersche, Edoardo Mello Rella, Alfio Di Mauro, Luca Benini, Abbas Rahimi
2020	J	`jnl`	Robust High-dimensional Memory-augmented Neural Networks. CoRR Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2019	J	`jnl`	Adaptive EMG-based hand gesture recognition using hyperdimensional computing. CoRR 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
2019	—	`conf`	Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing. BioCAS Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, Luca Benini, Jan M. Rabaey
2019	A	`conf`	Applications of Computation-In-Memory Architectures based on Memristive Devices. DATE 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
2019	J	`jnl`	Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals. Proc. IEEE Abbas Rahimi, Pentti Kanerva, Luca Benini, Jan M. Rabaey
2019	J	`jnl`	Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory. ACM J. Emerg. Technol. Comput. Syst. Manuel Schmuck, Luca Benini, Abbas Rahimi
2019	—	`conf`	Hyperdimensional Computing-based Multimodality Emotion Recognition with Physiological Signals. AICAS En-Jui Chang, Abbas Rahimi, Luca Benini, An-Yeu Andy Wu
2019	J	`jnl`	In-memory hyperdimensional computing. CoRR Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian
2019	A	`conf`	Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms. DATE Alessio Burrello, Lukas Cavigelli, Kaspar Schindler, Luca Benini, Abbas Rahimi
2019	J	`jnl`	Online Learning and Classification of EMG-Based Gestures on a Parallel Ultra-Low Power Platform Using Hyperdimensional Computing. IEEE Trans. Biomed. Circuits Syst. Simone Benatti, Fabio Montagna, Victor Javier Kartsch, Abbas Rahimi, Davide Rossi, Luca Benini
2019	J	`jnl`	Resistive CAM Acceleration for Tunable Approximate Computing. IEEE Trans. Emerg. Top. Comput. Mohsen Imani, Daniel Peroni, Abbas Rahimi, Tajana Simunic Rosing
2018	C	`conf`	An 826 MOPS, 210uW/MHz Unum ALU in 65 nm. ISCAS Florian Glaser, Stefan Mach, Abbas Rahimi, Frank K. Gürkaynak, Qiuting Huang, Luca Benini
2018	C	`conf`	An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier. ISCAS 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
2018	J	`jnl`	An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier. CoRR 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
2018	—	`conf`	Brain-inspired computing exploiting carbon nanotube FETs and resistive RAM: Hyperdimensional computing case study. ISSCC Tony F. Wu, Haitong Li, Ping-Chen Huang, Abbas Rahimi, Jan M. Rabaey, H.-S. Philip Wong, Max M. Shulaker, Subhasish Mitra
2018	J	`jnl`	CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units. IEEE Trans. Computers Xun Jiao, Abbas Rahimi, Yu Jiang, Jianguo Wang, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta
2018	J	`jnl`	Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics. IEEE Trans. Neural Networks Learn. Syst. Denis Kleyko, Abbas Rahimi, Dmitri A. Rachkovskij, Evgeny Osipov, Jan M. Rabaey
2018	J	`jnl`	Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces. CoRR Michael Hersche, José del R. Millán, Luca Benini, Abbas Rahimi
2018	—	`conf`	Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features. EUSIPCO Michael Hersche, Tino Rellstab, Pasquale Davide Schiavone, Lukas Cavigelli, Luca Benini, Abbas Rahimi
2018	—	`conf`	HDNA: Energy-efficient DNA sequencing using hyperdimensional computing. BHI Mohsen Imani, Tarek Nassar, Abbas Rahimi, Tajana Rosing
2018	J	`jnl`	Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory. CoRR Manuel Schmuck, Luca Benini, Abbas Rahimi
2018	J	`jnl`	Hyperdimensional Computing Exploiting Carbon Nanotube FETs, Resistive RAM, and Their Monolithic 3D Integration. IEEE J. Solid State Circuits 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
2018	J	`jnl`	Hyperdimensional Computing Nanosystem. CoRR Abbas Rahimi, Tony F. Wu, Haitong Li, Jan M. Rabaey, H.-S. Philip Wong, Max M. Shulaker, Subhasish Mitra
2018	J	`jnl`	Multi-Stage Tunable Approximate Search in Resistive Associative Memory. IEEE Trans. Multi Scale Comput. Syst. Mohsen Imani, Abbas Rahimi, Pietro Mercati, Tajana Simunic Rosing
