NeurIPS

Quantum Noise Tomography with Physics-Informed Neural Networks

Antonin Sulc

机构 * Lawrence Berkeley National Lab（伯克利国家实验室） 纠错

Comments 6 pages, 3 figures, Machine Learning and the Physical Sciences Workshop at the 39th conference on Neural Information Processing Systems (NeurIPS)

Multilingual Diversity Improves Vision-Language Representations

Thao Nguyen, Matthew Wallingford, Sebastin Santy, Wei-Chiu Ma, Sewoong Oh, Ludwig Schmidt, Pang Wei Koh, Ranjay Krishna

机构 * University of Washington（华盛顿大学） ； Allen Institute for Artificial Intelligence（人工智能研究院） 纠错

Comments NeurIPS 2024 Spotlight paper

A Permutation-free Kernel Two-Sample Test

Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas

Comments Published at the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), with an oral presentation. The current version on arXiv fixes a bug in the proof of Theorem 9

The LLM as a Network Operator: A Vision for Generative AI in the 6G Radio Access Network

Oluwaseyi Giwa, Michael Adewole, Tobi Awodumila, Pelumi Aderinto

机构 * African Institute for Mathematical Sciences（非洲数学科学研究所） 纠错

Comments Submitted to Workshop on AI and ML for Next-Generation Wireless Communications and Networking, NeurIPS 2025