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)

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)

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)

An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing. - Xiaying Wang; Michael Hersche; Batuhan Tömekce; Burak Kaya; Michele Magno; Luca Benini (MeMeA, 2020)

Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. - Tibor Schneider; Xiaying Wang; Michael Hersche; Lukas Cavigelli; Luca Benini (SMARTCOMP, 2020)

EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. - Thorir Mar Ingolfsson; Michael Hersche; Xiaying Wang; Nobuaki Kobayashi; Lukas Cavigelli; Luca Benini (SMC, 2020)

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

ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. - Thorir Mar Ingolfsson; Xiaying Wang; Michael Hersche; Alessio Burrello; Lukas Cavigelli; Luca Benini (AICAS, 2021)

Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain-Machine Interfaces. - Xiaying Wang; Tibor Schneider; Michael Hersche; Lukas Cavigelli; Luca Benini (ISCAS, 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)

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)

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)

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

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)

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)

Neuro-vector-symbolic architectures: Exploring computation in superposition for perception, reasoning, and combinatorial search. - Michael Hersche (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)

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)

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)

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)

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)

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)

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)

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)

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)