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Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs.

, , , and . Neural Comput., 35 (11): 1850-1869 (November 2023)

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Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice., , , , and . NeurIPS, (2020)Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs., , , and . Neural Comput., 35 (11): 1850-1869 (November 2023)Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations., , , , , , , , , and 3 other author(s). CoRR, (2024)Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model., , , , , , , and . ICML, OpenReview.net, (2024)No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit., , and . NeurIPS, (2022)In-Context Learning of Energy Functions., , and . CoRR, (2024)Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Large Language Models., , , , and . CoRR, (2024)Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks., , , and . CoRR, (2023)How Capable Can a Transformer Become? A Study on Synthetic, Interpretable Tasks., , , , and . CoRR, (2023)Efficient online inference for nonparametric mixture models., , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 2072-2081. AUAI Press, (2021)