MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- Nicolas Menet
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
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21 results for Michael Hersche
Limits of Transformer Language Models on Learning to Compose Algorithms
- Jonathan Thomm
- Aleksandar Terzic
- et al.
- 2024
- NeurIPS 2024
Recurrent Transformers Trade-off Parallelism for Length Generalization on Regular Languages
- Paul Soulos
- Aleksandar Terzic
- et al.
- 2024
- NeurIPS 2024
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
- Aleksandar Terzic
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
- Michael Hersche
- Francesco Di Stefano
- et al.
- 2023
- NeurIPS 2023
On the role of noise in factorizers for disentangling distributed representations
- 2024
- NeurIPS 2024
A neuro-vector-symbolic architecture for solving Raven’s progressive matrices
- Michael Hersche
- Mustafa Zeqiri
- et al.
- 2023
- Nature Machine Intelligence
In-memory factorization of holographic perceptual representations
- Jovin Langenegger
- Geethan Karunaratne
- et al.
- 2023
- Nature Nanotechnology
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory
- G. Karunaratne
- M. Hersche
- et al.
- 2022
- ESSDERC/ESSCIRC 2022
Constrained Few-shot Class-incremental Learning
- Michael Hersche
- Geethan Karunaratne
- et al.
- 2022
- CVPR 2022