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ORCIDMichael Hersche
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2020 – today
- 2024
[c20]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-Shot Classification Using Hyperdimensional Computing. DATE 2024: 1-2- [c19]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 - [c18]Jonathan Thomm
, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzic, Bernhard Schölkopf, Abbas Rahimi:
Terminating Differentiable Tree Experts. NeSy (1) 2024: 296-311 - [c17]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 - [i19]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) - [i18]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-shot Classification using Hyperdimensional Computing. CoRR abs/2401.16876 (2024) - [i17]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) - [i16]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) - [i15]Jonathan Thomm, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzic, Bernhard Schölkopf, Abbas Rahimi:
Terminating Differentiable Tree Experts. CoRR abs/2407.02060 (2024) - 2023
- [b1]Michael Hersche:
Neuro-vector-symbolic architectures: Exploring computation in superposition for perception, reasoning, and combinatorial search. ETH Zurich, Zürich, Switzerland, 2023 - [j4]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) - [c16]Michael Hersche, Zuzanna Opala, Geethan Karunaratne, Abu Sebastian, Abbas Rahimi:
Decoding Superpositions of Bound Symbols Represented by Distributed Representations. NeSy 2023: 279-288 - [c15]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 - [c14]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 - [c13]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
- [i14]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) - [i13]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) - [i12]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
- [c12]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CVPR 2022: 9047-9057 - [c11]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 - [i11]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) - [i10]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CoRR abs/2203.16588 (2022) - [i9]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) - [i8]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
- [j3]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) - [j2]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) - [c10]Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini:
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. AICAS 2021: 1-4 - [c9]Xiaying Wang, Tibor Schneider, Michael Hersche, Lukas Cavigelli, Luca Benini:
Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain-Machine Interfaces. ISCAS 2021: 1-5 - [i7]Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini:
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. CoRR abs/2103.13740 (2021) - [i6]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) - 2020
- [j1]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) - [c8]Michael Hersche, Luca Benini, Abbas Rahimi:
Binary Models for Motor-Imagery Brain-Computer Interfaces: Sparse Random Projection and Binarized SVM. AICAS 2020: 163-167 - [c7]Michael Hersche, Sara Sangalli, Luca Benini, Abbas Rahimi:
Evolvable Hyperdimensional Computing: Unsupervised Regeneration of Associative Memory to Recover Faulty Components. AICAS 2020: 281-285 - [c6]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 - [c5]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 - [c4]Xiaying Wang, Michael Hersche, Batuhan Tömekce, Burak Kaya, Michele Magno, Luca Benini:
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing. MeMeA 2020: 1-6 - [c3]Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini:
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. SMARTCOMP 2020: 284-289 - [c2]Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, Nobuaki Kobayashi, Lukas Cavigelli, Luca Benini:
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. SMC 2020: 2958-2965 - [i5]Xiaying Wang, Michael Hersche, Batuhan Tömekce, Burak Kaya, Michele Magno, Luca Benini:
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing. CoRR abs/2004.00077 (2020) - [i4]Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini:
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. CoRR abs/2004.11690 (2020) - [i3]Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, Nobuaki Kobayashi, Lukas Cavigelli, Luca Benini:
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. CoRR abs/2006.00622 (2020) - [i2]Michael Hersche, Luca Benini, Abbas Rahimi:
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification. CoRR abs/2010.07004 (2020)
2010 – 2019
- 2018
- [c1]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 - [i1]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)
Coauthor Index
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last updated on 2024-10-04 20:56 CEST by the dblp team
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