Michael Hersche
Orcid: 0000-0003-3065-7639
According to our database1,
Michael Hersche
authored at least 41 papers
between 2018 and 2025.
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Bibliography
2025
Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models.
CoRR, September, 2025
A foundation model with multi-variate parallel attention to generate neuronal activity.
CoRR, June, 2025
CoRR, March, 2025
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG.
CoRR, February, 2025
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning.
CoRR, 2024
CoRR, 2024
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024
Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
2023
Nat. Mac. Intell., April, 2023
Raw data related to In-memory factorization of holographic perceptual representations.
Dataset, February, 2023
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023
Neuro-vector-symbolic architectures: Exploring computation in superposition for perception, reasoning, and combinatorial search.
PhD thesis, 2023
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing.
CoRR, 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
VSA-based Positional Encoding Can Replace Recurrent Networks in Emergent Symbol Binding.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
2022
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory.
Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Near-channel classifier: symbiotic communication and classification in high-dimensional space.
Brain Informatics, 2021
Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain-Machine Interfaces.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces.
Proceedings of the IEEE International Conference on Smart Computing, 2020
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
Integrating event-based dynamic vision sensors with sparse hyperdimensional computing: a low-power accelerator with online learning capability.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020
Compressing Subject-specific Brain-Computer Interface Models into One Model by Superposition in Hyperdimensional Space.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Evolvable Hyperdimensional Computing: Unsupervised Regeneration of Associative Memory to Recover Faulty Components.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
Binary Models for Motor-Imagery Brain-Computer Interfaces: Sparse Random Projection and Binarized SVM.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
2018
Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces.
CoRR, 2018
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features.
Proceedings of the 26th European Signal Processing Conference, 2018