Ibrahim, Adam

9 publications

ICML 2025 Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo

TMLR 2024 Simple and Scalable Strategies to Continually Pre-Train Large Language Models Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats Leon Richter, Quentin Gregory Anthony, Eugene Belilovsky, Timothée Lesort, Irina Rish

ICMLW 2024 Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo

ICMLW 2024 Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo

ICMLW 2023 Continual Pre-Training of Large Language Models: How to Re-Warm Your Model? Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats Leon Richter, Quentin Gregory Anthony, Eugene Belilovsky, Irina Rish, Timothée Lesort

ICMLW 2023 Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger, Pouya Bashivan

NeurIPS 2022 Gradient Descent Is Optimal Under Lower Restricted Secant Inequality and Upper Error Bound Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, Ioannis Mitliagkas

NeurIPS 2021 Adversarial Feature Desensitization Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake Richards, Irina Rish

ICML 2020 Linear Lower Bounds and Conditioning of Differentiable Games Adam Ibrahim, Waı̈ss Azizian, Gauthier Gidel, Ioannis Mitliagkas