A High Throughput Low Power FIFO Used for GALS NoC Buffers. - Mohammad Fattah; Abdurrahman Manian; Abbas Rahimi; Siamak Mohammadi (ISVLSI, 2010)

A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters. - Abbas Rahimi; Igor Loi; Mohammad Reza Kakoee; Luca Benini (DATE, 2011)

Low-energy GALS NoC with FIFO - Monitoring dynamic voltage scaling. - Abbas Rahimi; Mostafa E. Salehi; Siamak Mohammadi; Sied Mehdi Fakhraie (Microelectron. J., 2011)

Analysis of instruction-level vulnerability to dynamic voltage and temperature variations. - Abbas Rahimi; Luca Benini; Rajesh K. Gupta 001 (DATE, 2012)

Procedure hopping: a low overhead solution to mitigate variability in shared-L1 processor clusters. - Abbas Rahimi; Luca Benini; Rajesh Gupta 001 (ISLPED, 2012)

ARGO: Aging-aware GPGPU register file allocation. - Majid Namaki-Shoushtari; Abbas Rahimi; Nikil D. Dutt; Puneet Gupta 001; Rajesh K. Gupta 001 (CODES+ISSS, 2013)

A variability-aware OpenMP environment for efficient execution of accuracy-configurable computation on shared-FPU processor clusters. - Abbas Rahimi; Andrea Marongiu; Rajesh K. Gupta 001; Luca Benini (CODES+ISSS, 2013)

Aging-aware compiler-directed VLIW assignment for GPGPU architectures. - Abbas Rahimi; Luca Benini; Rajesh K. Gupta 001 (DAC, 2013)

Hierarchically focused guardbanding: an adaptive approach to mitigate PVT variations and aging. - Abbas Rahimi; Luca Benini; Rajesh K. Gupta 001 (DATE, 2013)

Variation-tolerant OpenMP tasking on tightly-coupled processor clusters. - Abbas Rahimi; Andrea Marongiu; Paolo Burgio; Rajesh K. Gupta 001; Luca Benini (DATE, 2013)

Spatial Memoization: Concurrent Instruction Reuse to Correct Timing Errors in SIMD Architectures. - Abbas Rahimi; Luca Benini; Rajesh K. Gupta 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2013)

Energy-Efficient GPGPU Architectures via Collaborative Compilation and Memristive Memory-Based Computing. - Abbas Rahimi; Amirali Ghofrani; Miguel Angel Lastras-Montaño; Kwang-Ting Cheng; Luca Benini; Rajesh K. Gupta 001 (DAC, 2014)

Temporal memoization for energy-efficient timing error recovery in GPGPUs. - Abbas Rahimi; Luca Benini; Rajesh K. Gupta 001 (DATE, 2014)

Energy-efficient mapping of biomedical applications on domain-specific accelerator under process variation. - Mohammad Khavari Tavana; Amey M. Kulkarni; Abbas Rahimi; Tinoosh Mohsenin; Houman Homayoun (ISLPED, 2014)

Improving Resilience to Timing Errors by Exposing Variability Effects to Software in Tightly-Coupled Processor Clusters. - Abbas Rahimi; Daniele Cesarini; Andrea Marongiu; Rajesh K. Gupta 001; Luca Benini (IEEE J. Emerg. Sel. Topics Circuits Syst., 2014)

Application-Adaptive Guardbanding to Mitigate Static and Dynamic Variability. - Abbas Rahimi; Luca Benini; Rajesh K. Gupta 001 (IEEE Trans. Computers, 2014)

Task scheduling strategies to mitigate hardware variability in embedded shared memory clusters. - Abbas Rahimi; Daniele Cesarini; Andrea Marongiu; Rajesh K. Gupta 001; Luca Benini (DAC, 2015)

Approximate associative memristive memory for energy-efficient GPUs. - Abbas Rahimi; Amirali Ghofrani; Kwang-Ting Cheng; Luca Benini; Rajesh K. Gupta 001 (DATE, 2015)

Axilog: language support for approximate hardware design. - Amir Yazdanbakhsh; Divya Mahajan 001; Bradley Thwaites; Jongse Park; Anandhavel Nagendrakumar; Sindhuja Sethuraman; Kartik Ramkrishnan; Nishanthi Ravindran; Rudra Jariwala; Abbas Rahimi; Hadi Esmaeilzadeh; Kia Bazargan (DATE, 2015)

