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7 Results
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Workshop
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Neural Representational Geometry of Concepts in Large Language Models Linden Schrage · Kazuki Irie · Haim Sompolinsky |
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Workshop
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Task-Relevant Covariance from Manifold Capacity Theory Improves Robustness in Deep Networks William Yang · Chi-Ning Chou · SueYeon Chung |
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Workshop
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Convergence Properties of Hyperbolic Neural Networks on Riemannian Manifolds Nico Alvarado · Sebastian Burgos |
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Poster
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Thu 16:30 |
Spiking Graph Neural Network on Riemannian Manifolds Li Sun · Zhenhao Huang · Qiqi Wan · Hao Peng · Philip S Yu |
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Workshop
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Storing overlapping associative memories on latent manifolds in low-rank spiking networks William F. Podlaski · Christian Machens |
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Poster
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Fri 11:00 |
Hardness of Learning Neural Networks under the Manifold Hypothesis Bobak Kiani · Jason Wang · Melanie Weber |
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Workshop
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Projected Neural Differential Equations for Power Grid Modeling with Constraints Alistair White · Anna Büttner · Maximilian Gelbrecht · Niki Kilbertus · Frank Hellmann · Niklas Boers |