A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Yulong Lu, Jianfeng Lu 0001. A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

This author has not been identified. Look up 'Yulong Lu' in GoogleThis author has not been identified. Look up 'Jianfeng Lu 0001' in Google

runs on WebDSL