Gaussian processes for unconstraining demand. - Ilan Price; Jaroslav M. Fowkes; Daniel Hopman (Eur. J. Oper. Res., 2019)

Six Attributes of Unhealthy Conversations. - Ilan Price; Jordan Gifford-Moore; Jory Flemming; Saul Musker; Maayan Roichman; Guillaume Sylvain; Nithum Thain; Lucas Dixon; Jeffrey Sorensen (WOAH, 2020)

Six Attributes of Unhealthy Conversation. - Ilan Price; Jordan Gifford-Moore; Jory Flemming; Saul Musker; Maayan Roichman; Guillaume Sylvain; Nithum Thain; Lucas Dixon; Jeffrey Sorensen (CoRR, 2020)

Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset. - Ilan Price; Jared Tanner (ICML, 2021)

Trajectory growth lower bounds for random sparse deep ReLU networks. - Ilan Price; Jared Tanner (ICMLA, 2021)

Increasing the accuracy and resolution of precipitation forecasts using deep generative models. - Ilan Price; Stephan Rasp 001 (AISTATS, 2022)

Improved Projection Learning for Lower Dimensional Feature Maps. - Ilan Price; Jared Tanner (ICASSP, 2023)

GenCast: Diffusion-based ensemble forecasting for medium-range weather. - Ilan Price; Alvaro Sanchez-Gonzalez; Ferran Alet; Timo Ewalds; Andrew El-Kadi; Jacklynn Stott; Shakir Mohamed; Peter W. Battaglia; Rémi Lam; Matthew Willson (CoRR, 2023)

Deep Neural Network Initialization with Sparsity Inducing activations. - Ilan Price; Nicholas Daultry Ball; Adam C. Jones; Samuel C. H. Lam; Jared Tanner (ICLR, 2024)

Probabilistic weather forecasting with machine learning. - Ilan Price; Alvaro Sanchez-Gonzalez; Ferran Alet; Tom R. Andersson; Andrew El-Kadi; Dominic Masters; Timo Ewalds; Jacklynn Stott; Shakir Mohamed; Peter W. Battaglia; Rémi R. Lam; Matthew Willson (Nat., 2025)

Skillful joint probabilistic weather forecasting from marginals. - Ferran Alet; Ilan Price; Andrew El-Kadi; Dominic Masters; Stratis Markou; Tom R. Andersson; Jacklynn Stott; Rémi Lam; Matthew Willson; Alvaro Sanchez-Gonzalez; Peter W. Battaglia (CoRR, 2025)