On the Watermark String in the Davey-MacKay Construction. - Phan-Minh Nguyen; Marc André Armand; Tong Wu (IEEE Commun. Lett., 2013)

On Capacity Formulation With Stationary Inputs and Application to a Bit-Patterned Media Recording Channel Model. - Phan-Minh Nguyen; Marc André Armand (IEEE Trans. Inf. Theory, 2015)

Capacity of the Energy-Harvesting Channel With a Finite Battery. - Dor Shaviv; Phan-Minh Nguyen; Ayfer Özgür Aydin (IEEE Trans. Inf. Theory, 2016)

Universality of the elastic net error. - Andrea Montanari; Phan-Minh Nguyen (ISIT, 2017)

State Evolution for Approximate Message Passing with Non-Separable Functions. - Raphaël Berthier; Andrea Montanari; Phan-Minh Nguyen (CoRR, 2017)

A Mean Field View of the Landscape of Two-Layers Neural Networks. - Song Mei; Andrea Montanari; Phan-Minh Nguyen (CoRR, 2018)

On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training. - Ping Li 001; Phan-Minh Nguyen (ICLR, 2019)

Mean Field Limit of the Learning Dynamics of Multilayer Neural Networks. - Phan-Minh Nguyen (CoRR, 2019)

A Rigorous Framework for the Mean Field Limit of Multilayer Neural Networks. - Phan-Minh Nguyen; Huy Tuan Pham (CoRR, 2020)

A Note on the Global Convergence of Multilayer Neural Networks in the Mean Field Regime. - Huy Tuan Pham; Phan-Minh Nguyen (CoRR, 2020)

Global Convergence of Three-layer Neural Networks in the Mean Field Regime. - Huy Tuan Pham; Phan-Minh Nguyen (ICLR, 2021)

Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training. - Huy Tuan Pham; Phan-Minh Nguyen (NeurIPS, 2021)

Analysis of feature learning in weight-tied autoencoders via the mean field lens. - Phan-Minh Nguyen (CoRR, 2021)