2018	—	`conf`	One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. BioCAS Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi
2018	J	`jnl`	One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. CoRR Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi
2018	A*	`conf`	PULP-HD: accelerating brain-inspired high-dimensional computing on a parallel ultra-low power platform. DAC Fabio Montagna, Abbas Rahimi, Simone Benatti, Davide Rossi, Luca Benini
2017	J	`jnl`	An 826 MOPS, 210 uW/MHz Unum ALU in 65 nm. CoRR Florian Glaser, Stefan Mach, Abbas Rahimi, Frank K. Gürkaynak, Qiuting Huang, Luca Benini
2017	J	`jnl`	Autoscaling Bloom Filter: Controlling Trade-off Between True and False Positives. CoRR Denis Kleyko, Abbas Rahimi, Evgeny Osipov
2017	A	`conf`	Efficient neural network acceleration on GPGPU using content addressable memory. DATE Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, Tajana Rosing
2017	A*	`conf`	Exploring Hyperdimensional Associative Memory. HPCA Mohsen Imani, Abbas Rahimi, Deqian Kong, Tajana Rosing, Jan M. Rabaey
2017	J	`jnl`	High-Dimensional Computing as a Nanoscalable Paradigm. IEEE Trans. Circuits Syst. I Regul. Pap. Abbas Rahimi, Sohum Datta, Denis Kleyko, Edward Paxon Frady, Bruno A. Olshausen, Pentti Kanerva, Jan M. Rabaey
2017	—	`conf`	Human-centric computing - The case for a Hyper-Dimensional approach. IWASI Jan M. Rabaey, Abbas Rahimi, Sohum Datta, Miles Rusch, Pentti Kanerva, Bruno A. Olshausen
2017	J	`jnl`	Low-Power Sparse Hyperdimensional Encoder for Language Recognition. IEEE Des. Test Mohsen Imani, John Hwang, Tajana Rosing, Abbas Rahimi, Jan M. Rabaey
2017	A	`conf`	SLoT: A supervised learning model to predict dynamic timing errors of functional units. DATE Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta
2017	—	`conf`	VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition. ICRC Mohsen Imani, Deqian Kong, Abbas Rahimi, Tajana Rosing
2016	A	`conf`	A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing. ISLPED Abbas Rahimi, Pentti Kanerva, Jan M. Rabaey
2016	—	`conf`	A low-power hybrid magnetic cache architecture exploiting narrow-width values. NVMSA Mohsen Imani, Abbas Rahimi, Yeseong Kim, Tajana Rosing
2016	A	`conf`	ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. ISLPED Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing
2016	J	`jnl`	Associative Memristive Memory for Approximate Computing in GPUs. IEEE J. Emerg. Sel. Topics Circuits Syst. Amirali Ghofrani, Abbas Rahimi, Miguel Angel Lastras-Montaño, Luca Benini, Rajesh K. Gupta, Kwang-Ting Cheng
2016	J	`jnl`	CIRCA-GPUs: Increasing Instruction Reuse Through Inexact Computing in GP-GPUs. IEEE Des. Test Abbas Rahimi, Luca Benini, Rajesh K. Gupta
2016	A	`conf`	Grater: An approximation workflow for exploiting data-level parallelism in FPGA acceleration. DATE Atieh Lotfi, Abbas Rahimi, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Rajesh K. Gupta
2016	—	`conf`	Hyperdimensional biosignal processing: A case study for EMG-based hand gesture recognition. ICRC Abbas Rahimi, Simone Benatti, Pentti Kanerva, Luca Benini, Jan M. Rabaey
2016	A	`conf`	Resistive Bloom filters: From approximate membership to approximate computing with bounded errors. DATE Vahideh Akhlaghi, Abbas Rahimi, Rajesh K. Gupta
2016	A	`conf`	Resistive configurable associative memory for approximate computing. DATE Mohsen Imani, Abbas Rahimi, Tajana Simunic Rosing
2016	J	`jnl`	Variability Mitigation in Nanometer CMOS Integrated Systems: A Survey of Techniques From Circuits to Software. Proc. IEEE Abbas Rahimi, Luca Benini, Rajesh K. Gupta
2016	C	`conf`	WILD: A workload-based learning model to predict dynamic delay of functional units. ICCD Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta
2015	J	`jnl`	Aging-Aware Compilation for GP-GPUs. ACM Trans. Archit. Code Optim. Atieh Lotfi, Abbas Rahimi, Luca Benini, Rajesh K. Gupta
2015	A	`conf`	Approximate associative memristive memory for energy-efficient GPUs. DATE Abbas Rahimi, Amirali Ghofrani, Kwang-Ting Cheng, Luca Benini, Rajesh K. Gupta
