| 2026 | ICWE | AISA: A Web-Based Platform for Evaluating the Literature Search Capabilities of LLMs. | Abbas Rahimi, Manuel Wimmer, Michael Gusenbauer |
| 2025 | AAAI | On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages. | Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero, Thomas Hofmann, Abu Sebastian, Abbas Rahimi |
| 2025 | ICLR | 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 |
| 2025 | NeSy | Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty? | Giacomo Camposampiero, Michael Hersche, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi |
| 2025 | NeSy | Practical Lessons on Vector-Symbolic Architectures in Deep Learning-Inspired Environments. | Francesco S. Carzaniga, Michael Hersche, Kaspar Schindler, Abbas Rahimi |
| 2024 | DATE | Zero-Shot Classification Using Hyperdimensional Computing. | Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi |
| 2024 | DATE | 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 |
| 2024 | ECAI | 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 |
| 2024 | NeSy | Towards Learning Abductive Reasoning Using VSA Distributed Representations. | Giacomo Camposampiero, Michael Hersche, Aleksandar Terzic, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi |
| 2024 | NeSy | Terminating Differentiable Tree Experts. | Jonathan Thomm, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzic, Bernhard Schlkopf, Abbas Rahimi |
| 2023 | MODELS | Towards Generating Structurally Realistic Models by Generative Adversarial Networks. | Abbas Rahimi, Massimo Tisi, Shekoufeh Kolahdouz Rahimi, Luca Berardinelli |
| 2023 | NeSy | VSA-based Positional Encoding Can Replace Recurrent Networks in Emergent Symbol Binding. | Francesco S. Carzaniga, Michael Hersche, Kaspar Schindler, Abbas Rahimi |
| 2023 | NeSy | Decoding Superpositions of Bound Symbols Represented by Distributed Representations. | Michael Hersche, Zuzanna Opala, Geethan Karunaratne, Abu Sebastian, Abbas Rahimi |
| 2023 | NeSy | Solving Raven's Progressive Matrices via a Neuro-vector-symbolic Architecture. | Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi |
| 2022 | CVPR | Constrained Few-shot Class-incremental Learning. | Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi |
| 2022 | IJCNN | Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. | Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcn, Abu Sebastian, Sergi Abadal |
| 2020 | DATE | Compressing Subject-specific Brain-Computer Interface Models into One Model by Superposition in Hyperdimensional Space. | Michael Hersche, Philipp Rupp, Luca Benini, Abbas Rahimi |
| 2020 | ISLPED | 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 |
| 2019 | DATE | 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 |
| 2019 | DATE | 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 Garca-Redondo, Geethan Karunaratne, Abbas Rahimi, Luca Benini |
| 2018 | DAC | 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 |
| 2018 | ISCAS | An 826 MOPS, 210uW/MHz Unum ALU in 65 nm. | Florian Glaser, Stefan Mach, Abbas Rahimi, Frank K. Grkaynak, Qiuting Huang, Luca Benini |
| 2018 | ISCAS | 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, Jan M. Rabaey |
| 2017 | DATE | Efficient neural network acceleration on GPGPU using content addressable memory. | Mohsen Imani, Daniel Peroni, Yeseong Kim, Abbas Rahimi, Tajana Rosing |
| 2017 | DATE | SLoT: A supervised learning model to predict dynamic timing errors of functional units. | Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta |
| 2017 | HPCA | Exploring Hyperdimensional Associative Memory. | Mohsen Imani, Abbas Rahimi, Deqian Kong, Tajana Rosing, Jan M. Rabaey |
| 2016 | DATE | Resistive Bloom filters: From approximate membership to approximate computing with bounded errors. | Vahideh Akhlaghi, Abbas Rahimi, Rajesh K. Gupta |
| 2016 | DATE | Resistive configurable associative memory for approximate computing. | Mohsen Imani, Abbas Rahimi, Tajana Simunic Rosing |
| 2016 | DATE | Grater: An approximation workflow for exploiting data-level parallelism in FPGA acceleration. | Atieh Lotfi, Abbas Rahimi, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Rajesh K. Gupta |
| 2016 | ICCD | WILD: A workload-based learning model to predict dynamic delay of functional units. | Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta |
| 2016 | ISLPED | ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning. | Mohsen Imani, Yeseong Kim, Abbas Rahimi, Tajana Rosing |
| 2016 | ISLPED | A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing. | Abbas Rahimi, Pentti Kanerva, Jan M. Rabaey |
| 2015 | DAC | Task scheduling strategies to mitigate hardware variability in embedded shared memory clusters. | Abbas Rahimi, Daniele Cesarini, Andrea Marongiu, Rajesh K. Gupta, Luca Benini |
| 2015 | DATE | Approximate associative memristive memory for energy-efficient GPUs. | Abbas Rahimi, Amirali Ghofrani, Kwang-Ting Cheng, Luca Benini, Rajesh K. Gupta |
| 2015 | DATE | Axilog: language support for approximate hardware design. | Amir Yazdanbakhsh, Divya Mahajan, Bradley Thwaites, Jongse Park, Anandhavel Nagendrakumar, Sindhuja Sethuraman, Kartik Ramkrishnan, Nishanthi Ravindran, Rudra Jariwala, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan |
| 2014 | DAC | Energy-Efficient GPGPU Architectures via Collaborative Compilation and Memristive Memory-Based Computing. | Abbas Rahimi, Amirali Ghofrani, Miguel Angel Lastras-Montao, Kwang-Ting Cheng, Luca Benini, Rajesh K. Gupta |
| 2014 | DATE | Temporal memoization for energy-efficient timing error recovery in GPGPUs. | Abbas Rahimi, Luca Benini, Rajesh K. Gupta |
| 2014 | ISLPED | 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 |
| 2013 | DAC | Aging-aware compiler-directed VLIW assignment for GPGPU architectures. | Abbas Rahimi, Luca Benini, Rajesh K. Gupta |
| 2013 | DATE | Hierarchically focused guardbanding: an adaptive approach to mitigate PVT variations and aging. | Abbas Rahimi, Luca Benini, Rajesh K. Gupta |
| 2013 | DATE | Variation-tolerant OpenMP tasking on tightly-coupled processor clusters. | Abbas Rahimi, Andrea Marongiu, Paolo Burgio, Rajesh K. Gupta, Luca Benini |
| 2012 | DATE | Analysis of instruction-level vulnerability to dynamic voltage and temperature variations. | Abbas Rahimi, Luca Benini, Rajesh K. Gupta |
| 2012 | ISLPED | Procedure hopping: a low overhead solution to mitigate variability in shared-L1 processor clusters. | Abbas Rahimi, Luca Benini, Rajesh Gupta |
| 2011 | DATE | A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters. | Abbas Rahimi, Igor Loi, Mohammad Reza Kakoee, Luca Benini |