A Comparative Study of Mixed Traffic Scenarios for Different Scheduling Algorithms in WiMAX. - Milad Alizadeh; Rudzidatul Akmam Dziyauddin; Dritan Kaleshi; Angela Doufexi (VTC Spring, 2012)

Performance Evaluation of Quality of Service for Joint Packet Dropping and Scheduling. - Rudzidatul Akmam Dziyauddin; Dritan Kaleshi; Angela Doufexi; Milad Alizadeh (Wirel. Pers. Commun., 2015)

Deterministic Binary Filters for Convolutional Neural Networks. - Vincent W. S. Tseng; Sourav Bhattacharya; Javier Fernández-Marqués; Milad Alizadeh; Catherine Tong; Nicholas D. Lane (IJCAI, 2018)

Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices. - Milad Alizadeh; Nicholas D. Lane (MobiSys, 2018)

An Empirical study of Binary Neural Networks' Optimisation. - Milad Alizadeh; Javier Fernández-Marqués; Nicholas D. Lane; Yarin Gal (ICLR (Poster), 2019)

A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks. - Angelos Filos; Sebastian Farquhar; Aidan N. Gomez; Tim G. J. Rudner; Zachary Kenton; Lewis Smith; Milad Alizadeh; Arnoud de Kroon; Yarin Gal (CoRR, 2019)

Gradient $ ell_1$ Regularization for Quantization Robustness. - Milad Alizadeh; Arash Behboodi; Mart van Baalen; Christos Louizos; Tijmen Blankevoort; Max Welling (ICLR, 2020)

Gradient 𝓁1 Regularization for Quantization Robustness. - Milad Alizadeh; Arash Behboodi; Mart van Baalen; Christos Louizos; Tijmen Blankevoort; Max Welling (CoRR, 2020)

Single Shot Structured Pruning Before Training. - Joost van Amersfoort; Milad Alizadeh; Sebastian Farquhar; Nicholas D. Lane; Yarin Gal (CoRR, 2020)

COIN: COmpression with Implicit Neural representations. - Emilien Dupont; Adam Golinski; Milad Alizadeh; Yee Whye Teh; Arnaud Doucet (CoRR, 2021)

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. - Milad Alizadeh; Shyam A. Tailor; Luisa M. Zintgraf; Joost van Amersfoort; Sebastian Farquhar; Nicholas Donald Lane; Yarin Gal (ICLR, 2022)

COIN++: Data Agnostic Neural Compression. - Emilien Dupont; Hrushikesh Loya; Milad Alizadeh; Adam Golinski; Yee Whye Teh; Arnaud Doucet (CoRR, 2022)

COIN++: Neural Compression Across Modalities. - Emilien Dupont; Hrushikesh Loya; Milad Alizadeh; Adam Golinski; Yee Whye Teh; Arnaud Doucet (Trans. Mach. Learn. Res., 2022)

Compression of models and data in deep learning. - Milad Alizadeh (2022)

On Leakage of Code Generation Evaluation Datasets. - Alexandre Matton; Tom Sherborne; Dennis Aumiller; Elena Tommasone; Milad Alizadeh; Jingyi He; Raymond Ma; Maxime Voisin; Ellen Gilsenan-McMahon; Matthias Gallé (EMNLP (Findings), 2024)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

What Matters for Bioacoustic Encoding. - Marius Miron; David Robinson; Milad Alizadeh; Ellen Gilsenan-McMahon; Gagan Narula; Emmanuel Chemla; Maddie Cusimano; Felix Effenberger; Masato Hagiwara; Benjamin Hoffman; Sara Keen; Diane Kim; et al. (CoRR, 2025)