Supervised learning based model for predicting variability-induced timing errors. - Xun Jiao; Abbas Rahimi; Balakrishnan Narayanaswamy; Hamed Fatemi; José Pineda de Gyvez; Rajesh K. Gupta 001 (NEWCAS, 2015)

NSF expedition on variability-aware software: Recent results and contributions. - 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 001; Rajesh K. Gupta 001; et al. (it Inf. Technol., 2015)

Axilog: Abstractions for Approximate Hardware Design and Reuse. - Divya Mahajan 001; Kartik Ramkrishnan; Rudra Jariwala; Amir Yazdanbakhsh; Jongse Park; Bradley Thwaites; Anandhavel Nagendrakumar; Abbas Rahimi; Hadi Esmaeilzadeh; Kia Bazargan (IEEE Micro, 2015)

Aging-Aware Compilation for GP-GPUs. - Atieh Lotfi; Abbas Rahimi; Luca Benini; Rajesh K. Gupta 001 (ACM Trans. Archit. Code Optim., 2015)

From Variability-Tolerance to Approximate Computing in Parallel Computing Architectures. - Abbas Rahimi (2015)

Resistive Bloom filters: From approximate membership to approximate computing with bounded errors. - Vahideh Akhlaghi; Abbas Rahimi; Rajesh K. Gupta 001 (DATE, 2016)

Resistive configurable associative memory for approximate computing. - Mohsen Imani; Abbas Rahimi; Tajana Simunic Rosing (DATE, 2016)

Grater: An approximation workflow for exploiting data-level parallelism in FPGA acceleration. - Atieh Lotfi; Abbas Rahimi; Amir Yazdanbakhsh; Hadi Esmaeilzadeh; Rajesh K. Gupta 001 (DATE, 2016)

WILD: A workload-based learning model to predict dynamic delay of functional units. - Xun Jiao; Yu Jiang 001; Abbas Rahimi; Rajesh K. Gupta 001 (ICCD, 2016)

Hyperdimensional biosignal processing: A case study for EMG-based hand gesture recognition. - Abbas Rahimi; Simone Benatti; Pentti Kanerva; Luca Benini; Jan M. Rabaey (ICRC, 2016)

ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. - Mohsen Imani; Yeseong Kim; Abbas Rahimi; Tajana Rosing (ISLPED, 2016)

A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing. - Abbas Rahimi; Pentti Kanerva; Jan M. Rabaey (ISLPED, 2016)

A low-power hybrid magnetic cache architecture exploiting narrow-width values. - Mohsen Imani; Abbas Rahimi; Yeseong Kim; Tajana Rosing (NVMSA, 2016)

CIRCA-GPUs: Increasing Instruction Reuse Through Inexact Computing in GP-GPUs. - Abbas Rahimi; Luca Benini; Rajesh K. Gupta 001 (IEEE Des. Test, 2016)

Associative Memristive Memory for Approximate Computing in GPUs. - Amirali Ghofrani; Abbas Rahimi; Miguel Angel Lastras-Montaño; Luca Benini; Rajesh K. Gupta 001; Kwang-Ting Cheng (IEEE J. Emerg. Sel. Topics Circuits Syst., 2016)

Variability Mitigation in Nanometer CMOS Integrated Systems: A Survey of Techniques From Circuits to Software. - Abbas Rahimi; Luca Benini; Rajesh K. Gupta 001 (Proc. IEEE, 2016)

Efficient neural network acceleration on GPGPU using content addressable memory. - Mohsen Imani; Daniel Peroni; Yeseong Kim; Abbas Rahimi; Tajana Rosing (DATE, 2017)

SLoT: A supervised learning model to predict dynamic timing errors of functional units. - Xun Jiao; Yu Jiang 001; Abbas Rahimi; Rajesh K. Gupta 001 (DATE, 2017)

Exploring Hyperdimensional Associative Memory. - Mohsen Imani; Abbas Rahimi; Deqian Kong; Tajana Rosing; Jan M. Rabaey (HPCA, 2017)

VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition. - Mohsen Imani; Deqian Kong; Abbas Rahimi; Tajana Rosing (ICRC, 2017)

Human-centric computing - The case for a Hyper-Dimensional approach. - Jan M. Rabaey; Abbas Rahimi; Sohum Datta; Miles Rusch; Pentti Kanerva; Bruno A. Olshausen (IWASI, 2017)

