MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- Nicolas Menet
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
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19 results for Abbas Rahimi
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
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
- Denis Kleyko
- Kumudu Geethan Karunaratne
- et al.
- 2022
- IEEE TNNLS
RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
- Gentiana Rashiti
- Kumudu Geethan Karunaratne
- et al.
- 2024
- ECAI 2024
Terminating Differentiable Tree Experts
- Jonathan Thomm
- Michael Hersche
- et al.
- 2024
- NeSy 2024
Towards Learning Abductive Reasoning using VSA Distributed Representations
- 2024
- NeSy 2024