2015	J	`jnl`	Axilog: Abstractions for Approximate Hardware Design and Reuse. IEEE Micro Divya Mahajan, Kartik Ramkrishnan, Rudra Jariwala, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Anandhavel Nagendrakumar, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan
2015	A	`conf`	Axilog: language support for approximate hardware design. DATE Amir Yazdanbakhsh, Divya Mahajan, Bradley Thwaites, Jongse Park, Anandhavel Nagendrakumar, Sindhuja Sethuraman, Kartik Ramkrishnan, Nishanthi Ravindran, Rudra Jariwala, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan
2015	—	`—`	From Variability-Tolerance to Approximate Computing in Parallel Computing Architectures. Abbas Rahimi
2015	J	`jnl`	NSF expedition on variability-aware software: Recent results and contributions. it Inf. Technol. 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
2015	—	`conf`	Supervised learning based model for predicting variability-induced timing errors. NEWCAS Xun Jiao, Abbas Rahimi, Balakrishnan Narayanaswamy, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta
2015	A*	`conf`	Task scheduling strategies to mitigate hardware variability in embedded shared memory clusters. DAC Abbas Rahimi, Daniele Cesarini, Andrea Marongiu, Rajesh K. Gupta, Luca Benini
2014	J	`jnl`	Application-Adaptive Guardbanding to Mitigate Static and Dynamic Variability. IEEE Trans. Computers Abbas Rahimi, Luca Benini, Rajesh K. Gupta
2014	A*	`conf`	Energy-Efficient GPGPU Architectures via Collaborative Compilation and Memristive Memory-Based Computing. DAC Abbas Rahimi, Amirali Ghofrani, Miguel Angel Lastras-Montaño, Kwang-Ting Cheng, Luca Benini, Rajesh K. Gupta
2014	A	`conf`	Energy-efficient mapping of biomedical applications on domain-specific accelerator under process variation. ISLPED Mohammad Khavari Tavana, Amey M. Kulkarni, Abbas Rahimi, Tinoosh Mohsenin, Houman Homayoun
2014	J	`jnl`	Improving Resilience to Timing Errors by Exposing Variability Effects to Software in Tightly-Coupled Processor Clusters. IEEE J. Emerg. Sel. Topics Circuits Syst. Abbas Rahimi, Daniele Cesarini, Andrea Marongiu, Rajesh K. Gupta, Luca Benini
2014	A	`conf`	Temporal memoization for energy-efficient timing error recovery in GPGPUs. DATE Abbas Rahimi, Luca Benini, Rajesh K. Gupta
2013	Misc	`conf`	A variability-aware OpenMP environment for efficient execution of accuracy-configurable computation on shared-FPU processor clusters. CODES+ISSS Abbas Rahimi, Andrea Marongiu, Rajesh K. Gupta, Luca Benini
2013	Misc	`conf`	ARGO: Aging-aware GPGPU register file allocation. CODES+ISSS Majid Namaki-Shoushtari, Abbas Rahimi, Nikil D. Dutt, Puneet Gupta, Rajesh K. Gupta
2013	A*	`conf`	Aging-aware compiler-directed VLIW assignment for GPGPU architectures. DAC Abbas Rahimi, Luca Benini, Rajesh K. Gupta
2013	A	`conf`	Hierarchically focused guardbanding: an adaptive approach to mitigate PVT variations and aging. DATE Abbas Rahimi, Luca Benini, Rajesh K. Gupta
2013	J	`jnl`	Spatial Memoization: Concurrent Instruction Reuse to Correct Timing Errors in SIMD Architectures. IEEE Trans. Circuits Syst. II Express Briefs Abbas Rahimi, Luca Benini, Rajesh K. Gupta
2013	A	`conf`	Variation-tolerant OpenMP tasking on tightly-coupled processor clusters. DATE Abbas Rahimi, Andrea Marongiu, Paolo Burgio, Rajesh K. Gupta, Luca Benini
2012	A	`conf`	Analysis of instruction-level vulnerability to dynamic voltage and temperature variations. DATE Abbas Rahimi, Luca Benini, Rajesh K. Gupta
2012	A	`conf`	Procedure hopping: a low overhead solution to mitigate variability in shared-L1 processor clusters. ISLPED Abbas Rahimi, Luca Benini, Rajesh Gupta
2011	A	`conf`	A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters. DATE Abbas Rahimi, Igor Loi, Mohammad Reza Kakoee, Luca Benini
2011	J	`jnl`	Low-energy GALS NoC with FIFO - Monitoring dynamic voltage scaling. Microelectron. J. Abbas Rahimi, Mostafa E. Salehi, Siamak Mohammadi, Sied Mehdi Fakhraie
2010	—	`conf`	A High Throughput Low Power FIFO Used for GALS NoC Buffers. ISVLSI Mohammad Fattah, Abdurrahman Manian, Abbas Rahimi, Siamak Mohammadi