Autoscaling Bloom Filter: Controlling Trade-off Between True and False Positives. - Denis Kleyko; Abbas Rahimi; Evgeny Osipov (CoRR, 2017)

An 826 MOPS, 210 uW/MHz Unum ALU in 65 nm. - Florian Glaser; Stefan Mach; Abbas Rahimi; Frank K. Gürkaynak; Qiuting Huang; Luca Benini (CoRR, 2017)

Low-Power Sparse Hyperdimensional Encoder for Language Recognition. - Mohsen Imani; John Hwang; Tajana Rosing; Abbas Rahimi; Jan M. Rabaey (IEEE Des. Test, 2017)

High-Dimensional Computing as a Nanoscalable Paradigm. - Abbas Rahimi; Sohum Datta; Denis Kleyko; Edward Paxon Frady; Bruno A. Olshausen; Pentti Kanerva; Jan M. Rabaey (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

HDNA: Energy-efficient DNA sequencing using hyperdimensional computing. - Mohsen Imani; Tarek Nassar; Abbas Rahimi; Tajana Rosing (BHI, 2018)

One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. - Alessio Burrello; Kaspar Schindler; Luca Benini; Abbas Rahimi (BioCAS, 2018)

PULP-HD: accelerating brain-inspired high-dimensional computing on a parallel ultra-low power platform. - Fabio Montagna; Abbas Rahimi; Simone Benatti; Davide Rossi; Luca Benini (DAC, 2018)

Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features. - Michael Hersche; Tino Rellstab; Pasquale Davide Schiavone; Lukas Cavigelli; Luca Benini; Abbas Rahimi (EUSIPCO, 2018)

An 826 MOPS, 210uW/MHz Unum ALU in 65 nm. - Florian Glaser; Stefan Mach; Abbas Rahimi; Frank K. Gürkaynak; Qiuting Huang; Luca Benini (ISCAS, 2018)

An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier. - 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; et al. (ISCAS, 2018)

Brain-inspired computing exploiting carbon nanotube FETs and resistive RAM: Hyperdimensional computing case study. - Tony F. Wu; Haitong Li; Ping-Chen Huang; Abbas Rahimi; Jan M. Rabaey; H.-S. Philip Wong; Max M. Shulaker; Subhasish Mitra (ISSCC, 2018)

Hyperdimensional Computing Nanosystem. - Abbas Rahimi; Tony F. Wu; Haitong Li; Jan M. Rabaey; H.-S. Philip Wong; Max M. Shulaker; Subhasish Mitra (CoRR, 2018)

Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces. - Michael Hersche; José del R. Millán; Luca Benini; Abbas Rahimi (CoRR, 2018)

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

CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units. - Xun Jiao; Abbas Rahimi; Yu Jiang 001; Jianguo Wang 001; Hamed Fatemi; José Pineda de Gyvez; Rajesh K. Gupta 001 (IEEE Trans. Computers, 2018)

Multi-Stage Tunable Approximate Search in Resistive Associative Memory. - Mohsen Imani; Abbas Rahimi; Pietro Mercati; Tajana Simunic Rosing (IEEE Trans. Multi Scale Comput. Syst., 2018)

Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics. - Denis Kleyko; Abbas Rahimi; Dmitri A. Rachkovskij; Evgeny Osipov; Jan M. Rabaey (IEEE Trans. Neural Networks Learn. Syst., 2018)

Hyperdimensional Computing-based Multimodality Emotion Recognition with Physiological Signals. - En-Jui Chang; Abbas Rahimi; Luca Benini; An-Yeu Andy Wu (AICAS, 2019)

Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing. - Ali Moin; Andy Zhou; Simone Benatti; Abbas Rahimi; Luca Benini; Jan M. Rabaey (BioCAS, 2019)

Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms. - Alessio Burrello; Lukas Cavigelli; Kaspar Schindler; Luca Benini; Abbas Rahimi (DATE, 2019)

Applications of Computation-In-Memory Architectures based on Memristive Devices. - 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; et al. (DATE, 2019)

Adaptive EMG-based hand gesture recognition using hyperdimensional computing. - 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; et al. (CoRR, 2019)

In-memory hyperdimensional computing. - Geethan Karunaratne; Manuel Le Gallo; Giovanni Cherubini; Luca Benini; Abbas Rahimi; Abu Sebastian (CoRR, 2019)

Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory. - Manuel Schmuck; Luca Benini; Abbas Rahimi (ACM J. Emerg. Technol. Comput. Syst., 2019)

Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals. - Abbas Rahimi; Pentti Kanerva; Luca Benini; Jan M. Rabaey (Proc. IEEE, 2019)

Online Learning and Classification of EMG-Based Gestures on a Parallel Ultra-Low Power Platform Using Hyperdimensional Computing. - Simone Benatti; Fabio Montagna; Victor Javier Kartsch; Abbas Rahimi; Davide Rossi; Luca Benini (IEEE Trans. Biomed. Circuits Syst., 2019)

Resistive CAM Acceleration for Tunable Approximate Computing. - Mohsen Imani; Daniel Peroni; Abbas Rahimi; Tajana Simunic Rosing (IEEE Trans. Emerg. Top. Comput., 2019)

Binary Models for Motor-Imagery Brain-Computer Interfaces: Sparse Random Projection and Binarized SVM. - Michael Hersche; Luca Benini; Abbas Rahimi (AICAS, 2020)

Evolvable Hyperdimensional Computing: Unsupervised Regeneration of Associative Memory to Recover Faulty Components. - Michael Hersche; Sara Sangalli; Luca Benini; Abbas Rahimi (AICAS, 2020)

Compressing Subject-specific Brain-Computer Interface Models into One Model by Superposition in Hyperdimensional Space. - Michael Hersche; Philipp Rupp; Luca Benini; Abbas Rahimi (DATE, 2020)

Integrating event-based dynamic vision sensors with sparse hyperdimensional computing: a low-power accelerator with online learning capability. - Michael Hersche; Edoardo Mello Rella; Alfio Di Mauro; Luca Benini; Abbas Rahimi (ISLPED, 2020)

Explainable Deep Learning for Medical Time Series Data. - Thomas Frick; Stefan Glüge; Abbas Rahimi; Luca Benini; Thomas Brunschwiler (MobiHealth, 2020)

Robust High-dimensional Memory-augmented Neural Networks. - Geethan Karunaratne; Manuel Schmuck; Manuel Le Gallo; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2020)

Binarization Methods for Motor-Imagery Brain-Computer Interface Classification. - Michael Hersche; Luca Benini; Abbas Rahimi (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Hyperdimensional Computing for Blind and One-Shot Classification of EEG Error-Related Potentials. - Abbas Rahimi; Artiom Tchouprina; Pentti Kanerva; José del R. Millán; Jan M. Rabaey (Mob. Networks Appl., 2020)

Autoscaling Bloom filter: controlling trade-off between true and false positives. - Denis Kleyko; Abbas Rahimi; Ross W. Gayler; Evgeny Osipov (Neural Comput. Appl., 2020)

Hyperdimensional Computing With Local Binary Patterns: One-Shot Learning of Seizure Onset and Identification of Ictogenic Brain Regions Using Short-Time iEEG Recordings. - Alessio Burrello; Kaspar Schindler; Luca Benini; Abbas Rahimi (IEEE Trans. Biomed. Eng., 2020)

Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array. - Geethan Karunaratne; Abbas Rahimi; Manuel Le Gallo; Giovanni Cherubini; Abu Sebastian (AICAS, 2021)

Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). - Sizhe Zhang; Ruixuan Wang; Jeff Jun Zhang; Abbas Rahimi; Xun Jiao (ASAP, 2021)

Near-channel classifier: symbiotic communication and classification in high-dimensional space. - Michael Hersche; Stefan Lippuner; Matthias Korb; Luca Benini; Abbas Rahimi (Brain Informatics, 2021)

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. - Denis Kleyko; Mike Davies 002; Edward Paxon Frady; Pentti Kanerva; Spencer J. Kent; Bruno A. Olshausen; Evgeny Osipov; Jan M. Rabaey; Dmitri A. Rachkovskij; Abbas Rahimi; Friedrich T. Sommer (CoRR, 2021)

Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing. - Abbas Rahimi; Manuel Le Gallo; Abu Sebastian (ERCIM News, 2021)

Guest Editorial: IEEE TC Special Issue On Smart Edge Computing and IoT. - Luca Benini; Simone Benatti; Taekwang Jang; Abbas Rahimi (IEEE Trans. Computers, 2021)

A 5 μW Standard Cell Memory-Based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing. - Manuel Eggimann; Abbas Rahimi; Luca Benini (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing. - Geethan Karunaratne; Manuel Le Gallo; Michael Hersche; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection. - Alessio Burrello; Simone Benatti; Kaspar Schindler; Luca Benini; Abbas Rahimi (IEEE J. Biomed. Health Informatics, 2021)

