ICML Poster "activation functions" Papers

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A sampling theory perspective on activations for implicit neural representations

Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko et al.

ICML 2024posterarXiv:2402.05427

Initial Guessing Bias: How Untrained Networks Favor Some Classes

Emanuele Francazi, Aurelien Lucchi, Marco Baity-Jesi

ICML 2024posterarXiv:2306.00809

Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?

Huy Nguyen, Pedram Akbarian, Nhat Ho

ICML 2024posterarXiv:2401.13875

On dimensionality of feature vectors in MPNNs

César Bravo, Alexander Kozachinskiy, Cristobal Rojas

ICML 2024posterarXiv:2402.03966

ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate

Chenghao Liu, Minghua Chen

ICML 2024poster

Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context

Xiang Cheng, Yuxin Chen, Suvrit Sra

ICML 2024posterarXiv:2312.06528