Poster "sparse neural networks" Papers

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Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected

Yingtao Zhang, Diego Cerretti, Jialin Zhao et al.

NEURIPS 2025arXiv:2501.19107
3
citations

Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks

Julia Nakhleh, Robert Nowak

NEURIPS 2025arXiv:2505.21791

More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing

Sagi Shaier, Francisco Pereira, Katharina Kann et al.

ICLR 2025arXiv:2410.08003

Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks

Hang Yu, Lyumin Wu, Wenxin Zhou et al.

NEURIPS 2025

Sign-In to the Lottery: Reparameterizing Sparse Training

Advait Gadhikar, Tom Jacobs, chao zhou et al.

NEURIPS 2025arXiv:2504.12801
1
citations

No Free Prune: Information-Theoretic Barriers to Pruning at Initialization

Tanishq Kumar, Kevin Luo, Mark Sellke

ICML 2024arXiv:2402.01089
9
citations

Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once

Zhangheng Li, Shiwei Liu, Tianlong Chen et al.

ICML 2024