Constrained Few-shot Class-incremental Learning. - Michael Hersche; Geethan Karunaratne; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (CVPR, 2022)

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. - 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; et al. (ESSCIRC, 2022)

Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. - Robert Guirado; Abbas Rahimi; Geethan Karunaratne; Eduard Alarcón; Abu Sebastian; Sergi Abadal (IJCNN, 2022)

In-memory factorization of holographic perceptual representations. - Jovin Langenegger; Geethan Karunaratne; Michael Hersche; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2022)

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. - Denis Kleyko; Mike Davies 002; Edward Paxon Frady; Pentti Kanerva; Spencer J. Kent; Bruno A. Olshausen; Evgeny Osipov; Jan M. Rabaey; Dmitri A. Rachkovskij; Abbas Rahimi; Friedrich T. Sommer (Proc. IEEE, 2022)

Towards Generating Structurally Realistic Models by Generative Adversarial Networks. - Abbas Rahimi; Massimo Tisi; Shekoufeh Kolahdouz Rahimi; Luca Berardinelli (MoDELS (Companion), 2023)

VSA-based Positional Encoding Can Replace Recurrent Networks in Emergent Symbol Binding. - Francesco S. Carzaniga; Michael Hersche; Kaspar Schindler; Abbas Rahimi (NeSy, 2023)

Decoding Superpositions of Bound Symbols Represented by Distributed Representations. - Michael Hersche; Zuzanna Opala; Geethan Karunaratne; Abu Sebastian; Abbas Rahimi (NeSy, 2023)

Solving Raven's Progressive Matrices via a Neuro-vector-symbolic Architecture. - Michael Hersche; Mustafa Zeqiri; Luca Benini; Abu Sebastian; Abbas Rahimi (NeSy, 2023)

MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. - Nicolas Menet; Michael Hersche; Geethan Karunaratne; Luca Benini; Abu Sebastian; Abbas Rahimi (NeurIPS, 2023)

Factorizers for Distributed Sparse Block Codes. - Michael Hersche; Aleksandar Terzic; Geethan Karunaratne; Jovin Langenegger; Angéline Pouget; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2023)

Model-Driven Engineering for Artificial Intelligence - A Systematic Literature Review. - Simon Rädler; Luca Berardinelli; Karolin Winter; Abbas Rahimi; Stefanie Rinderle-Ma (CoRR, 2023)

TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing. - Aleksandar Terzic; Michael Hersche; Geethan Karunaratne; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2023)

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. - Denis Kleyko; Dmitri A. Rachkovskij; Evgeny Osipov; Abbas Rahimi (ACM Comput. Surv., 2023)

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. - Denis Kleyko; Dmitri A. Rachkovskij; Evgeny Osipov; Abbas Rahimi (ACM Comput. Surv., 2023)

Few-Shot Continual Learning Based on Vector Symbolic Architectures. - Geethan Karunaratne; Michael Hersche; Giovanni Cherubini; Abu Sebastian; Abbas Rahimi (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Raw data related to In-memory factorization of holographic perceptual representations. - Jovin Langenegger; Geethan Karunaratne; Michael Hersche; Luca Benini; Abu Sebastian; Abbas Rahimi (Zenodo, 2023)

WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing. - Robert Guirado; Abbas Rahimi; Geethan Karunaratne; Eduard Alarcón; Abu Sebastian; Sergi Abadal (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

A neuro-vector-symbolic architecture for solving Raven's progressive matrices. - Michael Hersche; Mustafa Zeqiri; Luca Benini; Abu Sebastian; Abbas Rahimi (Nat. Mac. Intell., 2023)

Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. - Denis Kleyko; Geethan Karunaratne; Jan M. Rabaey; Abu Sebastian; Abbas Rahimi (IEEE Trans. Neural Networks Learn. Syst., 2023)

Zero-Shot Classification Using Hyperdimensional Computing. - Samuele Ruffino; Geethan Karunaratne; Michael Hersche; Luca Benini; Abu Sebastian; Abbas Rahimi (DATE, 2024)

12 mJ Per Class On-Device Online Few-Shot Class-Incremental Learning. - Yoga Esa Wibowo; Cristian Cioflan; Thorir Mar Ingolfsson; Michael Hersche; Leo Zhao; Abbas Rahimi; Luca Benini (DATE, 2024)

RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. - Gentiana Rashiti; Geethan Karunaratne; Mrinmaya Sachan; Abu Sebastian; Abbas Rahimi (ECAI, 2024)

Towards Learning Abductive Reasoning Using VSA Distributed Representations. - Giacomo Camposampiero; Michael Hersche; Aleksandar Terzic; Roger Wattenhofer; Abu Sebastian; Abbas Rahimi (NeSy (1), 2024)

Terminating Differentiable Tree Experts. - Jonathan Thomm; Michael Hersche; Giacomo Camposampiero; Aleksandar Terzic; Bernhard Schölkopf; Abbas Rahimi (NeSy (1), 2024)

Limits of Transformer Language Models on Learning to Compose Algorithms. - Jonathan Thomm; Giacomo Camposampiero; Aleksandar Terzic; Michael Hersche; Bernhard Schölkopf; Abbas Rahimi (NeurIPS, 2024)

Towards Automating Model-Based Systems Engineering in Industry - An Experience Report. - Johan Cederbladh; Luca Berardinelli; Hugo Bruneliere; Antonio Cicchetti; MohammadHadi Dehghani; Claudio Di Sipio; James William Pontes Miranda; Abbas Rahimi; Riccardo Rubei; Jagadish Suryadevara (SysCon, 2024)

Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures. - Michael Hersche; Francesco Di Stefano; Thomas Hofmann 001; Abu Sebastian; Abbas Rahimi (CoRR, 2024)

Limits of Transformer Language Models on Learning Algorithmic Compositions. - Jonathan Thomm; Aleksandar Terzic; Geethan Karunaratne; Giacomo Camposampiero; Bernhard Schölkopf; Abbas Rahimi (CoRR, 2024)

Kernel Approximation using Analog In-Memory Computing. - Julian Büchel; Giacomo Camposampiero; Athanasios Vasilopoulos; Corey Lammie; Manuel Le Gallo; Abbas Rahimi; Abu Sebastian (CoRR, 2024)

On the Role of Noise in Factorizers for Disentangling Distributed Representations. - Geethan Karunaratne; Michael Hersche; Abu Sebastian; Abbas Rahimi (CoRR, 2024)

Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning. - Michael Hersche; Giacomo Camposampiero; Roger Wattenhofer; Abu Sebastian; Abbas Rahimi (CoRR, 2024)

Kernel approximation using analogue in-memory computing. - Julian Büchel; Giacomo Camposampiero; Athanasios Vasilopoulos; Corey Lammie; Manuel Le Gallo; Abbas Rahimi; Abu Sebastian (Nat. Mac. Intell., 2024)

On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages. - Aleksandar Terzic; Michael Hersche; Giacomo Camposampiero; Thomas Hofmann 001; Abu Sebastian; Abbas Rahimi (AAAI, 2025)

The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG. - Francesco S. Carzaniga; Gary Tom Hoppeler; Michael Hersche; Kaspar Schindler; Abbas Rahimi (ICLR, 2025)

Author Correction: Kernel approximation using analogue in-memory computing. - Julian Büchel; Giacomo Camposampiero; Athanasios Vasilopoulos; Corey Lammie; Manuel Le Gallo; Abbas Rahimi; Abu Sebastian (Nat. Mac. Intell., 2025)

Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing. - 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 (Nat. Comput. Sci., 2025)

The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG. - Francesco S. Carzaniga; Gary Tom Hoppeler; Michael Hersche; Kaspar Anton Schindler; Abbas Rahimi (CoRR, 2025)

Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty? - Giacomo Camposampiero; Michael Hersche; Roger Wattenhofer; Abu Sebastian; Abbas Rahimi (CoRR, 2025)

Bridging MDE and AI: a systematic review of domain-specific languages and model-driven practices in AI software systems engineering. - Simon Rädler; Luca Berardinelli; Karolin Winter; Abbas Rahimi; Stefanie Rinderle-Ma (Softw. Syst. Model., 2025)

Analog Foundation Models. - Julian Büchel; Iason Chalas; Giovanni Acampa; An Chen 002; Omobayode Fagbohungbe; Sidney Tsai; Kaoutar El Maghraoui; Manuel Le Gallo; Abbas Rahimi; Abu Sebastian (CoRR, 2025)

A foundation model with multi-variate parallel attention to generate neuronal activity. - Francesco S. Carzaniga; Michael Hersche; Abu Sebastian; Kaspar Anton Schindler; Abbas Rahimi (CoRR, 2025)